trans-siberian gold...december 2012, was completed in may 2013 (stewart, 2013; tsg, 2013). at...

TRANS-SIBERIAN GOLD

ASACHA MINERAL RESOURCE ESTMATE

AT DECEMBER 31ST 2018

30th MAY 2019

Seequent - Asacha Mineral Resource Estimate - 31Dec2018.docx P1

Executive Summary

Seequent were initially invited by Trans-Siberian Gold (TSG) to create a resource estimate for the Asacha

deposit in Kamchatka, Russia in mid-2012. Mike Stewart (MS, Principal Consultant) visited Kamchatka from 10-

18th December 2012, and visited the mine site on 14-15th December. A resource estimate for Asacha as at 31st

December 2012, was completed in May 2013 (Stewart, 2013; TSG, 2013).

At TSG’s request, Seequent have updated the resource estimate for Asacha at the end of every year from 2013

until 31st December 2018. The purpose of these updates was to incorporate new data available from exploration,

mining development, and to account for mining depletion. This update entailed mining development data only.

Between 12-15th October 2017, Carrie Nicholls, (Senior Consultant), conducted a site visit to the Asacha deposit.

The purpose of the visit was to gain an understanding of the complexities of the deposit to aid the modelling

process; review the processes carried out in relation to the collection and processing of sample data; to gain an

understanding of their reconciliation process and exploration strategy. Also carried out at this time were visits to:

the underground operations, witnessing the channel sampling procedure; the exploration site of QV25 to the east

of the deposit; the core shed; the mine laboratory, though no sample preparation was underway; and the

crushing and processing circuit.

During Mike Stewart’s site visit in 2012, considerable time was spent on understanding the source and reliability

of available sampling and assaying data. In previous reports (Stewart, 2013, 2014, 2015) the lack of data

available to demonstrate the quality of older sampling and assaying was noted as a weak point in resource

estimates. Detailed QC data has been provided for the sampling and assaying undertaken during mining

production from 2012 to 2016. This clearly demonstrates that TSG’s current sampling and assaying practices

are delivering results that are fit for purpose. Because most of the resource estimate is informed by older data,

Seequent continue to recommend that the available QA/QC data from earlier diamond drilling programmes

should be collated, assessed and stored in an appropriate database.

It is Seequent’s opinion that ongoing mining and processing along with reasonable reconciliation between

prediction and production on contained metal has significantly de-risked the issue of the quality of older data in

estimating, classifying and reporting the Asacha Mineral Resources. Seequent are satisfied that the data

supplied are of sufficient quality for the purposes of mineral resource estimation and support the level of

classification applied to the estimate.

The resource at Asacha occurs in two zones: Main zone (currently being mined) and East zone (not yet mined).

Main zone comprises of six defined veins, with the bulk of the resource contained in two of these, QV1 and QV2,

while East zone is comprised of three narrow vein structures. The main zone has a strike length of approximately

1500m, whilst East zone is approximately 400m.

Vein interpretations were provided by TSG geologists in the form of level plans and coded diamond drill hole and

channel samples. Three dimensional geometry models of the vein interpretations were constructed by Seequent

using Leapfrog Geo software. Seequent made minor modifications to some vein interpretations. In general, the

geometry of the vein systems is well understood. Revisions to the vein model for this update was to take into

account a fault encountered around 55 180 Northing on the 100mRL, resulting in a 20m offset of QV1.

Resources were estimated using a combination of 2D and 3D estimation methods. Above the lowest level of

development, the presence of close spaced channel samples, many of which do not traverse the full width of the

vein, makes estimation in 3D from composites of regular length preferable. As mining development during 2018

on the 100mRL has now traversed almost the length of QV1 and QV2, the majority of estimates are by 3D

estimation methods. Only the peripheries of QV2 are informed by the 2D estimates as reported at 31st December

2013. Seequent understand that further resource definition diamond drilling is budgeted for calendar year 2019.


This will comprise of surface drilling for the lateral extents of the main and east zone, and underground drilling at

depth on the main zone.

Mineral Resources estimates were classified according to the guidelines of the JORC Code (2012).

Classification took account of data quality, confidence in geological interpretation and confidence in block

estimations. Some of these aspects are necessarily subjective. Classifications were applied by digitisation of

polygon boundaries between classes in long section view. Resources were only classified and reported within

constrained vein volumes, not within the surrounding host rock.

Mineral Resources estimates were reported above a cut-off grade of 4g/t Au. No mining dilution was applied.

Resources are reported after allowing for mining depletion to Dec 31st 2018.

Based on the presence of the operating mine and mill, existing mine economics, the potential for incremental

development access to deeper and more distal parts of the ore body, and the potential for further exploration

success, it is considered that all the vein resources defined at Asacha have a reasonable prospect of eventual

economic extraction.

The Mineral Resource estimate for Asacha as of December 31st 2018 is shown in Table 1 below.

Asacha Mineral Resource Estimate at December 31st 2018

Reported above 4 g/t Au cut-off grade

Classification Zone Kt Au (g/t) Ag (g/t) Au (Koz) Ag (Koz)

Measured Main 199 16 37 103 240

Indicated Main 295 19 54 182 515

Indicated East 3 56 30 6 3

Total M&I 498 18 47 290 758

Inferred Main 90 13 34 39 98

Inferred East 269 26 53 224 458

Total Inferred 360 23 48 263 557

Notes: Resources ae reported after mining depletion.

Tonnage and grades have been rounded to reflect an appropriate level of precision.

Rounding may mean that columns do not sum exactly.

Table 1 Asacha Mineral Resource Estimate - at 31st December 2018.

1.1. Sources of change between 2017 and 2018 resource estimates

The total (Measured + Indicated + Inferred) declared resource has decreased from 651 Koz Au and

1 638 Koz Ag as reported at 31st December 2017 to 553 Koz Au and 1 314 Koz Ag as at 31st December 2018.

The mining depletion accounts for 48 Koz Au and 154 Koz Ag from the model. The remaining adjustment is due

to substantial development on the 100mRL which has led to a re-interpretation of a large volume of the main

veins QV1 and QV2 that was previously estimated in 2013. The addition of the new data allowed for a 3D

estimate for all but small areas of QV2 which remain as a 2D estimate.


The following table gives a breakdown of adjustments:

Description Au (Koz) Ag (Koz)

Resource Estimate as at December 31st 2017 651 1 638

Mining depletion -48 -154

Difference due to model geometry and grade estimation changes

for new channel data -48 -169


Table 2 Reconciliation from 31st December 2017 to 31st December 2018

For the previous three years the model had been under-predicting the contained metal, however during 2018 the

model over predicted by 7%. The ore dilution remains high but has improved to 58%, which is 5% lower than

2017.


Contents

TRANS-SIBERIAN GOLD ................................................................................................................................. 0

1.1. Sources of change between 2017 and 2018 resource estimates ............................................................ 2

List of Abbreviations and Definition of Key Terms ..................................................................................................10

2. Introduction ......................................................................................................................................................11

2.1. History of Asacha Project .......................................................................................................................11

2.2. Site Visits ................................................................................................................................................11

2.3. Personnel ................................................................................................................................................11

3. Data .................................................................................................................................................................11

3.1. Drill Hole Database .................................................................................................................................11

3.2. Survey Control ........................................................................................................................................15

3.2.1. Collar survey ...................................................................................................................................15

3.2.2. Down hole surveys..........................................................................................................................16

3.2.3. Topographical Control ....................................................................................................................16

4. Sampling ..........................................................................................................................................................16

4.1. Diamond drill core ...................................................................................................................................16

4.1.1. Sample recovery .............................................................................................................................16

4.1.2. Sub-sample preparation .................................................................................................................16

4.2. Channel sampling ...................................................................................................................................17

5. Sample Assaying .............................................................................................................................................17

5.1. Analytical Laboratories ...........................................................................................................................17

5.2. Assay Methods .......................................................................................................................................18

5.2.1. Diamond drill samples ....................................................................................................................18

5.2.2. Channel samples ............................................................................................................................18

6. Assay QAQC ...................................................................................................................................................19

6.1. TSG channel sample data – 2018 ..........................................................................................................19

6.1.1. Certified Reference Materials .........................................................................................................19

6.1.2. Checks on sample preparation .......................................................................................................22

6.1.3. Coarse duplicates ...........................................................................................................................22

6.1.4. Pulp duplicates ................................................................................................................................23

6.2. Discussion and Conclusions ...................................................................................................................24

7. Bulk Density .....................................................................................................................................................24

8. Geological Interpretation .................................................................................................................................25

8.1. Deposit Geology .....................................................................................................................................25

8.2. Geological Interpretation .........................................................................................................................25

8.3. Wireframe construction ...........................................................................................................................26


9. Data Preparation .............................................................................................................................................26

9.1. Estimation Approach ...............................................................................................................................26

9.1.1. Main Zone .......................................................................................................................................26

9.1.2. Eastern Zone ..................................................................................................................................27

9.2. Data Coding ............................................................................................................................................28

9.3. Compositing ............................................................................................................................................28

9.3.1. Full width vein composites ..............................................................................................................28

9.3.2. Fixed length composites .................................................................................................................28

9.4. Data Exclusions ......................................................................................................................................29

10. Exploratory Data Analysis ...........................................................................................................................31

10.1. Basic Statistics ........................................................................................................................................31

10.1.1. Full width accumulations .................................................................................................................31

10.1.2. Regular composites ........................................................................................................................33

10.2. Data Transformations .............................................................................................................................34

11. Variography .................................................................................................................................................35

11.1. Full width vein accumulations .................................................................................................................35

11.2. Regular composite variograms ...............................................................................................................37

11.2.1. Calculation Parameters ..................................................................................................................37

11.2.2. Variogram Modelling .......................................................................................................................37

12. Estimation ...................................................................................................................................................39

12.2. Block Size ...............................................................................................................................................40

12.3. Model definition and coding ....................................................................................................................41

12.3.1. Block Model definition .....................................................................................................................42

12.3.2. Translation from 3D to 2D ...............................................................................................................42

12.4. 2D Estimation..........................................................................................................................................43

12.4.1. Main Zone Veins .............................................................................................................................43

12.5. 3D Estimation..........................................................................................................................................45

12.5.1. Variable Orientation ........................................................................................................................45

12.6. Estimate Validation .................................................................................................................................46

12.6.2. Implementation ...............................................................................................................................46

12.6.3. Statistical Checks – 2D ...................................................................................................................46

12.6.4. Statistical Checks – 3D ...................................................................................................................49

12.7. Model post processing ............................................................................................................................52

12.8. Classification ...........................................................................................................................................53

12.9. Mining depletion ......................................................................................................................................54

12.10. Reasonable prospects of eventual economic extraction ....................................................................55

13. Resource Tabulations .................................................................................................................................56


13.1. Sources of change between 2017 and 2018 resource estimates ..........................................................56

14. Exploration Target Material .........................................................................................................................57

15. Audits or Reviews of Mineral Resource Estimates .....................................................................................57

16. Conclusions and Recommendations ..........................................................................................................57

17. Signature Page ...........................................................................................................................................58

18. References ..................................................................................................................................................59

19. Appendices .................................................................................................................................................60

Appendix 1: Data Used .......................................................................................................................................60

Appendix 2: TSG Laboratory Certificate .............................................................................................................86

Appendix 3: JORC Code, 2012 Edition – Table 1 ..............................................................................................87

Section 1 Sampling Techniques and Data ......................................................................................................87

Section 2 Reporting of Exploration Results .....................................................................................................93

Section 3 Estimation and Reporting of Mineral Resources .............................................................................96


List of tables

Table 1 Asacha Mineral Resource Estimate - at 31st December 2018. .................................................................. 2

Table 2 Reconciliation from 31st December 2017 to 31st December 2018 .............................................................. 3

Table 3 Drilling information by year and data type – valid holes ............................................................................12

Table 4 Drilling information by year and data type for excluded holes ...................................................................13

Table 5 Drill hole files provided...............................................................................................................................15

Table 6 Statistics of CRM performance ..................................................................................................................19

Table 7 Pulp duplicates - mean and CV. ................................................................................................................24

Table 8 Conversion of TSG coding to numeric.......................................................................................................26

Table 9 Excluded drillholes from 2018 vein interpretation ......................................................................................28

Table 10 Minesight composite files ........................................................................................................................29

Table 11 Diamond drillholes excluded from estimates. Cells shaded blue are new exclusions in 2018. ..............30

Table 12 Statistics of full width vein composites - raw grade variables. ................................................................31

Table 13 Statistics of full width vein accumulation composites. .............................................................................32

Table 14 Summary statistics of 1m composites. ....................................................................................................34

Table 15 Top caps applied. ....................................................................................................................................35

Table 16 Full width vein accumulation variogram models. .....................................................................................37

Table 17 Variogram models as proportions, Au and Ag variograms, 1m composites. ..........................................39

Table 18 Model origin and dimensions used to construct volume model for Main Zones QV 10, 20 and 40. .......42

Table 19 Origin and dimension of 3D estimation model in transformed space. .....................................................42

Table 20 Origin and dimension of 2D estimation model in transformed space. .....................................................42

Table 21 Search parameters used for vein estimation in 2D. ................................................................................45

Table 22 3D estimation search parameters............................................................................................................45

Table 23 QV comparison of declustered input grades and estimated output grades by vein. ...............................47

Table 24 Declustered top capped 1m composite means versus kriged block means for updated veins...............52

Table 25 Classification applied to veins informed by diamond drilling only. ..........................................................54

Table 26 Comparison of model prediction to mill production. ................................................................................55

Table 27 Asacha Mineral Resource Estimate - at 31st December 2018. ..............................................................56

Table 28 Reconciliation from 31st December 2017 to 31st December 2018 ..........................................................56

Table 29 Included diamond drillholes .....................................................................................................................60

Table 30 Included channel samples to 31st December 2012 .................................................................................68

Table 31 Channel samples added during 2013 ......................................................................................................69







Table 37 Excluded channel samples ......................................................................................................................85


List of figures

Figure 1 Collar plan of drill holes ............................................................................................................................13

Figure 2 Long section view of drilling and channel samples. 2018 samples coloured orange ..............................14

Figure 3 Location of samples with Ag grade recorded as 0, and Au by X-ray only (red = 0 g/t Ag, blue>0 g/t Ag)

................................................................................................................................................................................18

Figure 4 CRM 60c Au results from 2018 ................................................................................................................20

Figure 5 CRM 60c Ag results from 2018 ................................................................................................................20

Figure 6 CRM 61e Au results from 2018 ................................................................................................................21

Figure 7 CRM 61e Ag results from 2018 ................................................................................................................21

Figure 8 Scatter plot of coarse duplicates for Au ...................................................................................................22

Figure 9 QQ plot of coarse duplicate analyses for Au ............................................................................................23

Figure 10 Internal pulp duplicate checks - 2018 .....................................................................................................23

Figure 11 External pulp duplicate checks - 2018 ...................................................................................................24

Figure 12 Long section illustrating areas estimated by 2D versus 3D. Channel sampling from development in

2018 shown in orange. ...........................................................................................................................................27

Figure 13 Histogram of AuM in QV 10, above 190mRL on left, below 190mRL on right. ......................................32

Figure 14 Histogram of AuM in QV 20, above 190mRL on left, below 190mRL on right. ......................................33

Figure 15 Experimental and modelled variograms of AuM, AgM and Horizontal thickness for Vein 1 (QV 10). ...36

Figure 16 Experimental and modelled variograms of AuM, AgM and Horizontal thickness for Vein 2 (QV=20). ..36

Figure 17 QV1 Variogram model, in the major, semi-major and minor directions. ................................................38

Figure 18 QV2 variogram model, in the major, semi-major and minor directions. .................................................38

Figure 19 Comparison of estimated tonnage versus cut-off for different block sizes with a theoretical grade

tonnage curve for 10x20m blocks (QV=10, AuM). .................................................................................................41

Figure 20 Illustration of coordinate transform applied prior to estimation. Here QV1 is shown in original

coordinates on left, transformed on right. ...............................................................................................................43

Figure 21 Example of kriging neighbourhood analysis carried out for estimation of QV=10. ................................44

Figure 22 Swath plot, QV 10 by 20m elevation slices, horizontal thickness. .........................................................48

Figure 23 Swath plot, QV 10 by 20m elevation slices, Au accumulation. ..............................................................48

Figure 24 Swath plot, QV 10 by 20m elevation slices, back calculated Au. ...........................................................49

Figure 25 Swath plot for QV10 in 10m increments, Au. .........................................................................................50

Figure 26 Swath plot for QV10 in 10m increments, Ag. .........................................................................................50

Figure 27 Swath plot for QV20 in 10m increments, Au. .........................................................................................51

Figure 28 Swath plot for QV20 in 10m increments, Ag. .........................................................................................51

Figure 29 Classification applied to QV 10 ..............................................................................................................53

Figure 30 Classification applied to QV20 ...............................................................................................................54


List of Abbreviations and Definition of Key Terms

Term Definition

CKGE Central Kamchatka Geological Expedition

OK Ordinary Kriging

QAQC Quality Assurance, Quality Control

TSG Trans-Siberian Gold plc

TVX TVX Inc.

TZ Trevozhnoe Zarevo

g/t Grams/tonne

M*g/t metre grams per tonne (product of metal grade multiplied by intercept length)


2. Introduction

2.1. History of Asacha Project

The Asacha deposit was discovered in 1973, and exploration work was undertaken by the state owned Central

Kamchatka Geological Expedition (CKGE) between 1986 and 1990. In 1990 a mining licence was granted to

Trevozhnoe Zarevo (TZ), and in 1994 TVX Gold Inc. (TVX) acquired a 50% stake in the company. Exploration

work was carried out by TVX between 1996 and 1998. In 2001 Trans-Siberian Gold (TSG) acquired TVX’s 50%

stake in TZ, and increased this to 90% in 2002. TSG acquired the remaining 10% interest in TZ in two tranches;

2007 and 2010. TSG conducted geological exploration drilling of the Main Zone in 2004-2005, and of the

Eastern Flank during 2012. Mine development commenced in 2008, and mining (extraction and stoping) started

in the middle of 2011.

2.2. Site Visits

Mike Stewart (MS, Principal Consultant - QG) visited Kamchatka from 10-18th December, 2012, and travelled to

the Asacha mining operation on 13-15th December. Whilst on site, underground operations, the processing

plant, the mine laboratory, the mining offices and core storage area were visited.

Between the 12-15th October 2017, Carrie Nicholls, conducted a site visit to Trans Siberian Gold’s (TSG) Asacha

gold mine, Kamchatka. The purpose of the visit was, as Competent Person (CP) for the Asacha mineral

resource estimate, to gain an understanding of the complexities of the deposit to aid the modelling process;

review the processes carried out in relation to the collection and processing of sample data; to gain an

understanding of their reconciliation process and exploration strategy. Also carried out during this time were

visits to: the underground operations, witnessing the channel sampling procedure; the exploration site of QV25

to the east of the deposit; the core shed; the mine laboratory, though no sample preparation was underway; and

the crushing and processing circuit.

2.3. Personnel

Carrie Nicholls, Senior Consultant

Carrie is a geologist with more than 15 years of experience in geostatistical analysis, geological modelling and

resource estimation. Carrie has extensive experience in open pit gold mining operations in Africa and Venezuela

and has undertaken geostatistical and geological modelling work for a variety of deposits including gold, copper

and niobium. She holds a B.Sc. (hons) degree in geology from Bristol University, UK and a M.Sc. in Mineral

Resources from the University of Wales, Cardiff, UK. She is a member of the AusIMM and Geological Society of

London.

Mike Stewart, Technical Domain Expert

Mike is a geologist with extensive experience in a wide range of commodities and deposit types, including

experience with gold deposits. He has specific expertise in resource estimation, resource classification,

sampling, assaying and quality control issues and wide experience of resource auditing with major mining

companies worldwide. Mike holds B.Sc. and M.Sc. degrees in geology from the University of Canterbury, NZ,

and a post-graduate diploma (CFSG) in geostatistics from Ecole des Mines de Paris, Fontainebleau.

3. Data

3.1. Drill Hole Database

Many different generations of sampling and assaying data are present in the Asacha drill hole database (Table 3

and Table 4). This includes surface and underground channel sampling as well as diamond drill hole data.

The first phase of data collection was by the Russian Governmental organisation CKGE, who undertook

exploration work between 1986 and 1990, with later phases of drilling by TVX and TSG. To date 3 870

underground channel samples, totalling 12 218m have been collected since TSG commenced mining in 2010.


Valid Holes

Company Year Hole Type # holes Total metres Prefix

CKGE

1988 DDH 158 33 075.6 C003-C328

Surface Channel 366 2 976.8 K, T

UG Channel 465 2 579.5 T1, T-BK

UG Raise 69 370.5 S1, S2, S3, S4, S5

TVX 1996 DDH 106 17 425.5 A74 001 - A74 146

TSG

2004/5 DDH 119 23 382.7 1A – 606A

2010 UG Channel 64 431.6 B, O, R

2011 UG Channel 379 1 936.0 B, D, O, R

2012 UG Channel 569 2 191.9 B, O, R

2013 UG Channel 88 456.1

2014 UG Channel 603 1443.05

2015 UG Channel 561 1608.92

2016 UG Channel 581 1 518

2017 DDH 25 6 402.3 C1703 – C1748

2017 UG Channel 716 1 832.2 KV, ORT, RS, TVSH, VHS

2018 UG Channel 309 800.4 ORT, RRS, RS, TVS

TSG (Eastern zone)

2012 DDH 47 11 202.6 C1001-C1090

2016 DDH 17 4 096.9 C1602-C1606, C1620,C1611, C1621, C1622, C1625, C1627, C1629, C1631, C16311, C1633, C1634, C1638

TOTAL 5 242 113 731.12

Table 3 Drilling information by year and data type – valid holes


Excluded holes

Company Year Hole Type # holes Total metres

CKGE 1988 DDH 14 2 160.4

UG Raise 82 540.0

TVX 1996 DDH 15 1,928.2

TSG 2005 DDH 8 1,310.8

2011 UG Channel 199 1,374.7

TOTAL 318 7 314.1

Table 4 Drilling information by year and data type for excluded holes

The drillhole and channel sample collars used for the estimate are illustrated in the figure below. There were no

new exploration drillholes for 2018. Figure 2 is a long section showing the drillholes and channel samples used

in the estimate.

Figure 1 Collar plan of drill holes


Figure 2 Long section view of drilling and channel samples. 2018 samples coloured orange

Drill hole data was received from TSG in several different formats. Whilst on site (2012), a copy of the Microsoft

Access drill hole database was obtained (asa11.accdb). This contains the usual collar, survey, assay and

lithology tables, as well as list of accepted lithology codes.

For subsequent estimates, the data has been provided in Excel spreadsheets, exported from the database. The

spreadsheets are provided individually for collar, surveys, assay and lithology (logged veins) files. The data is

validated and any inconsistencies are sent back to TSG, who then provide the corrected files. The files that have

been during the history of deposit estimation are listed in Table 5.

TSG drilling from the Eastern Zone (EZ) was provided as a separate MS Access data (xxasa.accdb dated 15

Mar 2013)). From this, Seequent extracted separate collar, survey, lithology and assay files (listed in Table 5

below). Diamond drill hole data undertaken during 2017 were provided in Excel spreadsheets.


Filename Details

01_collar_asa_09.04.2013.xlsx



01_collar_asa_01012016_f_correct.xlsx

01_collar_asa_01012017_correct.xlsx

01_collar_asa_01012018_correct.xlsx

01_collar_asa_31122018.xlsx

Mai

n Z

on

e. P

rov

ided

dir

ectl

y i

n E

xce

l w

ork

boo

k f

orm

at.

Hole ID, East, North, RL, Depth, hole path,

year/company, exclusion flag

02_survey_asa_09.04.2013.xlsx



02_ survey_asa_01012016_f_correct.xlsx

02_survey_asa_01012017_correct.xlsx

02_survey_asa_01012018_correct.xlsx

02_survey_asa_31122018.xlsx

Hole ID, depth, azimuth, dip

03_assay_asa_09.04.2013.xlsx



03_ assay_asa_01012016_f_correct.xlsx

03_assay_asa_01012017_correct.xlsx

03_assay_asa_01012018_correct.xlsx

03_assay_asa_31122018.xlsx

Hole ID, from, to, Sample ID, Au, Ag

04_lithology_asa_09.04.2013.xlsx



04_ lithology_asa_01012016_f_correct.xlsx

04_lithology_asa_01012017_correct.xlsx

04_lithology_asa_01012018_correct.xlsx

04_lithology_asa_31122018.xlsx

Hole ID, from, to, v_code_QV (veins defined from

logging)

EZCol.csv

HEADER2016_correct.xls

Eas

tern

Zo

ne.

Ex

trac

ted

by

See

qu

ent

fro

m x

xas

a.ac

cdb

Hole ID, East, North, RL, Depth (note: no exclusions)

EZSur.csv

SURVEY2016_correct.xlsx Hole ID, depth, azimuth, dip

EZAss.csv

ASSAY2016_correct.xls Hole ID, from, to, Au, Ag

EZLith.csv

LITHOLOGY2016_correct.xlsx Hole ID, from, to, l_code,a_code

Table 5 Drill hole files provided

3.2. Survey Control

3.2.1. Collar survey

It is reported in Hatch (2006) that CKGE holes were originally surveyed in an unrecorded local coordinate

system. Forty-one of these holes were re-surveyed for TVX by an independent contractor (KamchatTISIZ), which


allowed them to establish a transformation to migrate most CKGE holes coordinates into the local grid currently

in use. All TVX and TSG diamond drill holes were picked up by KamchatTISIZ in this grid system with a reported

accuracy of 3cm. The definition of the grid could not be provided, as this information is still restricted in

Kamchatka.

Since commencement of mining, surveying of development openings is carried out by the registered mine

surveyor. Geology staff locate channel collar and path relative to the surveyed outline. It is considered that

underground channel sample locations will be generally located with +/- 25cm of true location.

The collar positions of the drilling carried on the eastern zone during 2016 and main zone 2017 were captured

using tachymeter Nikon Nivo 5 MW.

In the database of drill holes provided by TSG a total of 37 drill holes are flagged to be excluded from estimates

due to uncertainty about location.

3.2.2. Down hole surveys

In the historic database, no information regarding the method of down hole surveying was attached to drill hole

data provided to Seequent. Soviet era holes were apparently surveyed using the MIR 36 magnetic survey tool,

TVX era holes were surveyed with a Wel Nav single shot magnetic survey, and TSG holes with a Reflex single

shot magnetic tool. The interval of down hole surveying varies but is routinely between 10 and 60m.

TSG survey the hole during drilling to track the deviation and it is stipulated in the contract for the drilling

contractor that the hole must not deviate by more than 5°. The hole is then surveyed every 20m as final

measurements for the database when the hole is complete.

In well-controlled holes, the rates of deviation observed are low and there is no strong trend in the direction of

deviation. No issues were noticed with un-realistic orientation changes or unusual hole traces, and Seequent

regard the quality of the location of samples in diamond drill holes to be acceptable and fit for purpose. There are

no strongly magnetic mineral species present.

3.2.3. Topographical Control

The topographic survey was carried out by by KamchatTISIZ JSC in 1997 and digitized in 2004 by GEOSEIS Ltd

on a scale of 1:1000 (Pulkovo 1942, Gauss-Kruger projection, Area 27).

4. Sampling

4.1. Diamond drill core

4.1.1. Sample recovery

The issue of diamond drill core sample recovery was discussed in some detail in previous reports (Hatch, 2006),

and was considered a possible source of bias in early generation data. This issue remains un-resolved (and is

unresolvable), although as mining progresses the risk of any gross bias due to core loss diminishes.

Seequent were provided with core photographs of TSG drill holes (C1001-C1070) from the eastern zone. These

show that whilst core is generally quite broken, the volume recovered does not appear to be significantly

compromised, and vein recoveries are relatively high. Drill core recovery for the 2016 drilling campaign averages

99%. The poorest recoveries within the 2016 dataset (<90%) were investigated and were all found to be more

than 50m from the intersected mineralisation and therefore of no risk.

Core recovery is routinely measured and it is stipulated in the contract with the drilling contractor (2017) that core

recovery of not less than 95% within the mineralized zones and not less than 85% in the host rock is acceptable.

TSG are actively trying to ensure that high core recovery rates are achieved.

4.1.2. Sub-sample preparation

All diamond core sampling is either of full core or diamond saw cut half core. Since 2012 whole core has been

analysed. The whole core is assayed in 1m intervals, or part of 1m to honour contacts. Historically half core has

been submitted, but the sawing process was not always accurate and weight checks confirmed they were often


not equal. In addition, there was a certain amount of loss in the sawing process, which on NQ diameter core was

amplified. Seequent support TSG’s practice of full core assay for its exploration and production activities, given

that Asacha is a mature operation and the geology is well understood.

CKGE drill hole samples were assayed at the Geological Survey Laboratory in Milkovo, Kamchatka, while TVX

drill holes sample were assayed at KamchatGeologia Laboratories in Petropavlovsk.

Core drilled by TSG was analysed by KamchatGeologia Laboratories, with check assaying at a laboratory in

Irkutsk. Since 2016, which included the drill core on eastern zone, core sampling was analysed at the on-site

TSG laboratory.

The sample preparation flow chart was discussed in previous reports (Hatch, 2006) and conforms to industry

standard sample preparation.

4.2. Channel sampling

An initial phase of surface trenching and underground adit sampling was undertaken by CKGE in 1986-1990.

TVX reportedly repeated some of the surface channel sampling in 1997 (Hatch 2006), but there are no surface

samples of this date in the data provided. Most the surface trench sampling is now inaccessible due to stoping

from beneath.

The underground sampling conducted by CKGE is of unknown quality.

Since commencing mining in 2010, TSG have collected over 11,000m of underground channel sampling from

the face and walls of development drives. Seequent visited the underground developments in both 2012 and

2017 and observed the practice of face sampling. Samples are collected by chipping along a marked line, with

attention paid to ensuring that the volume collected is even along the axis of sampling to minimise bias.

Realistically this is how most face sampling is conducted – the most important measure for combating bias in

collection is ensuring that the geologist sampling is aware of the potential for this type of bias. The main

advantage of face sampling lies in their large number, large volume and close spacing.

Face samples are processed by the on-site laboratory. Seequent inspected the sample preparation facility and

found it to be clean and well equipped. At the time of the visit, sample preparation was not underway. The

sample preparation flow sheet is very similar to that used on diamond core. Samples are:

▪ Dried at 105°C;

▪ Crushed to approximately 3mm in a Boyd Crusher;

▪ 5.5kg sample is reduced to 2 x ~0.5kg samples using a rotary splitter. One sample is retained for

reference;

▪ Pulverised in a Continuous Ring Mill to ~90% passing 75μm.

To avoid contamination in the continuous ring mill, the mill is air cleaned between every sample, and barren flush

material is introduced after every 5 samples. The pulverised product is approximately 90% passing 75µm.

Seequent’s only concern is with the use of a continuous ring mill for high grade gold preparation, as there is

significant potential for sample cross contamination. While TSG are employing appropriate hygiene measures to

reduce the risk of this problem, there is no systematic checking in place to ensure it is not occurring. During

2014, TSG began checks on contamination, by introducing blank samples into the sample stream adjacent to

high grade samples. To date this has not highlighted any presence of contamination in the samples following

high grades.

5. Sample Assaying

5.1. Analytical Laboratories

All mine samples are sent to the on-site laboratory, which includes exploration, channel samples, grab samples,

plant samples and bullion. The laboratory has been in operation since late 2011 and was certified in accordance

with Russian standards on the 12th August 2016. The expiration of the certificate is the 5th November 2021. The

certificate confirms that the laboratory has met the necessary standards to provide analyses, including those in


water and air, as well as metal assays in Dore bars, analysis of gold in activated carbon, ore and pulp. The

certificate is provided in the appendix of this report.

Check samples have been sent to various laboratories over the years (refer to Mineral Resource report for 2016

(Nicholls, 2017)). During 2017 check samples were sent to IRGIREDMET Laboratory (Irkutsk Scientific-

Research Institute of Precious and Rare Metals and Diamonds) in Irkutsk.

5.2. Assay Methods

5.2.1. Diamond drill samples

The bulk of assays in the resource estimate are fire assays with gravimetric finish. CKGE samples were assayed

at the Geological Survey Laboratory in Milkovo, Kamchatka (precision of 0.1g/t), while TVX and TSG samples

have largely been processed at KamchatGeologia Laboratories in Petropavlovsk. Since 2012 samples have

been analysed at the on-site laboratory using 50g fire assay with gravimetric finish.

5.2.2. Channel samples

Historic CKGE and TVX surface and underground samples were analysed for Au and Ag. A two stage approach

was used in this sampling:

▪ All veins and visually identified prospective mineralised zones were fully sampled on 0.5 to 1.0m

intervals and the samples sent for Fire Assay at KamchatGeologia Laboratories. The detection limit

on Au in this assaying is 0.2-0.5g/t while the precision of determination is 0.1g/t;

▪ Waste zones were chip sampled on intervals of 3-5m and the samples sent for X-ray spectral

analysis. If the spectral analysis returned a grade of more than 0.5g/t Au, the interval represented

was re-sampled at intervals of 0.5-1.0m and the samples sent for fire assay as above.

Underground channel samples from the current mining operation have been processed in one of two ways.

Until 4th quarter 2011, all samples were analysed by X-ray spectral analysis in the Asacha laboratory. Quality

control of these spectral analyses was by fire assay at KamchatGeologia Laboratories. These analyses may be

identified in the database by the absence of a silver assay. These are mostly found at the northern most (first

accessed) end of development (Figure 3). Treatment of these assays during estimation is dealt with in Section

11.1.

In 4th quarter 2011, the fire assay facility at Asacha laboratory was completed. Since this date, all samples have

been analysed on site by 50g fire assay. Seequent toured the on-site analytical facility and were impressed by

the setup and management of the laboratory. Au and Ag analysis is by conventional fire assay, with a

gravimetric finish.

Figure 3 Location of samples with Ag grade recorded as 0, and Au by X-ray only (red = 0 g/t Ag, blue>0 g/t Ag)


6. Assay QAQC

For previous reporting of QAQC please refer to the Mineral Resource report for 2016 (Nicholls, 2017) which

contains all the historic commentary and is discussed in detail.

6.1. TSG channel sample data – 2018

The geology department do not routinely submit QC samples into the circuit. The following analyses relate to the

on-site laboratory’s own insertions. The laboratory insert four QC samples in each batch of 24. Two are blanks

and two are certified reference material (CRM). If one fails then the whole batch is re-assayed.

6.1.1. Certified Reference Materials

TSG acquired two CRM’s which are used exclusively by the laboratory as part of their routine QAQC. The two

CRM’s are from OREAS, an Australian based company and are 60c and 61e. Both these reference materials

originate from a high gold grade low sulphidation epithermal deposit hosted by meta-andesitic volcanics in

Queensland, Australia, therefore a similar matrix to the Asacha deposit.

The results from both CRM’s, in Table 6 below, show that there is a low bias relative to the certified mean for

both Au and Ag. The laboratory means for the Au and Ag are within 6%, however the relative standard deviation

(RSD) is significantly higher than the certified RSD. When looking at the charts there are clearly a number of

sample swaps which would impact on this result.

Ideally the failure rate should be less than 10% and CRM 60c exceeds this rate based on the certified standard

deviations. If the failure rate was to be based on the laboratory mean and standard deviations then the failures

would be significantly reduced. This can be taken into consideration if these CRM’s continue to be used.

However there appear to be a few sample swaps and if these were taken into consideration the failure rate of

60c would be slightly reduced as based on the certified control limits.

Element CRM No.

samples Expected

value % difference

with CRM mean Certified RSD

(CV%) Lab RSD (CV%)

% Failures

Au 60c 283 4.47 -6% 3.24% 13.4% 29%

61e 276 4.43 -4% 3.39% 8.8% 16%

Ag 60c 273 4.87 -6% 4.52% 24.6% 40%

61e 277 5.27 -5% 8.16% 18.3% 13%

Table 6 Statistics of CRM performance

The best practice is to monitor the performance of a given CRM over a period of time to determine any drift in

the analyses of the laboratory by plotting a rolling average on 30-40 samples. The following graphs are for the

analyses of both gold and silver.


Figure 4 CRM 60c Au results from 2018

Figure 5 CRM 60c Ag results from 2018


Figure 6 CRM 61e Au results from 2018

Figure 7 CRM 61e Ag results from 2018

▪ CRM 60c shows a consistent low bias over the time period for the Au analyses. The analyses for the

Ag shows a significantly higher temporal variation with both Ag and Au displaying periods where they

track outside of the 3 standard deviations.

▪ CRM 61e for the Au and Ag analyses almost mirror behavior in terms of the moving average over the

time period, but is more exaggerated for the Ag. In terms of Au, the moving average has tracked

below the mean throughout the year. The Au analyses have consistently averaged below the mean.

▪ Of the two CRM 61e performs closer to the expected mean than 60c, as confirmed in the statistics.


▪ This is the second year of using these CRM’s and the results have been fairly consistent with 2017.

The exception for 2018 is that the rate of failures has substantially increased.

6.1.2. Checks on sample preparation

It is usual for TSG to submit a number of very high grade samples bracketed by barren waste samples as a way

to check cross-sample contamination. However, this was not carried out during 2018

6.1.3. Coarse duplicates

A total of 72 coarse duplicates were analysed, which represent a second split of the coarse crush. A scatter plot

of original versus check result shows that the precision of face samples is relatively poor (Figure 8). A QQ plot of

Au checks versus original samples shows that there is no bias up to around 20 g/t. Above 20 g/t the check

samples show generally lower grades, but the number of samples is low, and individual results can greatly affect

the mean.

Figure 8 Scatter plot of coarse duplicates for Au


Figure 9 QQ plot of coarse duplicate analyses for Au

6.1.4. Pulp duplicates

A total of 170 pulp duplicates were collected and submitted for check assays. The pulp duplicate was split in two,

one was re-assayed at the on-site laboratory for the internal check and the other half was assayed at an external

laboratory which was the IRGIREDMET Laboratory in Irkutsk.

The following graphs are for the internal and external checks, for both Au and Ag. The charts have been zoomed

in to where the majority of the samples sit.

Figure 10 Internal pulp duplicate checks - 2018


Figure 11 External pulp duplicate checks - 2018

The pulp duplicates for both the internal checks and external check assays show excellent correlation with the

original, indicating good repeatability by the laboratory. The external laboratory check samples indicate that the

TSG on-site laboratory has a slight low bias which is consistent with the findings from the CRM data and with

previous years. Overall the means and CV indicate that there are no problems in the sample workflow at the

laboratory.

Laboratory Mean Au g/t

CV Mean Ag g/t

CV

TSG - original 55.19 3.11 138.34 2.19

TSG – internal check 55.03 3.11 142.42 2.13

Irgiremedet – external check 56.13 3.07 143.21 2.11

Table 7 Pulp duplicates - mean and CV.

6.2. Discussion and Conclusions

The CRM and the pulp duplicate checks indicate that the TSG laboratory has a slight low bias, which is

consistent with previous findings.

Seequent re-iterate the importance of maintaining a good QAQC programme whereby blanks, CRM, pulp and

coarse/rig duplicates are submitted and analysed. The QAQC programme in place is what the on-site laboratory

conduct as part of their own procedure. It is recommended that the geology department initiate their own QAQC

programme for their sample submission to the laboratory and external checks. The key to having a successful

QAQC programme is continually monitoring the results to act on periods when the laboratory is not performing

as expected which is not currently happening. TSG have shown commitment to initiate a thorough QAQC

programme to accompany the exploration drilling programme planned for 2019.

7. Bulk Density

Bulk density values to apply to the model were provided by TSG who advised that a value of 2.48 t/m3 should be

applied to all mineralised domains regardless of oxidation state or RL. This measurement is based on around

160 core samples taken from the 1990’s. During the visit to the underground workings in the southern end of the

deposit, it was noted that the veins and host rocks in this area are more faulted and are characterised by an


abundance of clay minerals. This contrasts with the northern area where the rocks are more competent and the

vein contacts are clear and well defined. It is recommended that density measurements are taken for the softer

faulted material to ascertain to whether the used density measurement is applicable in this area. If it is in fact

lower density then this will overstate the expected metal content (Nicholls, 2017).

8. Geological Interpretation

8.1. Deposit Geology

The Asacha deposit is of Pliocene age, and is classified as a low-sulphidation, quartz, sericite, adularia

epithermal Au/Ag deposit. The deposit has formed in a collapsed caldera complex that consists of volcaniclastic

tuffs, overlain by coarse grained dacites-andesites and tuffs.

Two zones of mineralisation have been identified, comprising concentrations of north-south striking vein

structures – Main Zone which hosts the largest and most continuous veins, and East Zone where the veins are

generally narrower and less continuous.

The veins are hosted in two main lithologies:

▪ The upper volcanics - which are dominantly coarse-grained dacite andesite tuff units; and

▪ The lower volcanics – which are dominantly volcaniclastic tuffs.

The vein systems are banded accumulations of quartz, adularia, chalcedony, saccharoidal quartz, carbonate and

ginguro (smoky black bands of fine grained mixed base metal sulphides). The banded habit of the veining

suggests a typical cyclic crack-seal formation mechanism.

The veins generally display hard contacts with the surrounding host rock but in some areas, the mineralisation

extends as stockworks into the host rock within the hanging wall and footwall and also within clayey-brecciated

zones.

8.2. Geological Interpretation

The primary geological interpretation of Asacha was provided by TSG in the form of coded drill hole intercepts

and digitised level plan interpretations.

Typically, quartz veins are tabular planar structures that have predictable continuity. While this may be

complicated by splitting or splays, in general a relatively high degree of confidence can be placed in the

interpretation of veins. During 2018 substantial mine development was taken on the 100mRL. At the

55 180 Northing, towards the southern end of the deposit, a fault was encountered which offset QV2 by

approximately 20m to the west. The 3D vein model was updated to reflect this which split QV1 into a north and

south component, as shown in Figure 12.

At Asacha there is also Au and Ag mineralisation in stock-work and sheared material marginal to the vein

structures. In places, the grade of this material is such that it should be mined and processed. However, this

mineralisation is generally somewhat erratically developed and does not usually have the same predictable

continuity as the veins.

In the 2012 resource estimate, an attempt was made to model the economic grade material in the vein margins,

as well as the veins. As well as the coded interpretation of veins (QV), two additional coding sets were created

that incorporated marginal material above a 4g/t Au (code QV+4) and 2g/t Au cut-off (code QV+2). Geometric

vein models were created for the QV+4 set, although time precluded construction of the QV+2 interpretations. In

practice, it was found that the additional tonnage captured by this modelling exercise was insignificant and it was

decided that there was little value in approach.

Consequently, updates of the resource model since 2013, only the vein interpretation (QV) models were created.

The geological coding provided by TSG was alphanumeric. To facilitate use in modelling, Seequent converted

these to numeric codes as follows:


QV

TSG

coding

Seequent

coding

QV 1

QV1 10

QV2 20

QV21 21

QV3 30

QV31 31

QV32 32

QV4 40

QV5 50

QV6 60

QV18 18

QV25 25

Table 8 Conversion of TSG coding to numeric

8.3. Wireframe construction

The three dimensional geological model for Asacha has been constructed in Leapfrog Geo software. Leapfrog

Geo uses a method known as implicit modelling, which is based on interpolation of surfaces from control points,

such as contacts between units in drill holes and/or points/lines. Up to 2015, the vein models were constructed

from points and interpretation line work digitised from the drilling. This meant that the vein models could not be

directly updated from new drilling intercepts, but required digitising of lines off the drilling which was then added.

During 2015, the vein models were converted so that they are built entirely from vein coding attached to assay

intervals. This resulted in minor local changes to the vein models, although global volumes are very similar. The

vein model constructed in 2015, has been used as a basis and year on year has been updated with new data

from site.

9. Data Preparation

9.1. Estimation Approach

The resource estimate was undertaken in Leapfrog Edge. The veins that were not updated this time were

estimated in various software including Datamine, Minesight and Isatis. References to all software packages are

retained to preserve the methods used for the historic estimates. The new estimates for 2018 affect QV1, 2 and

4 only, which were all estimated in 3D.

9.1.1. Main Zone

The veins interpreted at Asacha have average widths ranging from 0.8 to ~2.5m, and lateral dimensions of a few

100m up to +1km. Data density also varies from ~3m (along development drives) to a semi-regular drill spacing

of approximately 50-80m in areas defined by diamond drilling.

Main Zone can be separated into two sub-areas with very different sampling methods and spacing – above and

below the base of current level development. During 2018 the 100mRL level was developed to intersect QV2

and most of QV1. Below this level the core samples are at an average spacing of 50-80m. In previous estimates,

the deposit was estimated by 3D methods above the base of mine development and 2D estimates below.

Development has been sufficient at depth to provide good information on the continuity of the vein geometry and


increased area of influence from the assayed intercept, that the 2D estimates have been mostly superseded by

3D estimation.

Small areas where the 2D estimates are used remain, and the methodology behind those estimates have been

retained in this report.

The approach taken for the estimation in 2D are drill intercepts across the full width of the veins are converted

into the additive variables thickness and metal, which are then estimated, and the grade then back-calculated

from the estimates. In some situations, the geometry of the vein is also constructed from estimation of elevation

and thickness, but more commonly, the geometry of the vein is constructed from 3D interpretation and wireframe

modelling, and the 2D method is simply used to derive estimated grades. In 2D estimation, any information

about the distribution of grades across the structure is lost during the calculation of metal accumulation, and

cannot be regained later.

Above the base of mining, the geometry of the veins is defined in greater detail from a large amount of

underground exposure and sampling. Because of the wide variety of different exposures sampled in

underground openings, the pseudo-drill holes constructed from linear channel sampling may or may not traverse

the full width of the vein structures. The 2D methods mentioned above rely on holes/channel lines extending

across the full width of the vein to ensure that the metal accumulation reflects the full vein width. Any hole that

does not must be excluded from estimation. At Asacha, this would result in a significant loss of information from

underground development sampling.

To meet the constraints outlined above, Seequent estimated Asacha in both 2D and 3D, and combined these

estimates. The 3D estimate was extended a reasonable distance below mine development to ensure that the

change in vein interpretation was represented. Outside of this boundary the grade was estimated in 2D (Figure

12). Because the input diamond drilling has not changed, the 2D estimate is based on the December 31st 2013

resource model.

Consequently, in the data preparation and analysis sections outlined below, Seequent present the drill data

prepared as both full width metal accumulations, and as regularised 1m composites.

Figure 12 Long section illustrating areas estimated by 2D versus 3D. Channel sampling from development in 2018 shown in orange.

9.1.2. Eastern Zone

The eastern zone has not changed since the previous estimate as part of the 2016 mineral resource estimate.


9.2. Data Coding

Some minor adjustments were made to the vein coding provided by TSG. This was necessary to maintain 3D

geometric continuity of the vein interpretations.

In particular, as development exposes the vein locations in the mine and channel sampling is collected, it is clear

that the locations of some diamond core samples are incorrect. Including these locations in vein interpretations

causes the vein to distort and presents an unrealistic interpretation. In these situations, the superseded diamond

core samples were excluded from estimation. A total of 3 diamond holes were excluded in 2018 from the

interpretations of QV 1 and QV2 and listed in the following table. A full list of exclusions are in Table 11.

Hole ID Year

A7414 1996

A7428 1996

A7437 1996

Table 9 Excluded drillholes from 2018 vein interpretation

9.3. Compositing

For the veins estimates that were updated (QV1, 2 and 4), compositing was carried out in Leapfrog Edge.

Otherwise, for the previous estimates, compositing was carried out in Datamine, Minesight and Isatis.

9.3.1. Full width vein composites

Full width vein composites were created, to enable estimation in 2D. Total down-hole length and length

weighted average Au and Ag grades are stored at the centroid of the vein intercept. A horizontal width is then

calculated based on the orientation of the drill hole with respect to the average orientation of the vein.

Channel samples that do not traverse the full width of the structure at a high angle are flagged and excluded.

From 2014, the 2D model was not updated. The additional channel samples do not help inform the area of the

model where 2D estimates are used.

9.3.2. Fixed length composites

Compositing in Leapfrog Edge followed the same principles that were used in previous estimates. A length of 1m

was used and was restricted to within the domained vein coding. Samples were forced to be included in one of

the composites by adjusting the composite length.

For the previous estimates in Minesight and Isatis, fixed length composites of 1m length were created honouring

domain coding. The option to ‘merge short intervals’ was used, meaning that composites can range in length

between 0.5 and 1.5m. Composites were dumped to ASCII CSV, and then loaded to Isatis software for statistical

analysis and estimation. ASCII composite files are listed in Table 10. Note that during import to Isatis X and Z

coordinates are swapped, placing the data into a sub-horizontal orientation. This is done to facilitate estimation

(see section 12.3.2).


Description Drill hole

File

Composite

File

Survey

File

QV 1m composites asa11.dat asa09.1m asa12.1m

QV full width vein composites

(2013 estimate) asa11.dat asa09.fqv asa12.fqv

QV full width composites E zone

(2013 estimate) asa11.eas asa09.eqv asa12.eqv

Table 10 Minesight composite files

9.4. Data Exclusions

TSG provided the following list of holes to exclude from estimation due to uncertainty about location or quality –

diamond holes are listed in Table 11, while excluded channels samples are listed in Appendix 1: Data Used.

As explained in Section 9.2, diamond holes now superseded by channel sampling have been excluded from the

2018 estimate (shaded blue in table below).


Hole ID Company Year Max depth Hole ID Company Year Max depth

14A TSG 2005 225 A7456 TVX 1996 98

18A TSG 2005 130 A7458 TVX 1996 102

25A-2 TSG 2005 152 A7460 TVX 1996 119

27A TSG 2005 95.4 A7468 TVX 1996 268

28A TSG 2005 120 A7469 TVX 1996 130

30A TSG 2005 102.1 C11 CKGRE 1988 355.3

31A TSG 2005 171.1 C12 CKGRE 1988 170.4

34A TSG 2005 315.2 C14 CKGRE 1988 254

A7403 TVX 1996 115.2 C178 CKGRE 1988 91.5

A74118 TVX 1996 89 C18 CKGRE 1988 180.1

A74120 TVX 1996 108 C191 CKGRE 1988 72.2

A74124 TVX 1996 182 C260 CKGRE 1988 93

A7441 TVX 1996 170 C261 CKGRE 1988 93

A7443 TVX 1996 59 C262 CKGRE 1988 145.3

A7444 TVX 1996 170 C265 CKGRE 1988 108

A7446 TVX 1996 71 C302 CKGRE 1988 112.4

A7447 TVX 1996 164 C318 CKGRE 1988 81.2

A7449 TVX 1996 83 C66 CKGRE 1988 182

C69 CKGRE 1988 202

A74122 TVX 1996 113 C24 CKGRE 1988 325

A74123 TVX 1996 110 C26 CKGRE 1988 140

A7459 TVX 1996 116 C269 CKGRE 1988 66.1

A7479 TVX 1996 92 C270 CKGRE 1988 81.6

C271 CKGRE 1988 44.8

C317 CKGRE 1988 90

C4 CKGRE 1988 73 C14B CKGRE 1988 163

C319 CKGRE 1988 135

A7436 TVX 1996 140 C193 CKGRE 1988 185

2TX TSG 2007 116 A7435 TVX 1996 140

A74110 TVX 1996 196 A7445 TVX 1996 170

A74111 TVX 1996 230 A7472 TVX 1996 245

A74115 TVX 1996 251 A7492 TVX 1996 173

A7431 TVX 1996 146 C305 TVX 1998 191

A7432 TVX 1996 125 C70 TVX 1998 228.3

A7433 TVX 1996 152 A7414 TVX 1996 129

A7428 TVX 1996 107 A7437 TVX 1996 143

Table 11 Diamond drillholes excluded from estimates. Cells shaded blue are new exclusions in 2018.


10. Exploratory Data Analysis

10.1. Basic Statistics

10.1.1. Full width accumulations

Basic statistics of the raw grade variables for full width QV vein composites are shown in Table 12, while the

statistics (including declustered mean values) of the calculated variables horizontal thickness and metal

accumulation are shown in Table 13. Note that some variables show very strong effects of clustering on mean

grades.

VARIABLE VEIN Count Min Max Mean SD CV

AU

10 493 0.6 233.2 20.6 24.7 1.20

20 786 0.05 225.6 21.1 25.2 1.19

30 151 0.25 90.7 12.2 11.9 0.98

60 38 1.2 209.1 25.8 36.3 1.41

70 12 2.59 105.6 23.3 30.1 1.29

80 11 0.49 69.4 20.2 19.7 0.97

AG

10 370 1.041 445.8 40.2 49.5 1.23

20 623 0.009 2366.3 39.5 112.2 2.84

30 127 0.094 687.3 21.8 61.2 2.81

60 5 5 58.0 29.7 17.3 0.58

70 12 2.1 165.2 30.5 42.9 1.41

80 11 5 119.1 38.7 34.0 0.88

LENGTH

(=down hole

length)

10 493 0.2 12.2 2.33 1.80 0.77

20 786 0.1 8.8 1.82 1.43 0.78

30 151 0.2 4.4 1.14 0.60 0.53

60 38 0.2 1.8 0.79 0.40 0.51

70 12 0.2 2.4 1.08 0.70 0.65

80 11 1 3.8 2.20 0.92 0.42

Table 12 Statistics of full width vein composites - raw grade variables.


VARIABLE Vein Count Min Max Mean SD CV Mean (decl) % diff

HTHCK

10 493 0.1 8.1 2.03 1.57 0.78 1.53 -25%

20 786 0 7.5 1.64 1.32 0.81 1.18 -28%

30 151 0.2 3.1 1.03 0.51 0.50 0.99 -4%

60 38 0.2 1.8 0.78 0.40 0.52 0.73 -6%

70 12 0.1 0.9 0.47 0.26 0.56 0.46 -3%

80 11 0.4 2.1 1.14 0.55 0.49 1.16 1%

AuM_cut

10 493 0.18 466.3 42.0 55.0 1.31 33.5 -20%

20 786 0 722.1 33.2 47.3 1.42 19.8 -40%

30 151 0.075 117.9 11.6 12.7 1.10 11.8 2%

60 38 0.958 97.5 16.7 20.5 1.23 15.9 -5%

70 12 0.29 32.6 10.3 11.3 1.10 9.5 -8%

80 11 0.196 69.4 27.4 26.6 0.97 29.9 9%

AgM_cut

10 370 0.73 891.6 84.5 107.4 1.27 81.5 -4%

20 623 0 1917 64.2 137.3 2.14 47.1 -27%

30 127 0.21 893.5 22.1 78.7 3.56 15.2 -31%

60 5 4.5 40.6 15.4 13.0 0.85 11.7 -24%

70 12 1.47 49.6 12.7 14.5 1.14 12.4 -3%

80 11 2 154.9 47.0 44.1 0.94 51.7 10%

Table 13 Statistics of full width vein accumulation composites.

The distributions of Au and Ag metal are typically strongly positively skewed. Histograms of AuM in veins 1 and 2

(QV 10 and 20) are shown in Figure 13 and Figure 14. Note that the mean metal content of AuM is significantly

higher than the anticipated cut-off grade (~4m*g/t AuM).

Note that, as explained in Section 9.3.1 above, samples from 2014 to 2018 channel sampling have not been

incorporated into 2D estimates.

Figure 13 Histogram of AuM in QV 10, above 190mRL on left, below 190mRL on right.


Figure 14 Histogram of AuM in QV 20, above 190mRL on left, below 190mRL on right.

10.1.2. Regular composites

Summary statistics of the 1m composites are given in Table 14. Note that these data are heavily dominated by

channel samples and only the statistics for QV 1, 2 and 4 have been updated. QV2A is a subsidiary vein of QV2

near the fault in the southern part of the deposit. It has been estimated separately to QV2 due its location, but it

is assumed to be a continuation of the vein, which will be confirmed with further sampling and development over

time.


Commodity Domain Count Min Max Mean Std. Dev

Au

QV=10 2 444 0.001 376.11 17.52 24.84

QV=20 4 109 0.001 392.13 19.78 28.62

QV=2A 19 0.2 17.2 7.21 4.61

QV=21 44 0.01 47.47 12.84 13.15

QV=25 36 0.49 96.63 26.3 29.38

QV=30 514 0.11 154.6 14.17 15.98

QV=31 6 2.83 76.87 24.78 24.82

QV=32 16 0.52 46.48 9.47 10.72

QV=40 57 0.001 232.85 23.26 45.34

QV=50 15 0.61 45.6 12.77 13.63

QV=60 41 1.2 209.08 24.45 35.33

Ag

QV=10 2 424 0.001 679.3 35.88 52.30

QV=20 4 082 0.001 1 429.34 31.38 63.24

QV=2A 19 1.76 27.31 14.52 7.68

QV=21 44 0 53.7 10.57 12.63

QV=25 36 5 185.76 55.84 46.69

QV=30 483 0 161.28 20.6 24.14

QV=31 6 1.97 44.62 19.67 16.3

QV=32 16 1 56.67 15.85 14.3

QV=40 57 0.001 626.29 105.78 113.71

QV=50 15 5.51 38.4 18.39 10.08

QV=60 5 5 58.04 29.73 17.3

Table 14 Summary statistics of 1m composites.

10.2. Data Transformations

Extreme grades (i.e. outliers) can result in over estimation if their influence is not carefully managed.

Ordinary Kriging is a smoothing algorithm (as indeed are all linear estimators such as inverse distance

weighting) – the estimated value is a weighted average of the sample grades falling within a search. In kriging,

the weights are calculated such as to minimise the estimation error, based on a defined model of spatial

continuity (the variogram). The variogram is generally derived from experimental variograms calculated from the

data – it can be thought of as a modelled summary statistic of the input data. In the derivation of the weights (via

solution of the kriging equations), the sample values themselves are not referenced, and the weights depend

only on the variogram model and the spatial locations of the samples.

This can create problems if the distribution is highly dispersed, particularly if it is highly skewed, or if there are

‘outlier’ values present that are not true members of the sample population.

The implicit assumption of the linear estimator OK is that the spatial continuity of grades (as represented by the

variogram model) is the same for all grade ranges (Vann et al., 2003). In many cases this is not a reasonable

assumption – for example if the presence of particularly high grades is due to presence of small scale geological

controls that cannot be resolved or modelled from the available data. Without restricting the influence of these

‘outlier’ grades in some way, there is a real risk of overstating the grades of blocks in the immediate vicinity of

high grade samples.


There are a few ways to manage the influence of extreme grades in linear estimation:

1. By excluding (cutting) samples from the sample population. In general, this is not applied, as all

information is simply lost at that point;

2. By applying a top cap (often incorrectly termed a top-cut), whereby the composites values above a

defined threshold are reduced to that threshold; and

3. By applying a restriction to the spatial influence of composites above some threshold – for example

by specifying that samples above n% only influence the grade estimates of blocks lying with x m of

the sample.

The decision of the threshold limits applied to the methods for managing extreme grades outlined above is an

expert decision. Identifying outliers in the skewed distributions that are typical for precious metals may not be

clear-cut.

In high grade gold deposits, there is also a risk that sampling under-represents the proportion of very high

grades in the tail of the distribution. In this situation, the mean grade of samples within a volume may (on

average) under-represent the true grade of that volume. The only remedy for this situation is to increase the

density of sampling.

Ultimately, the only way of assessing the competing influences of local over-estimation versus global

underestimation is by reconciliation against production.

Seequent’s preference in the Asacha estimate is to apply a top capping strategy that affects a small proportion of

the data. The value of the top-caps applied was decided based on visual examination of histograms to identify

the limits of coherent populations. The top-caps applied for this estimate are detailed in Table 15.

Top caps applied to full width vein estimates

Vein 10 20 30 40 50 60

AuM 200 250 60 N/A N/A 60

AgM 350 450 60 N/A N/A 25

Top caps applied to 1m composites

Vein 10 20 30/31/32 40 50 60

Au 200 300 65 150 - 100

Ag 400 700 200 270 - 40

Table 15 Top caps applied.

11. Variography

11.1. Full width vein accumulations

As explained previously (Section 9.1), data is transformed during import to Isatis geostatistical software by

swapping X and Z coordinates. This has the effect of placing a N-S striking sub-vertical vein into a sub-

horizontal orientation.

Variography on vein accumulations was based on diamond drill data only. Variograms were modelled for

QV1 and QV2, and the variograms for QV2 applied to the remaining veins (which contained insufficient

data to obtain reliable variograms). No declustering weights were applied during calculation of

experimental variograms – no consistent sense of clustering is present in the distribution of diamond drill

holes. The experimental and modelled variograms for Au and Ag accumulations (AuM and AgM

respectively) and horizontal thickness (HThick) are shown graphically in Figure 15 (QV 10) and Figure 16

(QV 20). All variogram parameters are tabulated in Table 16. Note that the variograms for Vein 1 were


deliberately fitted below the sill of data for metal accumulations, as it is considered that the form of the

variogram beyond the range fitted is due to non-stationarity. This was confirmed by examining subsets of

the data without pronounced drift.

Figure 15 Experimental and modelled variograms of AuM, AgM and Horizontal thickness for Vein 1 (QV 10).

Figure 16 Experimental and modelled variograms of AuM, AgM and Horizontal thickness for Vein 2 (QV=20).

Note that the 2D estimates were not updated in this estimate.


Variable Vein

Nu

gg

et

Nu

gg

et (

%)

Sil

l (s

ph

)

Ranges

Sil

l (s

ph

)

Ranges

Dip

Str

ike

Dip

Str

ike

AuM_Cut

10 260 17% 500 25 25 800 100 100

20,30,40,50,60 330 23% 485 18 18 610 50 50

70,80 660 33% 600 30 40 735 60 80

AgM_Cut

10 780 17% 1500 25 25 2400 100 100

20,30,40,50,60 1840 28% 2260 18 18 2440 50 50

70,80 0.5 50% 0.25 10 10 0.25 40 40

HThick

10 0.3 21% 0.4 20 20 0.7 50 120

20,30,40,50,60 0.3 21% 0.4 20 20 0.7 50 120

70,80 0.3 21% 0.4 20 20 0.7 50 50

Table 16 Full width vein accumulation variogram models.

11.2. Regular composite variograms

The variography for QV1, 2 and 4 were revisited with the inclusion of the new data.

11.2.1. Calculation Parameters

The variography was carried out in Leapfrog Edge using 1m composites of both drillholes and channel samples.

The variograms were orientated into the major direction of mineralisation. A 50% tolerance was applied to the

lags and no filtering of the grades was required.

11.2.2. Variogram Modelling

The following figures are the fitted models for QV1, in the north zone.


Figure 17 QV1 Variogram model, in the major, semi-major and minor directions.

Figure 18 QV2 variogram model, in the major, semi-major and minor directions.


An omni-directional variogram model was fitted to QV4, the minor direction was shortened to reflect the vein

width. The silver variograms were also updated, though the quality is lower, a model could be fitted. Table 17 is

a summary of the variogram models used.

Variogram Vein

Nu

gg

et

Sil

l (s

ph

)

Ranges (m)

Sil

l (s

ph

)

Ranges (m)

Dip

Str

ike

Acr

oss

Dip

Str

ike

Acr

oss

Au

10 0.3 0.42 5 4 4 0.28 40 40 8

20, 2A 0.4 0.34 7.2 10.6 3 0.26 40 90 5

21, 50 0.36 0.25 19 53 1.5 0.39 45 363 3.5

40 0.4 0.6 40 40 5 - - - -

30, 60, 25, 70, 80 0.33 0.25 14 16 1 0.42 50 80 5

Ag

10 0.1 0.38 20 30 3 0.52 80 110 5

20, 2A 0.17 0.4 7 8 3 0.43 80 160 6

40 0.4 0.6 40 40 5 - - - -

21, 30, 50, 60, 25, 70, 80 0.19 0.32 20 34 1 0.49 60 90 4.3

Table 17 Variogram models as proportions, Au and Ag variograms, 1m composites.

12. Estimation

In previous estimates there was a distinct break in the estimation methods of above and below the lowest

level of development. In 2018, the decision was made to estimate the majority of the deposit using 3D

estimation methods. As development was progressively getting deeper there was also a disparity in the

vein interpretation from 2012 from which the 2D estimates were based and the geometry with the new

data. This resulted in the influence of the updated model to be extended further down dip to align with the

continuity of the original 2D interpretation. For this update the influence was sufficiently down dip to

eliminate the majority of the 2D estimated. QV4 was the last remaining vein that had been wholly in 2D,

and was estimated in 3D for this update. Small parts of QV2 are still reported by 2D estimates as shown in

Figure 12.

In practice, this means that the upper part of QV1 and QV2, and the whole of QV21, QV3, QV31, QV32,

QV5 and QV6 were estimated in 3D, while the lower parts of QV1 and QV2 and the whole of QV4 were

estimated in 2D. Of the east veins QV7 and QV8 were estimated in 2D and QV25 in 3D. Within the main

zone, the full extent of the veins were modelled by both 2D and 3D estimation methods, then the models

combined with the 3D model adopted (where informed) above a boundary, and the 2D estimation

(migrated back into 3D) adopted elsewhere.

Note that only QV10, 20 and 40 were updated for the 3D 2017 model. QV30, 31, 32, 40 and 60 on the

Main Zone or QV 25 on the East Zone or the 2D estimates were not updated. The methodology for the 3D

estimate below refers to the one used for the 2018 update, unless stated otherwise, whilst the 2D

methodology refers to the one applied in 2013.

The process of resource estimation at Asacha can be summarised as follows:

▪ Interpretation and construction of wireframe models of veins based on vein coding and mapping;

▪ Refinement of drill hole vein coding to flag intercepts that traverse the full width of the vein (or not);

▪ Compositing of coded drill holes to both 1m interval, and to full vein width (vein composites).

Calculate ‘horizontal width’ of vein composites and Au and Ag metal accumulations. Export of 1m and

vein composites to ASCII;

▪ Creation of 3D block model with sub-celling in Leapfrog Edge.


For the 2D estimates using vein composites:

▪ Reduction of vein composites to 2D by dropping Z coordinate;

▪ Calculate declustering weights in 2D for vein composites;

▪ Apply top-cap as required to Au and Ag metal accumulations;

▪ Variography on 2D vein composites: Au metal, Ag metal and horizontal thickness (for veins 10 and

20);

▪ Estimate Au and Ag metal accumulations and horizontal thickness using Ordinary Kriging;

▪ Back-calculate Au and Ag grades;

▪ Validate metal accumulation, thickness and grade estimates;

▪ Migrate grade estimates from 2D grid back to 3D sub-block centroids; and

▪ Export sub-block centroids with estimated grade values to ASCII.

For the 3D estimates:

▪ Variography on 1m composites (Au and Ag);

▪ Apply top-cuts as required to 1m composites;

▪ Estimate Au and Ag grades using Ordinary Kriging into 3D block model with locally varying anisotropy

▪ Validate Au and Ag grade estimates;

Combine 2D and 3D estimates:

▪ Above the base of mine development use the 5x5m parent block model estimated in 3D, and below

use the 10x20m block locations estimated in 2D estimation;

▪ Classify according to JORC 2012 guidelines; and

▪ Report Mineral Resource estimates.

12.2. Block Size

The block sizes used were the same as for previous estimates. The following explanation outlines the

determination of the block sizes for both the 3D and 2D estimation at Asacha.

Choice of block size is dictated by many factors including:

▪ The purpose of the estimate;

▪ The anticipated selectivity in mining;

▪ The location and spacing of data;

▪ The distribution of grades at sample scale, and the predicted distribution of grades at block scale;

▪ The spatial continuity of grades (as embodied by the variogram);

▪ The mean grade of the deposit with respect to cut-off grade; and

▪ The acceptable degree of estimation error, globally and locally.

At Asacha, the purpose of the model is to estimate Mineral Resources and for use as input to mine planning.

The scale of selectivity during mining is dictated by the spacing of the most detailed final sampling,

approximately 3m along strike and 5m vertically where raises are employed. Final selectivity is something like

5x5m in the plane of the vein.

The mean grade of the deposit is significantly higher than the anticipated cut-off grade (~4m*g/t Au). While the

distribution is highly skewed, around 20% of vein intercepts (from all modelled veins) are less than 4m*g/t. Given

the de-skewing effect of increasing support volume, it is a given that the proportion of block estimates below cut-

off will be significantly lower than 20%.

Seequent assessed the impact of estimation cell size on the quality of block estimates in 2D. To do this, a series

of grids of different sizes were created, and AuM grades were estimated into those grids, storing a variety of

kriging output statistics. The analysis was restricted to just the lower half of vein 10 (below 190mRL), as this

constitutes most the resource to be estimated in 2D from diamond drilling. The averages of key output statistics


were then compared against the estimation block size. These clearly show that there is very little difference in

the tonnage/grade curve of estimates for different block sizes, and little change in the average of estimation

quality metrics with change in block size.

Figure 19 Comparison of estimated tonnage versus cut-off for different block sizes with a theoretical grade tonnage curve for 10x20m blocks (QV=10, AuM).

Based on the above assessment, Seequent elected to estimate resources from resource drilling based on blocks

of 10m RL by 20m along strike.

In the case of 3D estimation, the relationship between the dimensions of the block and the geometry of the vein

is also obviously important. There are well known dangers in distorting the global tonnage/grade distribution from

using blocks that are too small, but equally, estimation quality deteriorates rapidly if block size is too large and

there are too many blocks with only a small proportion of the block inside the vein.

After some experimentation, a 3D block size of 5m vertical by 5m along strike by 4m across strike was adopted,

with sub-blocks used to capture vein geometry at a reasonable level of resolution.

For the 3D estimation of QV 50 where the drill hole data is wider spaced at 50m along strike, the block size

adopted was larger at 4 x 20 x 10 m and then sub-celled to honour the vein geometry.

12.3. Model definition and coding

Volume models were constructed in Leapfrog Edge (Minesight was used previously for the historic veins that

have not been updated namely QV 30, 31, 60, 70 and 80). The volume model was constructed at the smaller cell

size of 4mE x 5mN x 5mRL.


12.3.1. Block Model definition

The block model definition for the main veins are tabled below:

Field Easting Northing RL

Model origin 40 550m 53 900m -100m

Block dimensions 4m 5m 5m

Number of cells 75 448 90

Minimum sub-cell size 0.5m 1.25m 0.625m

Table 18 Model origin and dimensions used to construct volume model for Main Zones QV 10, 20 and 40.

12.3.2. Translation from 3D to 2D

After model coding in Minesight the sub-block centroids were exported to ASCII comma delimited file format,

then imported to Isatis software for grade estimation.

In Isatis software, the simplest plane for 2D analysis and estimation is the XY (i.e. horizontal) plane. Data in 3D

can be transformed to 2D simply by dropping the Z coordinate, and can be just as simply transformed back by

picking the coordinate up again.

At Asacha, the veins are oriented sub-vertically and strike N-S. The logical plane for considering the deposit in

2D is the YZ plane (i.e. the NS long section view). In order to transform Asacha data into the Isatis XY plane for

analysis and 2D estimation, the Z and X coordinates of blocks and data were simply swapped on import. This

has the effect of transforming a sub-vertical orientation into a sub-horizontal one, and is illustrated in Figure 20.

After importation, composites are converted to 2D by dropping the Z coordinate.

For 3D estimation in Isatis, a 3D block model is constructed in transformed space to match the parent cell

locations. The origins and dimensions of this model are given in Table 19.

Easting Northing RL

Origin -97.50m 53,902.50m 40,552.00m

Dimension 5.00m 5.00m 4.00m

Number of cells 90 448 75

Table 19 Origin and dimension of 3D estimation model in transformed space.

For 2D estimation, a 2D grid file (Table 20) is constructed, and all cells that contain at least one vein sub-cell

centroid vertically above are flagged with the code of that vein.

Easting Northing

Origin -95m 53,910m

Dimension 10.00m 20.00m

Number of cells 45 112

Table 20 Origin and dimension of 2D estimation model in transformed space.


Figure 20 Illustration of coordinate transform applied prior to estimation. Here QV1 is shown in original coordinates on left, transformed on right.

12.4. 2D Estimation

A 2D estimation methodology was adopted for estimation of resources in the area informed only by diamond

drilling sampling, below the base of mine development. The full extent of all veins was estimated, then merged

with 3D estimates. As of the 2018 estimate only part of vein 20 on the Main Zone and 70 and 80 on the East

Zone are from 2D estimated.

12.4.1. Main Zone Veins

Veins in Main Zone (QV=10, 20, 30, 40, 60) and East Zone (70, 80) were estimated by independent ordinary

kriging of metal accumulations (AuM, AgM), kriging of horizontal thickness and back calculation of Au and Ag.

Quantitative kriging neighbourhood analysis (‘QKNA’ Vann, 2003), was used to arrive at an optimal set of

estimation parameters. In this approach, preliminary choices are made regarding block size and search

anisotropy, then size of the search neighbourhood is iteratively increased by increasing the optimum (or

maximum) number of samples accepted into the neighbourhood.

An example of the results of this process of iterative testing is presented in Figure 21. Three different sectorial

searching strategies are presented – no splitting, 2 sectors, and 4 sectors, and approximately equivalent

No

rth

ing

Elev

atio

n (

real

)

Elev

atio

n (

inve

rted

)

Easting (real) Easting (inverted)


searches for these strategies are circled. Within each of these search strategies as the maximum number

accepted increases, the metrics of slope of regression and kriging standard deviation improve at a tapering rate.

Simultaneously, as the search increases the average sum of positive weights1 and the maximum sum of positive

weights also increase. In addition, the estimate becomes more smoothed. The neighbourhood is chosen to

balance these competing demands. In the case of underground veins, the global grade tonnage curve is of

secondary importance to local accuracy.

Figure 21 Example of kriging neighbourhood analysis carried out for estimation of QV=10.

1 In order to maintain the condition that the sum of the weights equals one, the sum of positive weights must be

offset by the sum of negative weights. Having negative weights that are too large leads to the risk of negative grade

estimates. High negative weights are a sign that too many samples are being used.

23

24

25

26

27

28

29

30

31

32

33

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

1.4

Kri

gin

g st

and

ard

de

viat

ion

Slo

pe

of

regr

ess

ion

, su

m o

f p

osi

tive

we

igh

ts, w

eig

th o

f m

ean

(SK

)

AuM estimate QV=10

Slope

Max SumPos

Mean SumPos

Wt Mean

Kr SD

4 sectors4/sector2 sectors

8/sector

1 sectors16/sector


The search parameters used for 2D estimation below the 3D boundary are tabulated below.

Vein Search

# sectors Min/sector Max/Sector Dip Strike

10 100 200 4 4 4

20 100 200 4 4 4

30 75 150 4 4 4

40 100 200 1 4 14

60 75 150 4 4 4

70 100 200 1 4 12

80 100 200 1 4 12

Table 21 Search parameters used for vein estimation in 2D.

12.5. 3D Estimation

Estimation in 3D was adopted in order that the large number of channel samples that do not traverse the full

width of the vein could still be used. Estimation was based on regular 1m composites.

12.5.1. Variable Orientation

To account for local fluctuations in vein orientation, the local search volume and variogram model was orientated

locally using Variable Orientation in Leapfrog Edge. The angles are determined from the orientation of the

mineralised wireframes and the plunge direction from the major direction of the variogram model, which are

interpolated onto a block model.

QKNA was used to help define estimation parameters. Seequent applied iterative tests across the domain to

determine the search parameters, using the kriging estimation attributes and checking in 3D to validate the

choices.

Final search parameters are tabulated below in Table 22.

Vein Dip Strike Across Min.

samples

Max

samples

2nd search

volume

multiplier

Min.

samples

Max

samples

Max

samples

per

drillhole

10 37 28 6 7 18 2 7 18 3

20, 2A 40 20 5 7 18 2 7 18 3

21 75 75 15 4 24 N/A

25 100 200 30 4 24 2 2 24

30 90 90 15 4 24 N/A

40 40 30 10 7 18 2 3 18 4

50 100 250 20 4 24 N/A

60 75 75 20 4 24 N/A

Table 22 3D estimation search parameters.


12.6. Estimate Validation

The general purpose of model validation is twofold:

1. To detect errors in implementation, for example:

▪ Whether all relevant blocks have been filled;

▪ Whether rotation parameters have been correctly applied;

▪ Whether the selections of data and blocks are as intended; and

2. To ascertain whether the estimates are geologically and geostatistically sound.

12.6.2. Implementation

The most reliable method of checking implementation is by visual checking in 3D. The eye is very good at

detecting any blocks missed in estimation or unusual patterns. Views of all block estimates were inspected in

Leapfrog Edge.

12.6.3. Statistical Checks – 2D

Checks on statistical validity begin with global checks on grade reproduction. Input vein composite grades of QV

estimates were compared to average block grades per domain to ensure that no gross errors were present

(Table 23).

Note that reproduction of the estimated additive variables HTHCK (horizontal thickness), AuM_cut and AgM_cut

is close, generally within +/- 3%, but that reproduction of the back-calculated variables Au and Ag is less close.

Large differences, are generally only found in veins with low numbers of informing holes. An exception to this is

QV=20, where both Au and Ag estimates are around 12% higher than the declustered mean of data. However,

when estimates for QV=20 are compared to the length weighted declustered intercept grades, the match is much

closer (~-5%).

The main purpose of these checks is to ensure that no gross errors have been made in implementation of

estimates.

An alternative check of the performance of the estimate is to plot average grades of input data and output block

estimates in moving window slices (swath plots). This has the advantage of partially accounting for clustering

and illustrating the degree of smoothing present in estimates when compared to data. However, care must be

taken in creating and interpreting swath plots. While they perform a crude declustering this is only one

dimensional. If significant clustering is present in other directions, this may appear to indicate a bias is present in

estimates, when in reality the bias is due to the clustering effect.

As an example, the reproduction of horizontal thickness (Figure 22), Au accumulation (Figure 23) and back-

calculated Au (Figure 24) is shown in 20m northing slices for QV 10 below 190mRL (where estimate is informed

by diamond data only).


Var

Declustered Vein Composites 10x20m 2D block estimates

% diff

Vein Count Min Max Decl

Mean

Std.

Dev.

Count Min Max Mean Std.

Dev.

HT

HC

K

10 492 0.1 8.1 1.53 1.11 738 0.58 6.25 1.53 0.75 0.00%

20 784 0 7.5 1.18 1.01 883 0.24 6.19 1.18 0.71 0.00%

30 151 0.2 3.1 0.99 0.45 126 0.52 1.86 0.99 0.22 0.00%

40 12 0.4 1.6 0.77 0.37 76 0.50 1.22 0.77 0.17 0.00%

60 38 0.2 1.8 0.73 0.39 21 0.28 1.20 0.73 0.27 0.00%

70 18 0.6 2.1 1.19 0.43 12 0.98 1.39 1.19 0.1 0.30%

80 12 0.1 0.9 0.46 0.26 211 0.33 0.68 0.46 0.05 0.44%

AuM

_cut

10 492 0.2 200 33.5 42.9 738 2.8 152.3 33.5 27.7 0.00%

20 784 0.0 250 19.8 32.3 883 0.6 156.2 19.8 19.2 0.00%

30 151 0.1 60 11.8 12.6 126 4.7 37.7 11.8 5.8 0.00%

40 12 1.4 116 20.6 26.7 76 11.6 43.0 20.6 6.4 0.00%

60 38 1.0 60 15.9 16.0 21 3.7 33.5 15.9 9.7 0.00%

70 18 1.9 278 70.1 88.8 12 37.4 98 70.1 16.6 0.06%

80 12 0.3 33 9.5 10.6 211 3.9 21 9.5 3.5 0.32%

AgM

_cut

10 369 0.7 350 81.5 84.6 738 6.7 291.1 81.5 51.7 0.00%

20 621 0.0 450 47.1 80.4 883 1.3 266.1 47.1 37.8 0.00%

30 127 0.2 60 15.2 14.2 126 5.9 37.0 15.2 6.5 0.00%

40 12 15.7 161 76.1 44.1 76 46.1 106.4 76.1 11.7 0.00%

60 5 4.5 25 11.7 7.1 21 7.2 16.7 11.7 2.2 0.00%

70 18 2.5 108 36.7 40.3 12 24.6 47 36.7 6 -0.01%

80 12 1.5 50 12.4 14.5 211 3 23 12.4 4.7 0.25%

AU

10 492 0.6 161 20.5 24.5 738 2.6 94.0 21.1 13.3 2.65%

20 783 0.1 215 14.6 21.1 883 0.9 75.5 16.3 10.5 12.13%

30 151 0.3 60 12.3 11.5 126 4.1 32.5 12.0 5.2 -3.09%

40 12 2.8 233 27.1 44.7 76 16.2 77.2 27.3 9.6 0.62%

60 38 1.2 150 25.1 28.6 21 3.6 52.0 24.8 16.0 -0.99%

70 18 2.7 174 44.6 54.0 12 38 79 58.9 12.6 32.07%

80 12 2.6 106 22.5 30.1 211 8.1 50 20.7 7.6 -8.14%

AG

10 369 1.0 269 54.0 50.1 738 8.7 191.3 56.3 32.3 4.43%

20 620 0.0 1500 39.6 90.7 883 2.4 256.5 45.1 36.7 13.72%

30 127 0.1 85 15.9 14.9 126 5.8 53.3 15.9 7.7 -0.02%

40 12 22.4 276 109.6 62.4 76 60.8 172.0 102.3 21.3 -6.66%

60 5 5.0 36 23.9 12.0 21 7.0 45.2 19.2 9.6 -19.67%

70 18 3.6 78 23.7 24.3 12 25 38 30.9 4 30.34%

80 12 2.1 165 31.0 45.0 211 6.3 55 27.1 10.4 -12.49%

Table 23 QV comparison of declustered input grades and estimated output grades by vein.


Figure 22 Swath plot, QV 10 by 20m elevation slices, horizontal thickness.

Figure 23 Swath plot, QV 10 by 20m elevation slices, Au accumulation.

0

2

4

6

8

10

12

14

16

18

20

0

1

2

3

4

5

64

0 <

= V

< 4

1

42

<=

V <

43

44

<=

V <

45

46

<=

V <

47

48

<=

V <

49

50

<=

V <

51

52

<=

V <

53

54

<=

V <

55

56

<=

V <

57

58

<=

V <

59

60

<= V

< 6

1

62

<=

V <

63

64

<=

V <

65

66

<=

V <

67

68

<= V

< 6

9

70

<=

V <

71

72

<=

V <

73

74

<=

V <

75

76

<= V

< 7

7

78

<=

V <

79

80

<=

V <

81

82

<=

V <

83

84

<=

V <

85

86

<=

V <

87

88

<=

V <

89

90

<=

V <

91

Co

un

t (d

ata/

blo

cks)

HTH

CK

Swath Plot: Vein 10 below 190mRL : HTHCK by 20m Northing

# data

# blocks

Data

Estimate

0

2

4

6

8

10

12

14

16

18

20

0

20

40

60

80

100

120

140

160

40

<=

V <

41

42

<=

V <

43

44

<=

V <

45

46

<=

V <

47

48

<=

V <

49

50

<=

V <

51

52

<=

V <

53

54

<=

V <

55

56

<=

V <

57

58

<=

V <

59

60

<=

V <

61

62

<=

V <

63

64

<=

V <

65

66

<=

V <

67

68

<=

V <

69

70

<=

V <

71

72

<=

V <

73

74

<=

V <

75

76

<=

V <

77

78

<=

V <

79

80

<=

V <

81

82

<=

V <

83

84

<=

V <

85

86

<=

V <

87

88

<=

V <

89

90

<=

V <

91

Co

un

t (d

ata/

blo

cks)

Au

M_c

ut

Swath Plot: Vein 10 below 190mRL : AuM_cut by 20m Northing

# data

# blocks

Data

Estimate


Figure 24 Swath plot, QV 10 by 20m elevation slices, back calculated Au.

12.6.4. Statistical Checks – 3D

The model validation involves visual checks, swatch plots and statistical checks between the drillholes and

block estimate grades.

The following swath plots are taken along the northing for each of the updated veins QV10 and 20 for both

Au and Ag.

0

2

4

6

8

10

12

14

16

18

20

0

10

20

30

40

50

60

70

80

904

0 <

= V

< 4

1

42

<=

V <

43

44

<=

V <

45

46

<=

V <

47

48

<=

V <

49

50

<=

V <

51

52

<=

V <

53

54

<=

V <

55

56

<=

V <

57

58

<=

V <

59

60

<=

V <

61

62

<=

V <

63

64

<=

V <

65

66

<=

V <

67

68

<=

V <

69

70

<=

V <

71

72

<=

V <

73

74

<=

V <

75

76

<=

V <

77

78

<=

V <

79

80

<=

V <

81

82

<=

V <

83

84

<=

V <

85

86

<=

V <

87

88

<=

V <

89

90

<=

V <

91

Co

un

t (d

ata/

blo

cks)

Au

Swath Plot: Vein 10 below 190mRL : Au by 20m Northing

# data

# blocks

Data

Estimate


Figure 25 Swath plot for QV10 in 10m increments, Au.

Figure 26 Swath plot for QV10 in 10m increments, Ag.


Figure 27 Swath plot for QV20 in 10m increments, Au.

Figure 28 Swath plot for QV20 in 10m increments, Ag.


The comparison of the declustered drill hole grades to the block grades in Table 24, indicates that for Au on the

two main veins correlate very well. The smaller domains indicate that they are under-estimated but generally

<10%. The comparison for Ag indicates that the block estimates over-estimate just less than 10% on all

domains.

Variable Vein

Drillholes Blocks

% diff No.

Samples Min Max

Declust.

mean Volume Min Max Mean

Au

10 - N 2 180 0.001 376.11 16.49 134 724 0.80 90.08 16.60 1%

10 - S 264 0.001 259.40 24.55 68 164 0.00 102.48 22.53 -8%

20 4098 0.001 392.13 17.41 221 673 0.44 137.36 17.59 1%

20A 19 0.2 17.2 6.4 5 318 3.05 9.52 6.30 -2%

40 57 0.001 232.85 22.8 6 038 4.08 74.10 21.83 -4%

Ag

10 - N 2160 0.001 588.89 37.02 134 724 0.01 261.40 40.36 9%

10 - S 264 0.001 679.29 57.26 68 164 5.49 188.74 62.64 9%

20 4071 0.001 1 429.34 29.44 221 673 0.01 360.75 32.21 9%

20A 19 1.76 27.31 13.82 5 318 7.75 95.60 14.89 8%

40 57 0.001 626.29 90.01 6 038 30.33 212.45 95.02 6%

Table 24 Declustered top capped 1m composite means versus kriged block means for updated veins.

12.7. Model post processing

The 10x20m 2D estimates were imported into Datamine to select the blocks below the updated 3D-2D

estimation boundary for reporting.

Vein densities were assigned based on the bulk density value of 2.48 t/m3 provided by TSG (see Section 7).


12.8. Classification

Resources were classified according to the guidelines of the JORC Code (2012). Classification took account of

data quality, confidence in geological interpretation and confidence in block estimations. Some of these aspects

are necessarily subjective.

Measured Category

Classification of resources as Measured was restricted to areas that have been developed, with a maximum

projection distance of 12m above or below development. Slope of regression on block estimates is greater than

~0.90. Only veins QV 10, 20, 21, 30 and 40 have any resource classified as Measured. Development during

2018 allowed the Measured to be extended along the 100mRL for QV10, 20 and 40.

Indicated Category

Resources were classified as Indicated when within 25m of a diamond drill hole, or <=25m above or below

development. This equates to a slope of regression on accumulation estimates of >~0.65. Part of veins QV 10,

20, 21 and 30, and the whole of veins QV 40 and 70 were given a classification of Indicated. Remnant portions

of QV 60 were removed from remaining resource as there is no realistic prospect of recovering this material,

which is affected by rockfall from mining of the adjacent QV 10.

Inferred Category

In veins QV 10, 20 and 30, any part of the interpreted vein limits not classified as Measured or Indicated was

given a classification of Inferred. In addition, the whole of veins QV 50, 80 or 25 were classified as Inferred.

There is insufficient drilling in these veins to permit a higher level of classification to be applied.

The vein models were classified by digitising volumes in long section. The figures below show the classification

for veins QV 10 and 20.

Figure 29 Classification applied to QV 10

It can be seen in QV 10 that mine workings will soon be advancing into Inferred material below the 100mRL

level. It is highly recommended that TSG consider advance drilling in these areas, if it is in the mine plan to go

deeper.


Figure 30 Classification applied to QV20

The following table summarises the classification of the veins, where they are informed by drill hole data only.

Vein QV Classification

40 Indicated

50 Inferred

70 Indicated

80 Inferred

25 Inferred

Table 25 Classification applied to veins informed by diamond drilling only.

12.9. Mining depletion

Mining depletion was taken care of during initial model coding. TSG provided Seequent with a long section view

(in dxf format) of the on-structure development, cross cuts and stoping as at 31st December 2018. Seequent

converted this into closed polygon shapes and used this to create ‘cookie cut’ volumes to code the model. At the

time of reporting all development and stoping was restricted to veins 1, 2 and 4 (QV 10, 20 and 40).

Table 26 below provides an approximate comparison between mined tonnage, grade and metal and the in-situ

undiluted resource. Note that this cannot be an accurate comparison, because the stoping volume includes

associated development, which may not have been mined during the same year that the stoping was recovered.

Over the complete mining period the comparison will be valid.

For the previous three years the model had been under-predicting the contained metal, however during 2018 the

model over predicted by 7%. The ore dilution remains high but has improved to 58%, which is 5% lower than

2017. During 2019, TSG have committed to improve this figure. Generally the dilution is very high because of

poor ground conditions historically in the upper levels and more recently in the southern end of the mine. The

ground conditions in the southern end of the deposit are far poorer than the north where the rock is more

competent and the vein contacts are clear and well defined. In the south, the veins and host rocks are more

faulted and are characterised by an abundance of clay minerals. The softer faulted material is harder to control

when mining and is accepted that dilution can be up to 50-70%.


Model Predicted (undiluted) Mine Production

Mining Depletion

Year Tonnes Au (g/t)

Ag

(g/t) Au (oz.) Ag (oz.)

Tonnes

Mined

Tonnes

Milled

Au

(g/t)

Ag

(g/t) Au (oz.) Ag (oz.)

% dil

(Au)

% ore

loss

2011-2013 173 464 19.6 33.4 109 259 186 159 347 756 321 677 6.69 11.5 74 750 128 667 66% -46%

2014 82 202 18.9 29.9 49 849 79 094 198 387 156 561 6.65 11.7 42 436 74 341 65% -17%

2015 60 877 16.6 24.3 32 533 47 561 177 555 161 242 7.65 12.3 39 658 63 660 54% 18%

2016 49 621 20.0 32.0 31 886 51 011 179 258 162 892 7.23 12.7 37 864 66 564 64% 16%

2017 55 817 17.6 31.4 31 508 56 326 198 349 184 433 6.56 12.3 38 899 72 757 63% 19%

2018 86 032 17.4 55.7 48 154 154 087 173 596 189 695 7.35 22.8 44 826 139 114 58% -7%

Total Depletion due

to mining (LOM) 508 013 18.6 35.2 303 189 574 239 1 274 900 1 176 500 6.79 13.2 278 370 540 317 63% -9%

Table 26 Comparison of model prediction to mill production.

12.10. Reasonable prospects of eventual economic extraction

Based on the presence of the operating mine and mill, existing mine economics, the potential for incremental development access to deeper and more

distal parts of the ore body, and the potential for further exploration success, it is considered that all of the vein resources defined at Asacha have a

reasonable prospect of eventual economic extraction.


13. Resource Tabulations

Mineral resource estimates for Asacha are reported above an Au cut-off grade of 4g/t. A minimum mining

width is also nominally applied but, in practice, virtually all blocks are above 4m*g/t, so the cut-off has

been applied directly on gold grade. No allowance is made for silver in defining cut-off. Silver and gold

grades are very closely correlated.

The Mineral Resource estimate for Asacha as of December 31st 2018 is shown in Table 27 below.

Asacha Mineral Resource Estimate at December 31st 2018

Reported above 4 g/t Au cut-off grade

Classification Zone Kt Au (g/t) Ag (g/t) Au (Koz) Ag (Koz)

Measured Main 199 16 37 103 240

Indicated Main 295 19 54 182 515

Indicated East 3 56 30 6 3

Total M&I 498 18 47 290 758

Inferred Main 90 13 34 39 98

Inferred East 269 26 53 224 458

Total Inferred 360 23 48 263 557

Notes: Resources ae reported after mining depletion.

Tonnage and grades have been rounded to reflect an appropriate level of precision.

Rounding may mean that columns do not sum exactly.

Table 27 Asacha Mineral Resource Estimate - at 31st December 2018.

13.1. Sources of change between 2017 and 2018 resource estimates

The total (Measured + Indicated + Inferred) declared resource has decreased from 651 Koz Au and

1 638 Koz Ag as reported at 31st December 2017 to 553 Koz Au and 1 314 Koz Ag as at 31st December 2018.

The mining depletion accounts for 48 Koz Au and 154 Koz Ag from the model. The remaining adjustment is due

to substantial development on the 100mRL which has led to a re-interpretation of a large volume of the main

veins QV1 and QV2 that was previously estimated in 2013. The addition of the new data allowed for a 3D

estimate for all but small areas of QV2 which remain as a 2D estimate.

The following table gives a breakdown of adjustments:

Description Au (Koz) Ag (Koz)


Mining depletion -48 -154

Difference due to model geometry and grade estimation changes

for new channel data -48 -169


Table 28 Reconciliation from 31st December 2017 to 31st December 2018


14. Exploration Target Material

Exploration target material is a statement or estimate of the exploration potential of a mineral deposit which has

not sufficiently been drilled to enable an Inferred or greater confidence level and cannot be included in the

Mineral Resource inventory.

There are no additional Exploration Targets for the year ending 2018. QV18 was identified during 2017 and for

further descriptions refer to the previous Resource report (Nicholls, 2018). TSG plan to drill this target again in

2019. Drill holes have been planned the test the lateral extents, two each for the northern and southern extents.

Exploration Target material for QV 18 is reported to be in the range of 33 to 270 Kt at a grade of between 3.5

and 5 g/t.

The potential quantity and grade of the Exploration Target material remains conceptual in nature and may or

may not be realised in the future.

15. Audits or Reviews of Mineral Resource Estimates

This model update has been reviewed by Mike Stewart, who is employed by Seequent. This model has not been

reviewed or audited externally.

16. Conclusions and Recommendations

Seequent completed an update of the Mineral Resource estimate for Asacha deposit in Kamchatka, Russia. This

was based on data and mining depletions as at 31st December 2018.

Based on the site visits conducted by Seequent, reviews of available reports, data received and work completed

to date on the project, Seequent make the following conclusions:

▪ The Main Zone veins QV 10, 20 and 40 were updated for the new channel data. The veins are locally

updated. A fault was encountered in the northern end of the deposit affecting QV 10, which displaced

the vein 20m west. Overall there was no major re-interpretation of the veins.

▪ As there has been no new resource drilling, the classification of the deposit has entailed upgrading to

Measured resources around new development.

▪ Currently laboratory QAQC is carried out internally by the laboratory. Seequent continue to re-iterate

that a full QAQC programme should be implemented by the geology department, with insertion of

blanks, duplicates and CRM’s on a routine basis for both the exploration and grade control sampling.

This is especially important as all samples from exploration drilling, grade control, plant samples, grab

samples and bullion are assayed at the laboratory. TSG have shown commitment to initiate a

thorough QAQC programme to accompany the exploration drilling programme planned for 2019.

▪ Due to the differing nature of the host rock and veins in the southern end of the deposit, compared to

the north, it is recommended that check density measurements are made. Currently a bulk density is

applied determined from core samples taken in the 1990’s on what is most likely highly competent

rock. The ground conditions in the south are of poorer quality due to extensive faulting and argillic

alteration.

▪ As has been recommended previously, it would be in TSG’s interest to produce a host rock 3D model

to aid the geological interpretation. TSG have agreed in principle to the construction of a 3D

geological model. At this time, they are considering a programme of re-logging historical core and

they have agreed to continue to provide the geological data as well as vein intercepts with all new

verified core in order to create a 3D model.


17. Signature Page

Carrie Nicholls

Senior Evaluation Geologist

MAusIMM no: 222584


18. References

Abzalov, M. 2008. Quality Control of Assay Data: A review of Procedures for Measuring and Monitoring

Precision and Accuracy. Exploration and Mining Geology Vol. 17 Nos. 3-4, pp 131-144.

AMC, 2001. Trans-Siberian Gold Ltd, Asachinskoye Gold Project Feasibility Study Interim Report. AMC

Report 401004, dated Aug 2001.

AMEC, 2003. Trans-Siberian Gold Ltd, Asachinskoye Resource Estimate 2002. Report by AMEC dated

January 2003

Hatch, 2006. Trans-Siberian Gold – Asacha Project Technical Review Report. Internal report prepared for

Standard Bank PLC. Dated 1st Sep 2006. Filename: Hatch_60915 PD Final Report Oct2006.pdf

Jackson, S. 2011. Notes on QG Asacha estimate. Memorandum dated 3rd Oct 2011.

JORC, 2012. Joint Ore Reserves Committee of The Australasian Institute of Mining and Metallurgy,

Australian Institute of Geoscientists and Minerals Council of Australia (JORC) Effective December 2012

Mineral Resources and Ore Reserves Reporting of Exploration Results, ~ The JORC Code ~ 2012

Edition.

Nicholls, C. 2018. Asacha Mineral Resource Estimate- Dec 31st 2017 Confidential Seequent Client Report

dated May 2018.

Nicholls, C. 2017. Asacha Mineral Resource Estimate- Dec 31st 2016 Confidential AGL Client Report

dated June 2017.

Nicholls, C. 2017. Review of Asacha Gold Mine - Confidential AGL Client Report dated November 2017.

O’Brien, M. 2006. Asacha Mineral Resource – June 2006. Internal memorandum.

Stanley, C, and Lawie, D. 2007. Average Relative Error in Geochemical Determinations: Clarification,

Calculation and a Plea for Consistency. Exploration and Mining Geology Vol 16. Nos. 3-4, pp 267-275.

Stewart, M. 2013. Asacha Mineral Resource Estimate- Dec 31st 2012. Confidential QG Client Report

dated July 2013.

Stewart, M. 2014. Asacha Mineral Resource Estimate- Dec 31st 2013 Confidential QG Client Report

dated July 2014.


dated July 2015.


dated May 2016.

Vann, J., Jackson, S and Bertoli, O., 2003. Quantitative Kriging Neighbourhood Analysis for the Mining

Geologist – A Description of the Method with Worked Case Examples. In: Proceedings Fifth International

Mining Geology Conference, pp 215-223 (The Australasian Institute of Mining and Metallurgy: Melbourne).


19. Appendices

Appendix 1: Data Used

1. Included diamond drill holes

100A 101A 102A 103A 106A 107A 108A 109A 10A 110A 12A 132A 132A-1

137A 138A 142A 143A 143A-1 144A 144A-1 15A 16A 17A 19A 1A 1TX

21A 22A 23A 24A 25A-1 29A 2A 2TX 32A 33A 35A 36A 37A

38A 39A 39A-1 39A-2 3A 40A 41A 42A 43A 44A 46A 4A 542A

543A 544A 545A 548A 549A 54A 550A 551A 553A 554A 555A 556A 557A

55A 560A 561A 56A 573A 57A 58A 58A-1 591A 592A 593A 594A 594A-1

595A 596A 597A 598A 599A 59A 5A 600A 601A 602A 605A 605A-1 606A

60A 61A 62A 6A 71A 72A 73A 74A 75A-1 77A 78A 79A 7A

81A 85A 86A 8A 90A 91A 92A 93A 94A 95A 96A 97A 98A

99A 9A A7401 A7402 A7404 A7405 A7406 A7407 A7408 A7409 A7410 A74100 A74101

A74102 A74104 A74106 A74107 A74108 A74109 A7411 A74110 A74111 A74112 A74113 A74114 A74115

A74116 A74117 A74119 A7412 A74121 A74122 A74123 A74125 A74126 A74127 A74128 A74129 A7413

A74130 A74131 A74132 A74133 A74134 A7414 A74141 A74142 A74143 A74146 A7415 A7416 A7417

A7418 A7419 A7420 A7421 A7422 A7423 A7424 A7425 A7426 A7427 A7428 A7429 A7430

A7431 A7432 A7433 A7434 A7435 A7436 A7437 A7438 A7439 A7440 A7442 A7445 A7448

A7450 A7451 A7452 A7453 A7454 A7455 A7457 A7459 A7461 A7463 A7465 A7472 A7476

A7478 A7479 A7480 A7482 A7484 A7485 A7487 A7488 A7489 A7491 A7492 A7493 A7494

A7496 A7497 A7498 A7499 C100 C103 C104 C105 C106 C107 C108 C109 C110

C111 C112 C113 C115 C116 C117 C118 C119 C120 C121 C13 C141 C142

C146 C147 C149 C14A C14B C15 C150 C155 C159 C16 C160 C161 C162

C163 C165 C166 C167 C169 C17 C170 C180 C181 C182 C183 C184 C19

C190 C192 C193 C194 C195A C20 C200 C201 C202 C203 C204 C206 C207

C208 C209 C21 C210 C211 C212 C213 C214 C215 C216 C217 C22 C220

C221 C222 C226 C23 C231 C234 C24 C240 C241 C242 C243 C244 C245

C246 C247 C248 C249 C25 C250 C251 C255 C256 C26 C263 C264 C269

C27 C270 C271 C28 C3 C30 C300 C305 C313 C316 C317 C319 C32

C323 C324 C328 C33 C34 C35 C37 C39 C4 C40 C44 C45 C46

C49 C5 C51A C56 C57 C58 C59 C6 C61 C62 C63 C65 C68

C7 C70 C71 C72 C74 C76 C78 C79 C8 C81 C83 C84 C86

C91 C92 C93 C95 C96 C97 C261 C1706 C1707 C17071 C1710 C1711 C1712

C1713 C1714

Eastern zone:

C1001 C1002 C1003 C1004 C1005 C1006 C1007 C1008 C1014 C1015 C1016 C1017 C1018

C1019 C1020 C1021 C1022 C1023 C1028 C10291 C10292 C1030 C1031 C1033 C1034 C1035

C1037 C1069 C1070 C1071 C1072 C1075 C1076 C1077 C1078 C1079 C1080 C1081 C1082

C1083 C1084 C1085 C1086 C1087 C1088 C1089 C1090 C1606 C1610 C1621 C1622 C1625

C1627 C1629 C1631 C16311 C1633 C1634 C1638 C1611 C1602 C1603 C1604 C1605

Table 29 Included diamond drillholes


2. Included Channel samples

B200-1L145 B200-1L176 B200-1L215 B200-1L253 B200-1L276 B200-1L322

B200-1L337 B200-1L356 B200-1L392 B200-1L432 B200-1L452 B200-1L477

B200-1L492 B200-1L530 B200-1L569 B200-1L60 B200-1L611 B200-1L629

B200-1L653 B200-1L713 B200-1L751 B200-1L780 B200-1L98 B216-1-1-1L1538

B216-1-1-1L1572

B216-1-1-1L1606

B216-1-1-1L1626

B216-1-1-1L1652 B216-1-1-1L1682

B216-1-1-1L1721

B216-1-1-1L1760

B216-1-1-1L1798

B216-1-1-1L1834

B216-1-1-1L1869 B216-1-3-1L0 B216-1-3-1L1025

B216-1-3-1L1060

B216-1-3-1L1093

B216-1-3-1L1131

B216-1-3-1L1149 B216-1-3-1L1181

B216-1-3-1L1217

B216-1-3-1L1255

B216-1-3-1L1293

B216-1-3-1L1311

B216-1-3-1L133 B216-1-3-1L1347

B216-1-3-1L1369

B216-1-3-1L1403

B216-1-3-1L1435

B216-1-3-1L1469

B216-1-3-1L1504 B216-1-3-1L172 B216-1-3-1L206

B216-1-3-1L249 B216-1-3-1L280 B216-1-3-1L331 B216-1-3-1L365 B216-1-3-1L397 B216-1-3-1L431

B216-1-3-1L464 B216-1-3-1L48 B216-1-3-1L496 B216-1-3-1L532 B216-1-3-1L556 B216-1-3-1L581

B216-1-3-1L625 B216-1-3-1L660 B216-1-3-1L695 B216-1-3-1L730 B216-1-3-1L768 B216-1-3-1L803

B216-1-3-1L839 B216-1-3-1L877 B216-1-3-1L915 B216-1-3-1L95 B216-1-3-1L953 B216-1-3-1L991

B216-1-3-21L0 B216-1-3-21L30 B216-1-3-21L62 B216-1-3-21L92 B216-1-3-2L157 B216-1-3-2L186

B216-1-3-2L2285

B216-1-3-2L25 B216-1-3-2L74 B216-1L111 B216-1L147 B216-1L180

B216-1L215 B216-1L248 B216-1L26 B216-1L270 B216-1L297 B216-1L53

B216-1L81 B219-1-2-1L110 B219-1-2-1L127 B219-1-2-1L163 B219-1-2-1L180 B219-1-2-1L214

B219-1-2-1L248 B219-1-2-1L28 B219-1-2-1L282 B219-1-2-1L46 B219-1-2-1L70 B219-1-2-1L92

B228-1 B228-1-3-1L111 B228-1-3-1L124 B228-1-3-1L134 B228-1-3-1L146 B228-1-3-1L156

B228-1-3-1L173 B228-1-3-1L183 B228-1-3-1L185 B228-1-3-1L235 B228-1-3-1L272 B228-1-3-1L275

B228-1-3-1L291 B228-1-3-1L304 B228-1-3-1L305 B228-1-3-1L326 B228-1-3-1L341 B228-1-3-1L349

B228-1-3-1L362 B228-1-3-1L37 B228-1-3-1L380 B228-1-3-1L385 B228-1-3-1L396 B228-1-3-1L415

B228-1-3-1L430 B228-1-3-1L431 B228-1-3-1L44 B228-1-3-1L457 B228-1-3-1L465 B228-1-3-1L479

B228-1-3-1L52 B228-1-3-1L535 B228-1-3-1L72 B228-1-3-1L75 B228-1-3-1L85 B228-1-3-1L92

B228-1-3-2L1024

B228-1-3-2L1060

B228-1-3-2L1098

B228-1-3-2L1132 B228-1-3-2L1168

B228-1-3-2L1207

B228-1-3-2L1234

B228-1-3-2L1277

B228-1-3-2L1311

B228-1-3-2L1342 B228-1-3-2L1376

B228-1-3-2L573

B228-1-3-2L609 B228-1-3-2L627 B228-1-3-2L647 B228-1-3-2L684 B228-1-3-2L719 B228-1-3-2L754

B228-1-3-2L793 B228-1-3-2L808 B228-1-3-2L844 B228-1-3-2L880 B228-1-3-2L916 B228-1-3-2L952

B228-1-3-2L988 B228-1-3-3L0 B228-1-3-3L100 B228-1-3-3L140 B228-1-3-3L160 B228-1-3-3L34

B228-1-3-3L55 B228-1-3-3L70 B228-1-3-3L80 B228-1-3-4L117 B228-1-3-4L154 B228-1-3-4L19

B228-1-3-4L190 B228-1-3-4L52 B228-1-3-4L84 B228-2-2L103 B228-2-2L104 B228-2-2L138

B228-2-2L147 B228-2-2L165 B228-2-2L187 B228-2-2L201 B228-2-2L205 B228-2-2L224

B228-2-2L240 B228-2-2L264 B228-2-2L279 B228-2-2L31 B228-2-2L319 B228-2-2L48

B228-2-2L59 B228-2-2L76 B228-2-3L1000 B228-2-3L108 B228-2-3L148 B228-2-3L177

B228-2-3L198 B228-2-3L245 B228-2-3L265 B228-2-3L294 B228-2-3L315 B228-2-3L357

B228-2-3L385 B228-2-3L411 B228-2-3L440 B228-2-3L455 B228-2-3L46 B228-2-3L485


B228-2-3L515 B228-2-3L537 B228-2-3L565 B228-2-3L581 B228-2-3L602 B228-2-3L661

B228-2-3L697 B228-2-3L737 B228-2-3L777 B228-2-3L79 B228-2-3L817 B228-2-3L837

B228-2-3L859 B228-2-3L878 B228-2-3L922 B228-2-3L940 B228-2-3L957 B228-2-3L980

B228-3-1L100 B228-3-1L139 B228-3-1L164 B228-3-1L203 B228-3-1L225 B228-3-1L248

B228-3-1L267 B228-3-1L285 B228-3-1L308 B228-3-1L328 B228-3-1L33 B228-3-1L350

B228-3-1L370 B228-3-1L39 B228-3-1L390 B228-3-1L412 B228-3-1L433 B228-3-1L455

B228-3-1L477 B228-3-1L500 B228-3-1L519 B228-3-1L56 B228-3-1L602 B228-3-1L75

B228-3-1L78 B228-3-2L10 B228-3-2L115 B228-3-2L137 B228-3-2L155 B228-3-2L169

B228-3-2L169-1 B228-3-2L169-2 B228-3-2L185 B228-3-2L205 B228-3-2L227 B228-3-2L31

B228-3-2L51 B228-3-2L91 B228-6-1L128 B228-6-1L144 B228-6-1L168 B228-6-1L194

B228-6-1L20 B228-6-1L222 B228-6-1L260 B228-6-1L36 B228-6-1L52 B228-6-1L73

B228-6-1L99 B228-6-2L0 B228-6-2L112 B228-6-2L136 B228-6-2L162 B228-6-2L200

B228-6-2L240 B228-6-2L275 B228-6-2L345 B228-6-2L396 B228-6-2L464 B228-6-2L504

B228-6-2L550 B228-6-2L590 B228-6-2L85 B228-6-3L1009 B228-6-3L103 B228-6-3L1048

B228-6-3L1102 B228-6-3L1141 B228-6-3L1192 B228-6-3L1230 B228-6-3L143 B228-6-3L183

B228-6-3L262 B228-6-3L305 B228-6-3L360 B228-6-3L400 B228-6-3L438 B228-6-3L480

B228-6-3L518 B228-6-3L578 B228-6-3L631 B228-6-3L67 B228-6-3L673 B228-6-3L711

B228-6-3L747 B228-6-3L783 B228-6-3L819 B228-6-3L899 B228-6-3L934 B228-6-3L971

B228-7-2L52 B240-1-3-1L112 B240-1-3-1L146 B240-1-3-1L179 B240-1-3-1L48 B240-1-3-1L64

B240-1-3-1L96 B240-1-3-2L1011

B240-1-3-2L1045

B240-1-3-2L874 B240-1-3-2L911 B240-1-3-2L948

B240-1-3-2L975 B240-1-3-3L134 B240-1-3-3L174 B240-1-3-3L20 B240-1-3-3L225 B240-1-3-3L265

B240-1-3-3L305 B240-1-3-3L347 B240-1-3-3L389 B240-1-3-3L56 B240-1-3-3L94 B240-1-3-4L125

B240-1-3-4L158 B240-1-3-4L260 B240-1-3-4L294 B240-1-3-4L332 B240-1-3-4L34 B240-1-3-4L370

B240-1-3-4L402 B240-1-3-4L630 B240-1-3-4L667 B240-1-3-4L700 B240-1-3-4L736 B240-1-3-4L76

B240-1-3-4L765 B240-1-3-4L803 B240-1-3-4L840 B240-1-3-5L111 B240-1-3-5L13 B240-1-3-5L33

B240-1-3-5L55 B240-1-3-5L80 B240-2-2L101 B240-2-2L140 B240-2-2L172 B240-2-2L207

B240-2-2L243 B240-2-2L274 B240-2-2L30 B240-2-2L303 B240-2-2L342 B240-2-2L383

B240-2-2L415 B240-2-2L451 B240-2-2L480 B240-2-2L70 B240-2-3L149 B240-2-3L179

B240-2-3L216 B240-2-3L253 B240-2-3L285 B240-2-3L30 B240-2-3L49 B240-2-3L98

B240-2-4L117 B240-2-4L133 B240-2-4L155 B240-2-4L170 B240-2-4L206 B240-2-4L236

B240-2-4L24 B240-2-4L289 B240-2-4L324 B240-2-4L358 B240-2-4L390 B240-2-4L51

B240-2-4L84 B240-3-1L24 B240-3-1L62 B240-3-1L99 B240-3-2L106 B240-3-2L149

B240-3-2L191 B240-3-2L233 B240-3-2L234 B240-3-2L266 B240-3-2L286 B240-3-2L29

B240-3-2L329 B240-3-2L352 B240-3-2L385 B240-3-2L425 B240-3-2L467 B240-3-2L503

B240-3-2L530 B240-3-2L547 B240-3-2L574 B240-3-2L72 B240-3-2NE B240-3-3L129

B240-3-3L156 B240-3-3L192 B240-3-3L224 B240-3-3L27 B240-3-3L60 B240-3-3L92

B240-3-3NW B240-3-4L19 B240-3-4L53 B240-3-4L85 B240-6-1L115 B240-6-1L153

B240-6-1L194 B240-6-1L235 B240-6-1L280 B240-6-1L320 B240-6-1L355 B240-6-1L37

B240-6-1L398 B240-6-1L452 B240-6-1L501 B240-6-1L540 B240-6-1L560 B240-6-1L596

B240-6-1L60 B240-6-1L631 B240-6-1L649 B240-6-1L80 B240-6-2L119 B240-6-2L164

B240-6-2L194 B240-6-2L232 B240-6-2L335 B240-6-2L376 B240-6-2L423 B240-6-2L461

B240-6-2L511 B240-6-2L573 B240-6-2L74 B240-6-3L57 B240-6-3L79 B240-7-1L147

B240-7-1L164 B240-7-1L203 B240-7-1L243 B240-7-1L285 B240-7-1L306 B240-7-1L346


B240-7-1L395 B240-7-1L40 B240-7-1L502 B240-7-1L534 B240-7-1L563 B240-7-1L60

B240-7-1L81 B240-7-2L105 B240-7-2L146 B240-7-2L185 B240-7-2L217 B240-7-2L265

B240-7-2L307 B240-7-2L345 B240-7-2L390 B240-7-2L45 B240-7-2L613 B240-7-2L634

B240-7-2L693 B240-7-2L714 B240-7-2L754 B240-7-2L817 B240-7-2L857 B240-7-2L901

B240-7-2L945 B240-8-1L120 B240-8-1L180 B240-8-1L220 B240-8-1L294 B240-8-1L324

B240-8-1L364 B240-8-1L42 B240-8-1L426 B240-8-1L463 B240-8-1L493 B240-8-1L81

B240-8-2-1L154 B240-8-2-1L39 B240-8-2-1L75 B240-8-2L52 B240-8-2L95 B240-8-3L150

B240-8-3L78 B252-1-3-1L103 B252-1-3-1L121 B252-1-3-1L172 B252-1-3-1L190 B252-1-3-1L20

B252-1-3-1L240 B252-1-3-1L274 B252-1-3-1L308 B252-1-3-1L372 B252-1-3-1L405 B252-1-3-1L442

B252-1-3-1L472 B252-1-3-1L500 B252-1-3-1L52 B252-1-3-1L535 B252-1-3-1L553 B252-1-3-1L585

B252-1-3-1L621 B252-1-3-1L659 B252-1-3-1L70 B252-1-3-2L102 B252-1-3-2L113 B252-1-3-2L138

B252-1-3-2L147 B252-1-3-2L18 B252-1-3-2L32 B252-1-3-2L52 B252-1-3-2L66 B252-1-3-2L77

B252-1-3-3L107 B252-1-3-3L126 B252-1-3-3L164 B252-1-3-3L37 B252-1-3-3L75 B252-2-1L111

B252-2-1L141 B252-2-1L161 B252-2-1L192 B252-2-1L56 B252-2-1L87 B252-2-1W

B252-2-2L113 B252-2-2L147 B252-2-2L180 B252-2-2L20 B252-2-2L210 B252-2-2L241

B252-2-2L275 B252-2-2L307 B252-2-2L340 B252-2-2L378 B252-2-2L38 B252-2-2L393

B252-2-2L429 B252-2-2L463 B252-2-2L76 B252-2-2SEL115 B252-2-2SEL30 B252-2-2SEL78

B252-2-2SEL96 B252-2-2SL50 B252-2-3L120 B252-2-3L154 B252-2-3L191 B252-2-3L226

B252-2-3L260 B252-2-3L311 B252-2-3L360 B252-2-3L410 B252-2-3L461 B252-2-3L487

B252-2-3L50 B252-2-3L523 B252-2-3L558 B252-2-3L576 B252-2-3L610 B252-2-3L657

B252-2-3L738 B252-2-3L761 B252-2-3L801 B252-2-3L831 B252-2-3L866 B252-2-3L88

B252-2-3L905 B252-2-3L958 B252-2-4L100 B252-2-4L138 B252-2-4L168 B252-2-4L207

B252-2-4L22 B252-2-4L237 B252-2-4L67 B252-3-1L113 B252-3-1L148 B252-3-1L200

B252-3-1L214 B252-3-1L248 B252-3-1L30 B252-3-1L329 B252-3-1L361 B252-3-1L392

B252-3-1L414 B252-3-1L467 B252-3-1L555 B252-3-1L64 B252-3-1L97 B252-3-2

B252-3-2L128 B252-3-2L164 B252-3-2L203 B252-3-2L221 B252-3-2L239 B252-3-2L253

B252-3-2L298 B252-3-2L30 B252-3-2L336 B252-3-2L372 B252-3-2L418 B252-3-2L452

B252-3-2L487 B252-3-2L521 B252-3-2L557 B252-3-2L605 B252-3-2L62 B252-3-2L97

B252-3-3 B252-3-3L150 B252-3-3L341 B252-3-3L409 B252-3-3L478 B252-3-3L530

B252-3-3L559 B252-3-3L58 B252-3-3L97E B252-3-4L150 B252-3-4L200 B252-3-4L269

B252-3-4L303 B252-3-4L341 B252-3-4NW B252-3-4SE B252-3-4W B264-1-3-1L108

B264-1-3-1L146 B264-1-3-1L184 B264-1-3-1L220 B264-1-3-1L257 B264-1-3-1L295 B264-1-3-1L36

B264-1-3-1L72 B264-1-3-2L18 B264-1-3-2L40 B264-1-3-2L71 B264-1-3-2L93 B268-2-1L109

B268-2-1L125 B268-2-1L140 B268-2-1L162 B268-2-1L170 B268-2-1L192 B268-2-1L241

B268-2-1L277 B268-2-1L305 B268-2-1L336 B268-2-1L375 B268-2-1L39 B268-2-1L47

B268-2-1L50 B268-2-1L70 B268-2-1L90 B268-2-2-1L108 B268-2-2-1L145 B268-2-2-1L190

B268-2-2-1L235 B268-2-2-1L260 B268-2-2-1L32 B268-2-2-1L63 B268-2-2-1L77 B268-2-2L105

B268-2-2L139 B268-2-2L172 B268-2-2L194 B268-2-2L259 B268-2-2L27 B268-2-2L57

B268-2-2L72 B268-2-3-1L110 B268-2-3-1L35 B268-2-3-1L64 B268-2-3-1L82 B268-2-3-2L24

B268-2-3-2L48 B268-2-3L0 B268-2-3L101 B268-2-3L138 B268-2-3L189 B268-2-3L243

B268-2-3L275 B268-2-3L302 B268-2-3L336 B268-2-3L35 B268-2-3L365 B268-2-3L380

B268-2-3L396 B268-2-3L418 B268-2-3L448 B268-2-3L516 B268-2-3L584 B268-2-3L69

B268-2-4L105 B268-2-4L142 B268-2-4L178 B268-2-4L227 B268-2-4L276 B268-2-4L30

B268-2-4L305 B268-2-4L345 B268-2-4L407 B268-2-4L472 B268-2-4L512 B268-2-4L532


B268-3-1L133 B268-3-1L155 B268-3-1L174 B268-3-1L202 B268-3-1L237 B268-3-1L292

B268-3-1L318 B268-3-1L41 B268-3-1L84 B268-3-2L118 B268-3-2L150 B268-3-2L183

B268-3-2L213 B268-3-2L242 B268-3-2L242N B268-3-2L242S B268-3-2L272 B268-3-2L303

B268-3-2L303N B268-3-2L31 B268-3-2L338 B268-3-2L338N B268-3-2L370 B268-3-2L400

B268-3-2L406 B268-3-2L86 B268-6-1L10 B268-6-1L145 B268-6-1L198 B268-6-1L20

B268-6-1L251 B268-6-1L45 B268-6-1L87 B268-6-2L43 B268-6-2L91 BE228-3-1

BN228-1-3-1 BN228-1-3-3 BN240-1-3-1 BN240-2-2L121 BN240-2-2L139 BN240-2-2L157

BN240-2-2L173 BN240-2-2L208 BN240-2-2L27 BN240-2-2L69 BN240-2-2L87 BN240-7-2L115



BN252-2-3L44 BN252-2-3L80 BS228-1-3-1 BS240-1-3-1 BS240-2-2L135 BS240-2-2L166

BS240-2-2L204 BS240-2-2L220 BS240-2-2L225 BS240-2-2L247 BS240-2-2L267 BS240-2-2L296





BS240-8-1L277 BS240-8-1L299 BS240-8-1L36 BS240-8-1L93 BS240-8-1W BW228-3-1

D216-1L0 D216-1L1 K1121 K212 K213 K216

K223 K235 K246-A K246-B K246-C K246-D

K246-F K246-G K246-H K246-I K246-J K246-K

K246-L K246-M K246-N K246-O K246-P K246-Q

K246-R K246-S K247 K247A K247B K247C

K248 K251 K251A K251B O240-8-5L218 O240-8-5L238

O240-8-5L258 O240-8-5L303 O240-8-5L325 ON219-1-2-1 ON228-1-3-1 ON228-2-1

ON228-2-3 ON228-2-4 ON228-2-5 ON228-2-6 ON228-3-3 ON228-3-4

ON228-3-5 ON228-7-1 ON240-1-1 ON240-1-11 ON240-1-13 ON240-1-14

ON240-1-3-1 ON240-3 ON240-7-1 ON240-8-5 ON240-8-7 ON240MKC

ON244-2-11 ON244-2-12 ON252-1-3-1 ON252-1-3-2 ON264-1-3-1 ON268-2-1

ON268-6-1 ON268-6-2 ON268-6-3 ONE252-2-2 ONN252-1-3-1 ONW228-2-5

ONW228-3-5 ONW252-2-2 OS219-1-2-1 OS228-1-3-1 OS228-2-1 OS228-2-3

OS228-2-5 OS228-2-6 OS228-2-9 OS228-3-3 OS228-3-4 OS228-7-1

OS240-1-1 OS240-1-3-1 OS240-3 OS240-7-1E OS240-7-1W OS240-8-7

OS240MKC OS244-2-11 OS244-2-12 OS252-1-3-1 OS252-1-3-2 OS264-1-3-1

OS268-2-1 OS268-6-1 OS268-6-2 OS268-6-3 OSE228-2-3 OSE228-3-5

OSE252-2-2 OSN252-1-3-1 OSW252-2-2 OZN240-8 OZN240-8-1 OZS240-8

OZS240-8-1 R216-12L148 R216-12L168 R216-12L188 R216-12L216 R216-12L233

R216-12L268 R216-12L281 R240-3L427 R240-3L465 R240-3L501 R240-3L537

R240-3L574 R240-3L611 R240-8-2 R252-2-2L108 R252-2-2L149 R252-2-2L183

R252-2-2L233 R252-2-2L80 R252-3-1 RN216-1 RN216-10 RN216-12

RN216-2 RN216-3 RN216-4 RN216-5 RN216-6 RN216-7

RN216-8 RN228-1 RN228-2 RN228-3 RN228-4 RN228-5

RN228-6 RN228-6-2-1 RN228-6-2-2 RN228-7 RN240-2 RN240-4

RN240-6-2 RN240-7-1 RN240-8-1 RN252-1-1 RN252-1-2 RN252-2-1

RN252-2-2 RN252-2-4 RN252-2-5 RN264-1 RN268-1 RN268-1-1


RN268-2 RN268-3 RNE228-6-2-1 RS216-1 RS216-10 RS216-12

RS216-2 RS216-3 RS216-4 RS216-5 RS216-6 RS216-7

RS216-8 RS228-1 RS228-2 RS228-3 RS228-4 RS228-5

RS228-6 RS228-6-2-1 RS228-7 RS240-2 RS240-4 RS240-6-1

RS240-7-1 RS240-8-1 RS252-1-1 RS252-1-2 RS252-2-1 RS252-2-2

RS252-2-3 RS252-2-4 RS252-2-5 RS264-1 RS268-1 RS268-2

RS268-3 RS268-4 RS268-6-1 RSE252-2-4 RSW228-6-2-1 S3A-2075

S3B-2075 S3C2125 S3N-2025 S3N-2050 S3N-2075 S3N-2100

S3N-2125 S3N-2150 S3N-2170 S3S-2025 S3S-2050 S3S-2075

S3S-2100 S3S-2125 S3S-2150 S3S-2170 S4N-2050 S4N-2100

S4N-2125 S4N-2150 S4N-2175 S4N-2200 S4N-2225 S4N-2250

S4N-2275 S4N-2300 S4N-2325 S4N-2350 S4N-2375 S4N-2400

S4S-2050 S4S-2100 S4S-2125 S4S-2150 S4S-2175 S4S-2200

S4S-2225 S4S-2250 S4S-2275 S4S-2300 S4S-2325 S4S-2350

S4S-2375 S4S-2400 S5N-2250 S5N-2300 S5N-2325 S5N-2350

S5N-2375 S5N-2400 S5N-2425 S5N-2450 S5N-2475 S5N-2500

S5N-2525 S5N-2550 S5S-2250 S5S-2300 S5S-2325 S5S-2350

S5S-2375 S5S-2400 S5S-2425 S5S-2450 S5S-2475 S5S-2500

S5S-2525 S5S-2550 T10A-P1 T10A-P10 T10A-P11 T10A-P12

T10A-P13 T10A-P14 T10A-P15 T10A-P16 T10A-P17 T10A-P18






T10A-P8 T10A-P9 T10-P1 T10-P10 T10-P11 T10-P12

T10-P13 T10-P14 T10-P15 T10-P16 T10-P17 T10-P18

T10-P19 T10-P2 T10-P20 T10-P21 T10-P22 T10-P23

T10-P24 T10-P25 T10-P26 T10-P27 T10-P28 T10-P29

T10-P3 T10-P30 T10-P31 T10-P32 T10-P33 T10-P34

T10-P35 T10-P36 T10-P37 T10-P38 T10-P39 T10-P4

T10-P40 T10-P41 T10-P5 T10-P6 T10-P7 T10-P8

T10-P9 T1-1002 T1-1002A T1-1032 T1-1064 T1-1094

T1-1121X T1-1121Y T1-1149 T1-1175 T1-1175A T1-1175B

T1-120 T1-1220 T1-1220A T1-1245 T1-1245A T1-125

T1-1276 T1-1302 T1-1302A T1-1328 T1-1355 T1-1355A

T1-1383 T1-1410 T1-1410A T1-1438 T1-1466 T1-1466A

T1-148 T1-1492 T1-1517A T1-1517X T1-1517Y T1-1542

T1-157 T1-1570 T1-1570A T1-1570B T1-1600 T1-1628

T1-1656 T1-1671 T1-1688X T1-1688Y T1-1704 T1-1716

T1-1727 T1-1740 T1-1753 T1-1766 T1-1781 T1-1796

T1-1813 T1-1829 T1-1843 T1-185 T1-1855 T1-185A

T1-185B T1-185C T1-185D T1-1869X T1-1869Y T1-188

T1-1882 T1-1891 T1-1909 T1-1925 T1-1945 T1-1972


T1-2003 T1-2003A T1-2037X T1-2037Y T1-2069 T1-2099

T1-2099A T1-2099B T1-2130 T1-2150 T1-218 T1-2182

T1-2200X T1-2200Y T1-2200Z T1-2228 T1-2256 T1-2284

T1-231 T1-2315 T1-2315A T1-2345 T1-2374 T1-2404

T1-2404A T1-2435 T1-246 T1-2465 T1-246A T1-246B

T1-2505 T1-2535 T1-2565 T1-2598 T1-263 T1-2630

T1-263A T1-2655 T1-2682 T1-2714 T1-2745 T1-2775

T1-2775A T1-2775B T1-2775C T1-281 T1-2810X T1-2810Y

T1-2843 T1-2876 T1-2876A T1-2905 T1-2934 T1-2960

T1-2960A T1-2989 T1-300 T1-300A T1-300B T1-3015

T1-3046 T1-3073 T1-3102 T1-3135 T1-3163 T1-3163A

T1-3194 T1-3225 T1-323 T1-323A T1-323B T1-3256

T1-3290 T1-3290A T1-3316 T1-3316A T1-3375 T1-3375A

T1-3375B T1-3418 T1-3418A T1-3418B T1-342 T1-3476

T1-3476A T1-3476B T1-3506 T1-3506A T1-3538 T1-3590

T1-3590A T1-3590B T1-3670 T1-3670A T1-3670B T1-372

T1-3720 T1-3720A T1-3720B T1-372A T1-372B T1-3770

T1-3770A T1-3770B T1-3820 T1-3820A T1-3820B T1-3869

T1-3869A T1-3869B T1-3910 T1-3910A T1-3947 T1-3947A

T1-3984 T1-402 T1-4020 T1-4020A T1-4057 T1-4090

T1-4090A T1-4122 T1-4160 T1-4187 T1-4221X T1-4221Y

T1-4245 T1-426X T1-426Y T1-4279 T1-4279A T1-4279B

T1-4308 T1-4343 T1-4376 T1-4394 T1-4394A T1-4394B

T1-4421 T1-4448 T1-4481 T1-450 T1-4511 T1-4511X

T1-4511Y T1-4543 T1-4572 T1-4572A T1-4602 T1-4631

T1-4631A T1-4665 T1-4695 T1-4723 T1-4723A T1-4723B

T1-4753 T1-4782 T1-480 T1-4813 T1-4813A T1-4840

T1-4866 T1-4892 T1-49 T1-4941 T1-4941A T1-4969

T1-4999 T1-5035 T1-5035A T1-5035B T1-5066 T1-508

T1-5099 T1-5131 T1-5161 T1-5187A T1-5187B T1-5187C

T1-5187D T1-5187X T1-5187Y T1-5203 T1-5240 T1-5267

T1-5295 T1-5295A T1-5295B T1-5323 T1-534 T1-534A

T1-534B T1-5350 T1-5350A T1-5350B T1-5377 T1-5407

T1-5437 T1-5462 T1-5492 T1-5522 T1-5550 T1-5576

T1-5603 T1-5629 T1-563 T1-563A T1-5656 T1-5682

T1-5711 T1-5736 T1-5766 T1-5794 T1-5823 T1-5849

T1-5874 T1-589 T1-5900 T1-5900A T1-5930 T1-5930A

T1-5955 T1-5983 T1-60 T1-6010 T1-6010A T1-6040

T1-6077 T1-6103 T1-6133 T1-614 T1-6162 T1-6162A

T1-6185 T1-6185A T1-6212 T1-6212A T1-6242 T1-6269

T1-6299 T1-6337 T1-6337A T1-6357 T1-6357A T1-6385

T1-640 T1-6407 T1-640A T1-6428 T1-6469 T1-6469A

T1-6508 T1-6508A T1-6542 T1-6576 T1-6610 T1-6610A

T1-6610B T1-6640 T1-6640A T1-6640B T1-6666 T1-6666A


T1-6697 T1-6697A T1-671 T1-6727 T1-6727A T1-6761

T1-6761A T1-6788 T1-6817 T1-6848 T1-6879 T1-6879A

T1-6909 T1-6936 T1-6936A T1-695 T1-6966 T1-6966A

T1-6995 T1-7019 T1-7019A T1-7049 T1-7049A T1-7078

T1-7107 T1-7137 T1-7173 T1-7199 T1-7220 T1-725

T1-7256 T1-7256A T1-7285 T1-7285A T1-7285B T1-7316

T1-7347 T1-7347A T1-7377 T1-7377A T1-7377B T1-7405

T1-7440 T1-7472 T1-7472A T1-7502 T1-7502A T1-752

T1-752A T1-7530 T1-7559 T1-7586 T1-7614 T1-7644

T1-7668 T1-7698 T1-7724 T1-775 T1-7750 T1-7777

T1-7806 T1-7806A T1-7839 T1-7871 T1-7904 T1-7904A

T1-7936 T1-7978 T1-80 T1-8001 T1-8024 T1-803

T1-803A T1-803B T1-8053 T1-8080 T1-8106 T1-8133

T1-8158 T1-8181 T1-8209 T1-8241 T1-8276 T1-830

T1-8308 T1-8339 T1-8367 T1-8367A T1-8367B T1-8397

T1-8427 T1-8458 T1-8492 T1-8525 T1-8550 T1-856

T1-8575 T1-8603 T1-8632 T1-8632A T1-8659 T1-8682

T1-8714 T1-8741 T1-8764 T1-8800 T1-8826 T1-8852

T1-887 T1-8876 T1-913X T1-913Y T1-943 T1-95

T1-973 T1-973A T1-973B T1-KPVA T1-KPVB T1-KPVC

T1-P1 T1-P2 T1-P3 T1-P4 T2-305 T2-305A

T2-305B T2-305C T2-305D T2-305E T2-305F T2-305G

T2-305H T2-305I T2-305J T2-305K T2-336 T2-365

T2-394 T2-422 T2-453 T2-453A T2-453B T2-482

T2-510 T2-537 T2-564 T2-590 T2-618 T2-655

T2-680 T2-707 T2-P1 T2-P10 T2-P11 T2-P12

T2-P13 T2-P14 T2-P15 T2-P16 T2-P17 T2-P18

T2-P18A T2-P19 T2-P19A T2-P1A T2-P2 T2-P20

T2-P20A T2-P20B T2-P21 T2-P21A T2-P21B T2-P22

T2-P22A T2-P23 T2-P23A T2-P24 T2-P24A T2-P24B

T2-P25 T2-P25A T2-P26 T2-P26A T2-P27 T2-P27A

T2-P28 T2-P28A T2-P29 T2-P29A T2-P3 T2-P30

T2-P30A T2-P31 T2-P31A T2-P32 T2-P4 T2-P5

T2-P5A T2-P6 T2-P7 T2-P8 T2-P9 T3-1014X

T3-1014Y T3-1041 T3-1070 T3-110 T3-1100 T3-110X

T3-110Y T3-1130X T3-1130Y T3-1160 T3-1187X T3-1187Y

T3-1215 T3-1248 T3-1278 T3-1306 T3-1334 T3-140

T3-165 T3-165A T3-202 T3-227 T3-227A T3-266

T3-285X T3-285Y T3-313 T3-344 T3-344A T3-344B

T3-373 T3-413X T3-413Y T3-432 T3-462 T3-48

T3-486 T3-48A T3-48B T3-510 T3-539 T3-539A

T3-539X T3-539Y T3-566 T3-566A T3-597 T3-630

T3-653 T3-653A T3-683X T3-683Y T3-712 T3-738

T3-763 T3-788 T3-812 T3-838 T3-85 T3-866X


T3-866Y T3-894 T3-930 T3-930A T3-956 T3-982

T3-P1 T3-P10 T3-P11 T3-P12 T3-P13 T3-P2

T3-P3 T3-P4 T3-P5 T3-P6 T3-P7 T3-P8

T3-P9 T4-P1 T4-P2 T4-P3 T4-P4 T5-P1

T5-P2 T5-P3 T5-P4 T5-P5 T6-P1 T6-P10

T6-P11 T6-P2 T6-P3 T6-P4 T6-P5 T6-P6

T6-P7 T6-P8 T6-P9 T7-P1 T7-P10 T7-P11

T7-P12 T7-P13 T7-P14 T7-P15 T7-P16 T7-P17

T7-P18 T7-P19 T7-P2 T7-P20 T7-P3 T7-P4

T7-P5 T7-P6 T7-P7 T7-P8 T7-P9 T9-P1

T9-P10 T9-P11 T9-P12 T9-P13 T9-P14 T9-P15

T9-P16 T9-P16A T9-P17 T9-P17A T9-P18 T9-P19

T9-P2 T9-P20 T9-P21 T9-P22 T9-P23 T9-P24

T9-P25 T9-P26 T9-P26A T9-P27 T9-P28 T9-P29

T9-P29A T9-P3 T9-P30 T9-P30A T9-P31 T9-P31A



T9-P38 T9-P38A T9-P39 T9-P4 T9-P5 T9-P6

T9-P7 T9-P8 T9-P9 T-BK4N T-BK4S T-BK4SA

T-BK4SB T-BK4SC T-BK4SD TVS240-1W

Table 30 Included channel samples to 31st December 2012


BSN216-4-2L165 BSN216-4-1L120 B216-4-1L214 BS228-7-2L301 BS228-7-2L715

BSN216-4-2L180 BSN216-4-1L85 ON216-4-5 BS228-7-2L319 BS228-7-2L740

BSN216-4-2L138 BSN216-4-1L50 OS216-4-5 BS228-7-2L355 ON240-10-1

BSN216-4-2L124 BSN216-4-1L14 ON216-5-1 BS228-7-2L374 OS240-10-1

BSN216-4-2L92 BSS216-4-1L28 OS216-5-1 BS228-7-2L392 RN240-10-1

BSN216-4-2L60 BSS216-4-1L63 BN228-7-2L97 BS228-7-2L409 RS240-10-1

BSN216-4-2L27 ON216-4-1 BS228-7-2L20 BS228-7-2L426 ON244-10-1

BSS216-4-2L20 OS216-4-1 BS228-7-2L36 BS228-7-2L458 OS244-10-1

BSS216-4-2L31 ON216-4-2 BS228-7-2L51 BS228-7-2L508 RN240-10-3

BSS216-4-2L46 OS216-4-2 BS228-7-2L71 BS228-7-2L529 RS240-10-2

BSS216-4-2L80 ON216-4-3 BS228-7-2L92 BS228-7-2L547 BS240-10L195

BSS216-4-2L188 OS216-4-3 BS228-7-2L132 BS228-7-2L565 BS240-10L150

BSS216-4-2L254 ON216-4-4 BS228-7-2L152 BS228-7-2L584 BS240-10L125

BSS216-4-2L274 ONC216-4-4 BS228-7-2L177 BS228-7-2L602

BSS216-4-2L309 OS216-4-4 BS228-7-2L218 BS228-7-2L622

BSS216-4-2L325 B216-4-1L130 BS228-7-2L240 BS228-7-2L642

BSS216-4-2L345 B216-4-1L150 BS228-7-2L262 BS228-7-2L665

BSN216-4-1L139 B216-4-1L172 BS228-7-2L282 BS228-7-2L690

Table 31 Channel samples added during 2013

BN240-7-1L226 SS240-8-2L205 RR220-10-6N OV200_222-7-1N RS210-10-1LS58

BN240-7-1L244 SS240-8-2L233 SS220-10-1NNL24 KSL215-7-1 RS210-10-1LS48

BN240-7-1L259 SS240-8-2L255 SS220-10-1NNL41 SS215-7-1NL534 RR210-10-5S

BN240-7-1L287 SS240-8-2L276 SS220-10-1NNL52 SS215-7-1NL523 RR210-10-5N

BN240-7-1L337 SS240-8-2L308 SS220-10-1NNL64 SS215-7-1NL509 RS210-10-1L25

BN240-7-1L396 SS240-8-2L318 RR220-10-4S SS215-7-1NL492 RS210-10-1L33

BN240-7-1L419 SS240-8-2L346 RR220-10-4N SS215-7-1NL479 RS210-10-1L76

BN240-7-1L441 SS240-8-2L364 RR220-10-3S SS215-7-1NL466 RS210-10-1L204

BN240-7-1L471 SS266-9-1SL192 RR220-10-3N SS215-7-1NL451 RS210-10-1L273

BN240-7-1L502 SS266-9-1SL183 SS220-10-1NL41 SS215-7-1NL437 RS210-10-1NSL60

BN240-7-1L526 SS266-9-1SL150 SS220-10-1NL29 SS215-7-1NL418 RS210-10-1NSL34

SS244-8-1L187 SS266-9-1SL130 SS220-10-1NL13 SS215-7-1NL391 RR210-10-3S

SS244-8-1L164 SS266-9-1SL109 RR220-10-3N1 SS215-7-1NL373 RR210-10-3N

SS244-8-1L139 SS266-9-1SL80 KV220-5S SS215-7-1NL358 RS210-10-1NNL27

SS244-8-1L120 SS266-9-1SL53 KV220-5N SS215-7-1NL328 RS210-10-1NNL45

SS244-8-1L114 SS266-9-1SL15 RR220-5-2-1N SS215-7-1NL298 RS210-10-1NNL58

SS244-8-1L96 SS266-9-1SL00 RR220-4-1-1S SS215-7-1NL282 RS210-10-1NNL72

SS244-8-1LN90 SS266-9-1SL01 RR220-4-1-1N SS215-7-1NL253 RS210-10-1NNL80

SS240-9-1L173 SS266-9-1NL00 SS220-4-1L27 SS215-7-1NL223 RR210-10-2SL30

SS240-9-1L155 SS266-9-1NL13 SS220-4-1L54 SS215-7-1NL199 RR210-10-2SL14

SS240-9-1L145 SS266-9-1NL50 SS220-4-1L91 SS215-7-1NL170 RR210-10-2S


SS240-9-1L129 SS266-9-1NL66 SS220-4-1L103 SS215-7-1NL139 RR210-10-2N

SS240-9-1L119 SS266-9-1NL94 SS220-4-1L114 SS215-7-1NL116 RR210-10-2NL10



SS240-9-1L74 SS266-9-1NL172 SS220-4-1L189 SS215-7-1NL51 KSL210-7-2S

SS240-9-1L58 SS266-9-1NL198 SS220-4-1L202 SS215-7-1NL35 SS210-7-2L35

SS240-9-1L40 SS266-9-1NL227 SS220-4-2L182 SS215-7-1NL41 SS210-7-2L22

SS240-9-1L22 SS266-9-1NL257 SS220-4-2L152 RV200_228-6-1S SS208-7-2L38

SS240-9-1LN10 SS266-9-1NL281 SS220-4-2L131 RV200_228-6-1N SS208-7-2L42

SS252-9-1SL113 SS266-9-1NL299 SS220-4-2L103 SS215-6-1L29 SS208-7-2L54



SS252-9-1SL47 SS266-9-1NL347 SS220-4-2SL70 SS215-6-1L131 SS208-7-2L132

SS252-9-1SL20 SS266-9-1NL362 SS220-4-2SL52 SS215-6-1L161 SS208-7-2L158

SS252-9-1L140 SS266-9-1NL374 SS220-4-2SL32 SS215-6-1L174 SS208-7-2L172

SS252-9-1L175 SS266-9-1NL391 SS220-4-2SL12 SS215-6-1L197 SS208-7-2L190

SS252-9-1L203 RR230-10-6S SS220-4-2NL12 SS222-7-2SL389 SS208-7-2L216

SS252-9-1L233 RR230-10-6N SS220-4-2NL50 SS222-7-2SL359 SS208-7-2L246

SS252-9-1L245 VHV200_240-10-2S SS220-4-2NL75 SS222-7-2SL336 SS208-7-2L260

SS252-9-1L258 RR230-10-1S SS220-4-2NL100 SS222-7-2SL313 SS208-7-2NSL54

SS252-9-1L277 RR230-10-1N SS220-4-2NL130 SS222-7-2SL281 SS208-7-2NSL10

SS252-9-1L311 RR230-10-2S SS220-4-2NL150 SS222-7-2SL249 SS208-7-2NL10

SS252-9-1L346 RR230-10N SS220-4-2NL175 SS222-7-2SL217 SS210-7-2V2S

SS252-9-1L364 RR230-10-3S SS220-4-2NL200 SS222-7-2SL170 RR208-7-2-1S

SS252-9-1L401 RR230-10-3N SS220-4-2NL220 SS222-7-2SL155 RR208-7-2-1N

SS252-9-1L427 RR230-10-4S SS220-4-2NL245 SS222-7-2SL129 SS210-7-1L577

SS252-9-1L448 RR230-10-4N SS220-4-2NL270 SS222-7-2SL113 SS210-7-1L547

SS252-9-1L466 SS230-10-1E SS215-7-2SL770 SS222-7-2SL92 SS210-7-1L519

SS252-9-1L483 SS230-10-1W SS215-7-2SL745 SS222-7-2SL57 SS210-7-1L476

SS252-9-1L498 SS230-9-1L28 SS215-7-2SL720 SS222-7-2SL25 SS210-7-1L445

SS252-9-1L541 KV230-9S2 SS215-7-2SL695 SS222-7-2SL10 SS210-7-1L431

RR259-8-2S KV230-9N2 SS215-7-2SL664 SS222-7-2L631 SS210-7-1L414

RR259-8-2N SS230-9-1N SS215-7-2SL641 SS222-7-2L600 SS210-7-1L386

SS240-8-1L280 KV230-9S1 SS215-7-2SL615 SS222-7-2L569 SS210-7-1L365

RR240-8-4L44 KV230-9N1 SS215-7-2SL591 SS222-7-2L536 SS210-7-1L339

RR240-8-4L60 RS228-7-2L528 SS215-7-2SL571 SS222-7-2L518 SS210-7-1L326



RR240-8-4LN RS228-7-2L470 SS215-7-2SL503 SS222-7-2L445 SS210-7-1L275

SS240-8-1L53 RS228-7-2L459 SS215-7-2SL480 SS222-7-2L416 SS210-7-1L252










RR240-8-1L49 RS228-7-2L275 SS215-7-2SL240 SS222-7-2L126 V200_228-6-1SL7

RR240-8-1L76 RS228-7-2L259 SS215-7-2SL235 SS222-7-2L105 V200_228-6-1NL7










SS240-9-2L104 RS228-7-2L45 SS215-7-2SL35 SS222-7-1L405 SS208-4-1SL240

SS240-9-2L65 SS220-10-1L279 SS215-7-2NL50 SS222-7-1L350 SS208-4-1SL217


SS240-9-2LN SS220-10-1L226 SS215-7-2NL83 SS222-7-1L275 SS208-4-1SL166

SS259-9-1SL61 SS220-10-1L189 SS215-7-2NL100 SS222-7-1L263 SS208-4-1SL154







SS259-9-1L85 SS220-10-1L28 SS215-7-2NL273 SS222-7-1L98 SS208-4-1NL27

SS259-9-1L110 RR220-10-9S SS215-7-2NL302 SS222-7-1L80 SS208-4-1NL55

SS259-9-1L148 RR220-10-9N SS215-7-2NL330 SS222-7-1L28 SS208-4-1NL74

SS259-9-1L177 SS220-10-1SL124 SS215-7-2NL344 SS222-6-1L34 SS208-4-1NL90

SS259-9-1L190 SS220-10-1SL111 SS215-7-2L130 SS222-6-1L56 SS208-4-1NL124





SS259-9-1L280 RR220-10-8S SS215-7-2L20 SS222-6-1L174 SS208-4-1NL203

SS259-9-1L300 RR220-10-8N SS215-7-1L545 SS222-6-1L190 SS208-4-1NL231

SS259-9-1L319 SS220-10-1SSL75 SS215-7-1L507 SS222-6-1L206 SS208-4-2SL171

SS259-9-1L339 SS220-10-1SSL42 SS215-7-1L480 SS222-6-1L230 SS208-4-2SL153

SS259-9-1L354 RR220-10-7S SS215-7-1L452 SS222-6-1L257 SS208-4-2SL140

SS259-9-1L391 RR220-10-7N SS215-7-1L434 RS210-10-1LS400 SS208-4-2SL115

SS259-9-1L412 SS220-10-1SNL22 SS215-7-1L401 RS210-10-1LS382 SS208-4-2SL86



BS240-8-1L200 SS220-10-1SNL80 SS215-7-1L310 RS210-10-1LS310 SS208-4-2SL20

BS240-8-1L200E SS220-10-1SNL98 SS215-7-1L298 RS210-10-1LS291 SS208-4-2N


RR240-8-2LS SS220-10-1SNL130 SS215-7-1L284 RS210-10-1LS259 SS208-4-2NL15

RR240-8-2L52 SS220-10-1SNL140 SS215-7-1L258 RS210-10-1LS237 SS208-4-2NL28

RR240-8-2L83 SS220-10-1SNL168 SS215-7-1L247 RS210-10-1LS220 SS208-4-2NL45

SS240-8-2LS SS220-10-1SNL181 SS215-7-1L150 RS210-10-1LS203 SS208-4-2NL113

SS240-8-2L75 SS220-10-1NSL81 SS215-7-1L123 RS210-10-1LS181 SS208-4-2NL190




SS240-8-2L177 SS220-10-1NSL13 SS215-7-1L30 RS210-10-1LS99

SS240-8-2L192 RR220-10-6S OV200_222-7-1S RS210-10-1LS83


RS175-22-1L695 RS175-20-1L630 RS182-20-1L80 RS175-19-1L1118 RS210-10-1L857

RS175-22-1L684 RS175-20-1L652 RS182-20-1L36 RS175-19-1L1105 RS210-10-1L809

RS175-22-1L657 RS175-20-1L677 ORT182-20-3N RS175-19-1L1078 RS210-10-1L776

RS175-22-1L633 RS175-20-1L705 ORT182-20-3S RS175-19-1L1050 RS210-10-1L740


RS175-22-1L593 RS175-20-1L760 ORT182-20-2N RS175-19-1L983 RS210-10-1L685


RS175-23-1L537 RS175-20-1L818 ORT182-20-1SB RS175-19-1L927 RS210-10-1L636

RS175-23-1L506 RS182-1L1407 ORT182-20-3N1 RS175-19-1L894 RS210-10-1L623

RS175-23-1L484 RS182-1L1376 ORT182-20-3S1 RS175-19-1L868 RS210-10-1L610

RS175-23-1L460 RS182-1L1343 ORT182-19-2SB RS175-19-1L844 RS210-10-1L583

RS175-23-1L440 RS182-1L1327 RS182-21-1L32 ORT175-1N RS210-10-1L543

RS175-23-1L411 RS182-1L1293 RS182-21-1L56 ORT175-1S RS210-10-1L501

RS175-23-1L380 RS182-1L1259 RS182-21-1L88 RS185-25-2NL190 RS210-10-1L476










RS175-23-1L120 RS182-1L921 RS182-21-1L413 RS185-25-2N RS208-7-2L446

RS175-23-1L100 RS182-1L892 ORT182-21-2N RS185-25-2S RS208-7-2L420

RS175-23-1L75 RS182-1L866 ORT182-21-2S RS185-25-2SL13 RS208-7-2L395

RS175-24-1L52 RS182-1L840 ORT182-21-3N RS185-25-2SL35 RS208-7-2L356

RS175-24-1L35 RS182-1L808 ORT182-21-3S RS185-25-2SL62 RS208-7-2L327

RS175-24-1L15 RS182-1L774 ORT182-21-1N RS185-25-2SL96 RS208-7-2L305


ORT175-24-3N RS182-1L744 ORT182-21-1S RS185-25-2SL122 RS208-7-2L290

ORT175-24-3S RS182-1L710 ORT182-22-1N RS185-25-2SL147 RS208-7-2L266

RS175-24-1SL20 RS182-1L678 ORT182-22-1 RS185-25-2SL175 RS208-7-2L241

RS175-24-1SL50 RS182-1L645 ORT182-22-1L127 RS192-22L141 RS208-7-2L218

RS175-24-1SL67 RS182-1L614 ORT182-22-1S RS192-22L115 RS208-7-2L186

RS175-24-1SL88 RS182-1L586 ORT182-22-1L165 RS192-22L89 RS208-7-2L172

RS175-24-1SL124 RS182-1L554 RS182-22-1L174 RS192-22L63 RS208-7-2L145

ORT175-24-2N RS182-1L523 RS182-22-1L142 RS192-23L51 RS208-7-2L110

ORT175-24-2S RS182-1L496 RS182-22-1L107 RS192-23L27 RS208-7-2L62

ORT175-24-1N RS182-1L477 RS182-22-1L79 RS192-23SL28 RS208-7-2L32

ORT175-24-1S RS182-1L445 RS182-22-1L44 RS192-23S RS208-7-2L10

ORT175-25-2N RS182-1L415 RS182-22-1L16 VHS192-24N RR220-10-12S

ORT175-25-2S RS182-1L400 ORT182-22-2N VHS192-24S RR220-10-12N

RS175-25-2NL122 RS182-1L378 ORT182-22-2S RS192-25-1L407 RR220-10-11S

RS175-25-2NL97 RS182-1L357 RS182-23-1L28 RS192-25-1L392 RR220-10-11N

RS175-25-2NL71 RS182-1L338 RS182-23-1L46 RS192-25-1L360 RS220-10-1SSNL18

RS175-25-2SL21 RS182-1L315 RS182-23-1L78 RS192-25-1L330 RS220-10-1SSNL44

RS175-25-2L210 RS182-1L293 RS182-23-1L92 RS192-25-1L281 RS220-10-1SSNL65





RS175-25-2L78 RS182-1L136 RS182-23-1L200 RS192-25-1L154 RS220-10-2E

RS175-25-2L54 RS182-1L90 RS182-23-1L228 RS192-25-1L124 RS220-10-2L92



ORT175-25-5N PDH182N RS182-23-1L300 RS192-25-1L55 RR220-8-1N

ORT175-25-5S PDH182S RS182-23-1L318 RS192-25-1L32 RR220-8-1S

RS175-25-1L15 RS182-2NL345 RS182-23-1L340 VHS192-25N RSS220-10-1NL24

RS175-25-1L30 RS182-2NL323 RS182-23-1L370 VHS192-25S RSS220-10-1L18

RS175-25-1L51 RS182-2NL300 RS182-23-1L405 RS192-25-1SL32 RSS220-10-1L45

RS175-25-1L79 RS182-2NL274 RS182-23-1L441 RS192-23-1L259 RSS220-10-1L72




RS175-25-1L187 RS182-2NL172 RS182-24-1L110 RS192-23-1L105 RR220-8-2S

RS175-25-1L229 RS182-2NL150 RS182-24-1L126 RS192-23-1L70 RR220-8-2N

RS175-25-1L259 RS182-2NL127 RS182-24-1L152 RS192-23-1L32 RR220-9-1S

RS175-25-1L285 RS182-2NL108 RS182-24-1L190 RS192-23-1N RR220-9-1N

RS175-25-1L313 RS182-2NL86 RS182-24-1L211 RS192-23-1S SS230-10-1L784


RS175-25-1L339 RS182-2NL62 RS180-24-1L163 RS192-24-1L47 SS230-10-1L762



RS175-25-1L392 ORT182-18-1N RS180-24-1L93 RS192-24-1L118 SS230-10-1L638

RS175-25-1L418 ORT182-18-1S RS180-24-1L65 RS192-24-1L158 SS230-10-1L611

RS175-25-1L448 RS182-2SL23 RS180-24-1L30 RS192-24-1L193 SS230-10-1L592

RS175-25-1L473 RS182-2SL36 RS180-24-1L15 RS192-24-1L228 SS230-10-1L576

RS175-25-1L510 RS182-2SL72 RS180-24-1SL15 RS192-24-1L262 SS230-10-1L551

RS175-25-1L536 RS182-2SL106 RS180-25-1NL111 RS192-24-1L304 SS230-9-1L527


RS175-25-1L594 RS182-2SL173 RS180-25-1NL63 VHS192-24NE SS230-9-1L483



ORT175-27-1N RS182-2SL251 RS180-25-1NL15 RS192-25-2L100 SS230-9-1L435

ORT175-27-1S RS182-2SL276 RS180-25-1SL17 RS192-25-2L78 SS230-9-1L413

RS175-21-1SL20 RS182-1ES156 RS180-25-1SL43 RS192-25-2L53 SS230-9-1L402

ORT175-21-1N RS182-19-1L30 RS180-25-1SL78 RS192-25-2L26 SS230-9-1L377

ORT175-21-1S RS182-19-1L61 RS180-25-1SL100 RS192-25-2N SS230-9-1L354

RS175-21-1L32 RS182-19-1L92 RS180-25-1SL124 RS192-25-2S SS230-9-1L339

RS175-21-1L72 RS182-19-1L125 RS180-25-1SL148 RS192-25-2SL17 SS230-9-1L327

RS175-21-1L102 RS182-19-1L175 RS180-25-1SL184 RS192-25-3L86 SS230-8-1L302

RS175-21-1L120 RS182-19-1L192 RS180-27-1NL98 RS192-25-3L76 SS230-8-1L265

RS175-21-1L154 RS182-19-1L224 RS180-25-1NL76 RS192-25-3L50 SS230-8-1L252

ORT175-21-2S RS182-19-1L256 RS180-27-1NL63 RS192-25-3L20 SS230-8-1L229

ORT175-21-2N RS182-19-1L287 RS180-25-1NL40 RR192-25N SS230-8-1L206

RS175-21-1NL19 RS182-19-1L318 RS180-27-1NL15 RR192-25S SS230-8-1L192

RS175-21-1NL106 RS182-19-1L330 RS180-25-1SL28 RS192-25-3SL26 SS230-8-1L162








RS175-20-1L305 RS182-20-1L568 RS180-25-1SL167 RS192-26-3SL196 RR230-8-1S

RS175-20-1L330 RS182-20-1L598 RS180-25-1SL188 RS210-10-1L1067 RR230-8-1N

RS175-20-1L345 RS182-20-1L355 RS175-18-1L1376 RS210-10-1L1051 RR230-8-2S

RS175-20-1L370 RS182-20-1L335 RS175-18-1L1326 RS210-10-1L1033 RR230-8-2N

RS175-20-1L415 RS182-20-1L310 RS175-18-1L1295 RS210-10-1L993 RR230-9-1S

RS175-20-1L439 RS182-20-1L275 RS175-18-1L1265 RS210-10-1L974 RR230-9-1N


RS175-20-1L485 RS182-20-1L240 RS175-19-1L1230 RS210-10-1L952

RS175-20-1L513 RS182-20-1L206 RS175-19-1L1203 RS210-10-1L936

RS175-20-1L540 RS182-20-1L170 RS175-19-1L1177 RS210-10-1L910

RS175-20-1L588 RS182-20-1L138 RS175-19-1L1147 RS210-10-1L885


0150-24-1N RS155-20L28 RS167-17-2L176 RS169-23L215 RS180-27-2L82

0150-24-1S RS155-20L44 RS167-17-2L198 RS169-23L242 RS180-27-2L94

D175-29-1S RS155-20L73 RS167-17-2L237 RS169-23L269 RS180-28-1L0

KV167-1N RS155-20LS20 RS167-17-2L263 RS169-23L296 RS180-28-1L124

KV167-1S RS155-20NL RS167-17-2L285 RS169-23L32 RS180-28-1L146

O150-17-11N RS155-20NL104 RS167-17-2L30 RS169-23L59 RS180-28-1L170

O150-17-11S RS155-20NL131 RS167-17-2L305 RS169-23L91 RS180-28-1L31

O150-17-12N RS155-20NL158 RS167-17-2L329 RS169-23NL29 RS180-28-1L67

O150-17-12S RS155-20NL187 RS167-17-2L349 RS175-15-1L1253 RS180-28-1L97

O150-18-1N RS155-20NL212 RS167-17-2L371 RS175-15-1L1279 RS180-28-1NL0

O150-18-1S RS155-20NL30 RS167-17-2L394 RS175-15-1L1303 RS180-28-1NL21

O150-18-2N RS155-20NL47 RS167-17-2L424 RS175-15-1L1327 RS180-28-2L0

O150-18-2S RS155-20NL76 RS167-17-2L450 RS175-16-1L1025 RS180-28-2L105

O150-18-31N RS155-20SL RS167-17-2L475 RS175-16-1L1038 RS180-28-2L130

O150-18-31S RS155-23L101 RS167-17-2L53 RS175-16-1L1056 RS180-28-2L185

O150-18-32N RS155-23L132 RS167-17-2L80 RS175-16-1L1093 RS180-28-2L41

O150-19-1N RS155-23L161 RS167-17-2L97 RS175-16-1L1121 RS180-28-2L64

O150-19-1S RS155-23L179 RS167-17-3L187 RS175-16-1L1153 RS180-28-2L91

O150-20-1N RS155-23L228 RS167-17-3L210 RS175-16-1L1177 RS180-28-2NL0

O150-20-1S RS155-23L252 RS167-17-3L233 RS175-16-1L1202 RS180-28-2NL29

O150-20-2N RS155-23L275 RS167-17-3L264 RS175-16-1L1227 RS180-28-2NL49

O150-20-2S RS155-23L285 RS167-17-3L286 RS175-16-1L748 RS180-28-2NL63

O150-20-3N RS155-23L323 RS167-17-3L310 RS175-16-1L787 RS180-29L29

O150-20-3S RS155-23L342 RS167-17-3L332 RS175-16-1L810 RS180-29L50

O150-21-1N RS155-23L36 RS167-17-3L356 RS175-16-1L841 RS180-29NL14

O150-21-1S RS155-23L363 RS167-17-3L382 RS175-16-1L861 RS180-29SL41

O150-22-2N RS155-23L396 RS167-17-3L408 RS175-16-1L885 RS180-29SL81

O150-22-2S RS155-23L430 RS167-17-3L438 RS175-16-1L911 RS180-29SNL0

O150-23-1N RS155-23L469 RS167-17-3L470 RS175-16-1L939 RS180-29SSL0

O150-23-1S RS155-23L518 RS167-17-3L498 RS175-16-1L966 RS180-29VBV29-1N

O150-23-2N RS155-23L52 RS167-17-3L522 RS175-16-1L992 RS180-29VBV29-1S

O150-23-2S RS155-23L74 RS167-17-3L549 RS175-17-1L215 RS180-30L0

O150-24-2N RS155-23LN RS167-17L498 RS175-17-1L248 RS180-30L107

O150-24-2S RS155-23LN42 RS167-17L510 RS175-17-1L286 RS180-30L129


O175-18-1N RS155-23LS RS167-17L534 RS175-17-1L314 RS180-30L150

O175-18-1S RS160-19L116 RS167-17L555 RS175-17-1L347 RS180-30L36

O175-18-2N RS160-19L138 RS167-17L576 RS175-17-1L384 RS180-30L46

O175-18-2S RS160-19L163 RS167-17L587 RS175-17-1L426 RS180-30L61

O175-28-1N RS160-19L193 RS167-17L615 RS175-17-1L465 RS180-30L83

O175-28-3N RS160-19L215 RS167-17L636 RS175-17-1L498 RS180-30NL0

O175-28-3S RS160-19L29 RS167-17L667 RS175-17-1L531 RS180-30NL103


O175-28-4S RS160-19L72 RS167-17L720 RS175-17-1L597 RS180-30NL172


O175-28-5S RS160-19LN RS167-17L769 RS175-17-1L669 RS180-30NL213

O175-28-6N RS160-19LS RS167-17L804 RS175-17-1L708 RS180-30NL32

O175-28-6S RS160-19NL109 RS167-17L833 RS175-17-2L103 RS180-30NL47

O175-29-1N RS160-19NL131 RS167-17L855 RS175-17-2L111 RS180-30NL62

O175-29-1S RS160-19NL155 RS167-17L895 RS175-17-2L29 RS180-30NL81

O175-29-2N RS160-19NL177 RS167-17L921 RS175-17-2L45 RS180-30SL116

O175-29-2S RS160-19NL207 RS167-17L953 RS175-17-2L71 RS180-30SL134

O175-29N RS160-19NL230 RS167-17L996 RS175-17-2L81 RS180-30SL155

O175-29S RS160-19NL25 RS167-18-2L103 RS175-17-2LS12 RS180-31L0

O175-2N RS160-19NL251 RS167-18-2L34 RS175-17-2LS30 RS180-31L101

O175-2S RS160-19NL280 RS167-18-2L71 RS175-17-3L101 RS180-31L124

O175-30-1N RS160-19NL301 RS167-18-2LN RS175-17-3L126 RS180-31L145

O175-30-1S RS160-19NL47 RS167-18-2LS RS175-17-3L145 RS180-31L165

O175-31-1N RS160-19NL66 RS167-18L119 RS175-17-3L159 RS180-31L194

O175-31-1S RS160-19NL86 RS167-18L130 RS175-17-3L185 RS180-31L204

PS175-2N1 RS160-20L103 RS167-18L154 RS175-17-3L219 RS180-31L218

PS175-2N2 RS160-20L123 RS167-18L177 RS175-17-3L240 RS180-31L233

PS175-2S1 RS160-20L168 RS167-18L200 RS175-17-3L275 RS180-31L24

PS175-2S2 RS160-20L175 RS167-18L230 RS175-17-3L30 RS180-31L248

RO150-25-1N RS160-20L200 RS167-18L258 RS175-17-3L302 RS180-31L266

RO150-25-1S RS160-20L223 RS167-18L282 RS175-17-3L327 RS180-31L290

RR175-15-1N RS160-20L244 RS167-18L30 RS175-17-3L357 RS180-31L316

RR175-15-1S RS160-20L276 RS167-18L305 RS175-17-3L65 RS180-31L338

RS150-17-1L188 RS160-20L29 RS167-18L339 RS175-18-1L1422 RS180-31L364


RS150-17-1L231 RS160-20L327 RS167-18L392 RS175-18-1NL113 RS180-31L45

RS150-17-1L254 RS160-20L345 RS167-18L408 RS175-18-1NL148 RS180-31L70

RS150-17-1L289 RS160-20L80 RS167-18L420 RS175-18-1NL176 RS180-31NL0




RS150-17-1L359 RS163-23L163 RS167-18L473 RS175-18-2L10 RS180-31NL65


RS150-17-1L402 RS163-23L222 RS167-18L93 RS175-18-2L126 RS184-15-1L122





RS150-18-1L70 RS163-23SL34 RS167-19L185 RS175-18-2L203 RS184-15-1L25









RS150-18-2SL27 RS166-24SL20 RS167-19L395 RS175-28-2LN30 RS192-31L188

RS150-18L123 RS166-24SL30 RS167-19L421 RS175-28L112 RS192-31L212

RS150-18L150 RS167-15L1498 RS167-19L444 RS175-28L133 RS192-31L232







RS150-18SL40 RS167-16L1034 RS167-20L584 RS175-28L65 RS192-31L398

RS150-19-1L111 RS167-16L1060 RS167-20L609 RS175-28L94 RS192-31L419

RS150-19-1L145 RS167-16L1084 RS167-20L639 RS175-28NL25 RS192-31L430





RS150-19-1L58 RS167-16L1212 RS167-20L817 RS180-27-1L182 VHS192-28-1N

RS150-19-1L73 RS167-16L1244 RS167-20L842 RS180-27-1L202 VHS192-28-1S

RS150-19-1SL20 RS167-16L1284 RS167-20L865 RS180-27-1L232 VHS192-28-2N

RS155-20L100 RS167-16L1316 RS167-20L891 RS180-27-1L254 VHS192-28-2S

RS155-20L117 RS167-16L1332 RS167-20L913 RS180-27-1L28 VHS192-29-2N



RS155-20L178 RS167-16L1421 RS167-20L985 RS180-27-2L122


RS155-20L203 RS167-16L1445 RS169-23L118 RS180-27-2L142

RS155-20L234 RS167-16L1471 RS169-23L146 RS180-27-2L17

RS155-20L253 RS167-17-2L153 RS169-23L194 RS180-27-2L55


ORT100-43-4S RS150-22L81 ORT150-30S RS136-43-2L247 RS160-18L177

ORT100-43-4N RS150-22SL32 RS150-30SL27 RS136-43-2L222 RS160-18L197

ORT100-43-1S RS150-23L200 RS150-30SL39 RS136-43-2L199 RS160-18L218

ORT100-43-1N RS150-23L180 RS150-30SL71 RS136-43-2L176 RS160-18L238

KV100-1S RS150-23L158 RS150-30SL107 RS136-43-2L153 RS160-17-2L628

KV100-1N RS150-23L134 RS150-30SL144 RS136-43-2L117 RS160-17-2L615

ORT100-42-5S RS150-23L108 RS150-30SL164 RS136-43-2L89 RS160-17-2L582

ORT100-42-5N RS150-23L81 ORT150-30-1N RS136-43-2L68 RS160-17-2L557

ORT100-42-4S RS150-23L42 ORT150-30-1S RS136-43-2L33 RS160-17-2L533

ORT100-42-4N RS150-23L18 RS150-31NL175 RRS136-43-1N RS160-17-2L503

RS100-42L25 RS150-24L14 RS150-31NL134 RRS136-43-1S RS160-17-2L476

ORT100-42-3S RS150-24L23 RS150-31NL101 RS136-43-2SL22 RS160-17-2L448

ORT100-42-3N RS150-24L55 RS150-31NL61 RS136-43-2SL33 RS160-17-2L415

RS100-42L27 RS150-24L77 RS150-31NL33 RS136-43-2SL54 RS160-17-2L385

ORT100-42-2S RS150-24L98 ORT150-31N RS136-43-2SL78 RS160-17-2L361

RS100-42L28 RS150-24L114 ORT150-31S RS136-43-2SL113 RS160-17-2L331

ORT100-41-1S RS150-24L142 RS150-31L33 RS136-43-2SL151 RS160-17-2L306

ORT100-41-1N RS150-24L164 ORT150-31-3N RS136-43-2SL189 RS160-17-2L272

RS100-41L41 ORT150-24-3N ORT150-31-3S RS136-43-2SL228 RS160-17-2L233

RS100-41L80 ORT150-24-3S ORT150-31-4N RS136-43-2SL267 RS160-17-2L194

RS100-41L131 ORT150-24-4N ORT150-31-4S RS136-43-2SL301 RS160-17-2L177

RS100-41L162 ORT150-24-4S RS150-31L22 RRS136-44-1N RS160-18-2L160

RS100-41L198 ORT150-25-3N RORT150-31N RRS136-44-1S RS160-18-2L135

ORT100-41-4S ORT150-25-3S RORT150-31S RS136-44-2L18 RS160-18-2L105

ORT100-41-4N ORT150-25-4N RS150-31SL35 RS136-44-2L56 RS160-18-2L75

ORT100-41-5S ORT150-25-4S RS150-31SL69 RS136-44-2L85 RS160-18-2L52

ORT100-41-5N ORT150-25-2N RS150-31SL104 RS136-44-2L103 RS160-18-2L30

RS100-41-1L153 ORT150-25-2S RS150-31SL142 RS136-44-2L150 RS160-18-2LN

RS100-41-1L173 ORT150-26-3N RS150-31SL185 RS136-44-2L179 RS160-18-2LS

RS100-41-1L203 ORT150-26-3S RS150-31SL203 RS136-44-2L207 RS160-18-2L24

RS100-41-1L226 ORT150-26-4N RS136-41-1L630 RS136-44-2L242 RS160-18L261

RS100-41-1L263 ORT150-26-4S RS136-41-1L587 RS136-44-2L262 RS160-18L279

RS100-41-1L297 ORT150-26-1N RS136-41-1L551 RS136-44-2L307 RS160-18L316

KV100-2S ORT150-26-1S RS136-41-1L506 RS136-44-2L331 RS160-18L338

KV100-2N RS150-26L220 RS136-41-1L464 RS136-44-2L361 RS160-18L352

TVSH100-1E2 RS150-26L192 RS136-41-1L433 RS136-44-2L397 RS160-18L369

TVSH100-1L223 RS150-26L161 RS136-41-1L403 RS136-44-2L421 RS160-18L336

TVSH100-1L265 RS150-26L130 RS136-41-1L269 RS159-24L157 RS160-18L308


TVSH100-1W2 RS150-26L96 RS136-41-1L334 RS159-24L127 RS160-25L218

ORT100-43-4S2 RS150-26L60 RS136-41-1L294 RS159-24L104 RS160-25L194

RS150-14L208 RS150-26L31 RS136-41-1L257 RS159-24L80 RS160-25L162

RS150-14L181 ORT150-26-2N RS136-41-1L221 RS159-24L62 RS160-25L132

RS150-14L153 ORT150-26-2S RS136-41-1L179 RS159-24L34 RS160-25L107



RS150-14W RS150-27L385 RS136-41-1L71 RS155-24L183 RS160-25L36


RS150-14L30 RS150-27L331 RS136-41L780 RS155-24L150 RS160-25LN

RS150-14N RS150-27L295 RS136-41L747 RS155-24L112 RS160-25LS

RS150-14S RS150-27L285 RS136-41L715 RS155-24L100 RS160-25SL35

RS150-14SL28 RS150-27L257 RS136-41L705 RS155-24L81 RS161-27NL222



ORT150-15-1N RS150-27L170 RS136-41L620 RS155-24L45 RS161-27NL163

ORT150-15-1S RS150-27L150 RS136-41L600 RS155-24L33 RS161-27NL146

ORT150-15-2N RS150-27L107 RS136-41L571 RS155-24L22 RS161-27NL123

RS150-15L118 RS150-27L79 RS136-41L548 RS155-25L10 RS161-27NL100



RS150-15L42 ORT150-27-2N RS136-41L491 RS155-25L50 RS161-27NL37

RS150-15L8 ORT150-27-2S RS136-41L456 RS155-25L72 RS161-27L35

RS150-15SL30 RS150-27SL28 RS136-41L429 RS155-25L99 RS161-27SL148



RS150-15L830 RS150-27SL88 RS136-42L352 RS155-25L147 RS161-27SL55

RS150-15L812 RS150-27SL122 RS136-42L325 RS155-25L167 RS161-27SL35

RS150-15L794 RS150-27SL165 RS136-42L295 RS155-25L192 RS161-1L38

RS150-15L770 ORT150-27-3N RS136-42L272 RS155-25L201 RS161-1L64









RS150-16L594 RS150-1L56 RS136-42L26 RS155-26SL12 RS167-25L230

RS150-16L566 RS150-1L45 KV136-1N RS155-26SL30 RS167-25L207

RS150-16L538 RS150-1L20 KV136-1S RS155-26SL66 RS167-25L190

RS150-16L512 ORT150-1N RS136-42SL26 RS155-26SL103 RS167-25L163

RS150-16L485 ORT150-1S RS136-42SL52 RS155-26SL134 RS167-25L137

RS150-16L473 RS150-1SL31 RS136-42SL70 RS155-26SL154 RS167-25L107


RS150-16L443 RS150-1SL71 RS136-42SL88 RS155-26SL183 RS167-25L78

RS150-16L413 RS150-1SL105 RS136-43L111 RS155-26SL221 RS167-25L39

RS150-16L377 RS150-1SL141 RS136-43L147 RS155-26SL270 VHS167-25-1N

RS150-16L351 RS150-1SL40 RS136-43L176 RS155-26SL289 VHS167-25-1S

RS150-16L313 ORT150-28-1N RS136-43L212 RS160-15-1L402 RS169-26L286

RS150-16L284 ORT150-28-1S RS136-43L243 RS160-15-1L368 RS169-26L262

RS150-16L260 RS150-28NL33 RS136-43L266 RS160-15-1L322 RS169-26L221






RS150-17L115 RS150-28NL190 RS136-43L443 RS160-16L207 RS169-26L92

RS150-17L90 ORT150-28-2N RS136-43L468 RS160-16L195 RS169-26L73



ORT150-17-1N RS150-28L50 RS136-43L558 RS160-16L121 RS169-27L30

ORT150-17-1S RS150-28L68 RS136-43L582 RS160-16L97 RS169-27L68





RS150-19-1L188 RS150-28L57 RS136-44L702 RS160-16LN RS169-27L192

RS150-19-1L200 RS150-28L27 RS136-44L732 RS160-16LS RS169-27L217

RS150-19-1L215 ORT150-28-3N RS136-44L755 RS160-16L25 RS169-27L237

RS150-17-2L463 ORT150-28-3S RS136-44L786 RS160-16L49 RS169-27L261

RS150-17-2L453 RS150-28SL26 RS136-44L813 RS160-16SL626 RS169-27SL187








RS150-17-2L173 ORT150-28-4S RS136-44L1028 RS160-17L441 RS169-1L43








RS150-22L534 ORT150-29N RS136-45L1259 RS160-17L230 RS163-26L230

RS150-22L504 ORT150-29S RS136-45L1303 RS160-17L204 RS163-26L207


RS150-22L482 RS150-29-1L39 RS136-45L1337 RS160-17L182 RS163-26L170







RS150-22L302 RS150-29-1L24 RS136-45L1574 RS160-17LN RS163-26LN

RS150-22L284 ORT150-29-1N RS136-45L1586 RS160-17LS RS163-26LS



RS150-22L233 RS150-30L132 KV136-2N RS160-18L73 RS163-27L98

RS150-22L217 RS150-30L100 KV136-2S RS160-18L91 RS163-27L111




RS150-22L110 ORT150-30N RS136-43-2L273 RS160-18L168 RS163-27L208

RS163-27L233


ORT100-43-3S RRS100-38-1L330 ORT100-34-2N ORT100-44-6N ORT100-54-6S

ORT100-43-3N RRS100-38-1L357 RS100-34L33 ORT100-44-6S RS100-54L30

RS100-43L15 RRS100-38-1L382 RS100-34L69 ORT100-45-1N ORT100-38-5EN

ORT100-43-2S RRS100-38-1L391 RS100-34L29 ORT100-45-1S ORT100-38-5ES

ORT100-43-2N RRS100-38-1L426 RS100-34L53 ORT100-45-2N ORT100-38-4EN

RS100-43L25 RRS100-38-1L451 RS100-34L70 ORT100-45-2S ORT100-38-4ES

RS100-43L41 RRS100-38-1L481 RS100-34LN11 ORT100-45-3N ORT100-38-2EN

RS100-42L15 ORT38-6N RS100-34LN43 ORT100-45-3S TVS100-2WQ2

RS100-42L22 RS100-37L ORT100-39-5-ES RS100-45L31 TVS100-2Q2

ORT100-41-6S ORT37-2S ORT100-39-5-EN ORT100-45-4N TVS100-2EQ2

ORT100-41-6N ORT37-2N RRS100-38L38 ORT100-45-4S TVS100-OBHN

ORT100-41-6N35 RS100-37L34 RRS100-38L75 ORT100-45-5N TVS100-OBHS

RS100-41-1L334 ORT37-3S RRS100-38L107 ORT100-45-5S ORT100-43-5NQ2

RS100-41-1L370 ORT37-3N RRS100-38L151 RS100-45SL31 ORT100-43-5SQ2

RS100-41-1L389 RS100-37L31 RRS100-38L172 ORT100-45-6N ORT100-43-6NQ2

RS100-41-1L419 RS100-36L6 RRS100-97L37 ORT100-45-6S ORT100-43-6SQ2


RS100-41-1L450 RS100-36L31 RRS100-97L84 RS100-45SL34 ORT100-44-1NQ2

RS100-41-1L485 RS100-36L54 RRS100-97L124 RS100-45SL74 ORT100-44-1SQ2

RS100-41-1L511 ORT36-2N RRS100-97L162 RS100-45SL111 ORT100-44-2NQ2


RS100-41-1L564 ORT36-3N RRS100-97L206 RS100-45SL162 ORT100-44-3NQ2







RS100-41-1L792 RS100-36L108 ORT100-96-1S ORT100-46-1N ORT100-44-6SQ2

RS100-41-1L817 RS100-36L125 RRS100-96L26 ORT100-46-1S ORT100-45-1NQ2

RS100-41-1L852 RS100-36L149 RRS100-96L0 ORT100-46-3N ORT100-45-1SQ2

RS100-41-1L882 RS100-36L183 RRS100-96L28 ORT100-46-3S ORT100-45-2NQ2

RS100-41-1L899 RS100-36L202 RRS100-96L65 RS100-47L41 ORT100-45-2SQ2

RS100-41-1L916 RS100-36L237 RRS100-96L105 ORT100-46-5N ORT100-45-3NQ2

RS100-39-1L939 RS100-36L257 RRS100-96L128 ORT100-46-5S ORT100-45-3SQ2

RS100-39-1L969 RS100-36L278 RRS100-96L169 RS100-47L40 ORT100-45-4NQ2

RS100-39-1L1004 RS100-36L296 RRS100-96L187 RS100-47L58 ORT100-45-4SQ2

RS100-39-1L1042 RS100-36L326 RRS100-96L208 RS100-47L30 RS125-44-2L590

RS100-39-1L1077 RS100-36L351 RRS100-96L244 ORT100-47-1N RS125-44-2L537

RS100-39-1L1110 RS100-35L11 RRS100-96L286 ORT100-47-1S RS125-44-2L497

RS100-39-1L1144 RS100-35L37 RRS100-96L316 RS100-47L33 RS125-44-2L447

RS100-39-1L1189 RS100-35L65 RRS100-96L349 ORT100-47-2N RS125-44-2L398

RS100-39-1L1224 RS100-35L102 RRS100-96L364 ORT100-47-2S RS125-44-2L357

RS100-39-1L1261 RS100-35L120 RS100-43SL29 ORT100-53-1N RS125-44-2L344

RS100-39-1L1296 RS100-35L142 RS100-43SL42 ORT100-53-1S RS125-45-2L293

RS100-39-1L1326 RS100-35L168 RS100-43SL55 ORT100-53-4N RS125-45-2L244

RS100-39-1L1362 RS100-35L191 RS100-43SL85 ORT100-53-4S RS125-45-2L138

RS100-39-1L1402 RS100-35L216 RS100-43SL105 ORT100-53-5N RS125-44L337


RS100-39-1L1442 RS100-35L233 RS100-43SL114 ORT100-53-5S RS125-44L312

RS100-38-1L1472 RS100-35LC73 RS100-43SL33 ORT100-53-6N RS125-44L293

RS100-38-1L1493 RS100-35LC111 ORT100-44-1N ORT100-53-6S RS125-44L276

RS100-38-1L1511 RS100-35LC125 ORT100-44-1S ORT100-54-1S RS125-44L257

RS100-38-1L1528 RS100-35LC145 RS100-44SL24 ORT100-54-2N RS125-44L225

RS100-38-1L1548 RS100-35LN12 RS100-44SL50 ORT100-54-2S RS125-44L197

ORT39-6S RS100-35LN40 RS100-44SL76 ORT100-54-3N RS125-44L171

ORT39-6N RS100-35LN89 RS100-44SL96 ORT100-54-3S RS125-44L144

RRS100-38-1LE RS100-35LN113 RS100-44SL122 ORT100-54-4N RS125-45L115

RRS100-38-1L200 RS100-35LN146 RS100-44SL148 ORT100-54-4S RS125-45L88

RRS100-38-1L218 RS100-35LN167 RS100-44SL275 RS100-54L25 RS125-45L64

RRS100-38-1L247 RS100-34L20 RS100-44SL298 ORT100-54-5N RS125-45L33

RRS100-38-1L257 ORT100-34-1S RS100-44SL326 ORT100-54-5S RS125-45LN

RRS100-38-1L280 ORT100-34-1N RS100-44SL347 RS100-54L26 RS125-45LS

RRS100-38-1L305 RS100-34L45 RS100-44SL366 ORT100-54-6N


3. Excluded Channel Samples


B204-1-1-1L1002 B204-1-1-1L1042 B204-1-1-1L1062 B204-1-1-1L1098 B204-1-1-1L1116

B204-1-1-1L1150 B204-1-1-1L1157 B204-1-1-1L1193 B204-1-1-1L1229 B204-1-1-1L1258

B204-1-1-1L531 B204-1-1-1L570 B204-1-1-1L605 B204-1-1-1L639 B204-1-1-1L672

B204-1-1-1L694 B204-1-1-1L733 B204-1-1-1L762 B204-1-1-1L798 B204-1-1-1L824

B204-1-1-1L847 B204-1-1-1L881 B204-1-1-1L917 B204-1-1-1L948 B204-1-1-1L982

B204-1-2-1L0 B204-1-2-1L1030 B204-1-2-1L1065 B204-1-2-1L1101 B204-1-2-1L1119

B204-1-2-1L1164 B204-1-2-1L147 B204-1-2-1L182 B204-1-2-1L219 B204-1-2-1L257

B204-1-2-1L296 B204-1-2-1L332 B204-1-2-1L372 B204-1-2-1L393 B204-1-2-1L40

B204-1-2-1L8 B204-1-2-1L835 B204-1-2-1L895 B204-1-2-1L935 B204-1-2-1L96

B204-1-2-1L977 B204-1-2-1L995 B204-1-3-1L135 B204-1-3-1L171 B204-1-3-1L208

B204-1-3-1L250 B204-1-3-1L285 B204-1-3-1L325 B204-1-3-1L360 B204-1-3-1L400

B204-1-3-1L435 B204-1-3-1L468 B204-1-3-1L503 B204-1-3-1L540 B204-1-3-1L591

B204-1-3-1L60 B204-1-3-1L620 B204-1-3-1L649 B204-1-3-1L677 B204-1-3-1L711

B204-1-3-1L745 B204-1-3-1L777 B204-1-3-1L806 B204-1-3-1L841 B204-1-3-1L876

B204-1-3-1L912 B204-1-3-1L946 B204-1-3-1L98 B204-1-3-1L980 BN204-1-3-1L126

BN204-1-3-1L164 BN204-1-3-1L213 BN204-1-3-1L231 BN204-1-3-1L265 BN204-1-3-1L296

BN204-1-3-1L333 BN204-1-3-1L350 BN204-1-3-1L386 BN204-1-3-1L422 BN204-1-3-1L458

BN204-1-3-1L479 BN204-1-3-1L497 BN204-1-3-1L85 O204MN O204MS

ON200-4-1 ON200-4-10 ON200-4-11 ON200-4-12 ON200-4-2

ON200-4-3 ON200-4-4 ON200-4-5 ON200-4-6 ON200-4-7

ON200-4-8 ON200-5-1 ON200-5-2 ON200-5-3 ON200-5-4

ON200-5-5 ON200-5-6 ON200-5-7 ON200-5-8 ON200-5-9

ON200-6-1 ON200-6-3 ON200-6-4 ON204-1-3-10 ON204-1-3-11

ON204-1-3-12 ON204-1-3-13 ON204-1-3-14 ON204-1-3-15 ON204-1-3-16

ON204-1-3-17 ON204-1-3-18 ON204-1-3-19 ON204-1-3-20 ON204-1-3-21

ON204-1-3-22 ON204-1-3-23 ONE204-1-2-3 ONE204-1-2-4 ONE204-1-3-10

ONE204-1-3-12 ONE204-1-3-9 ONW204-1-1-4 ONW204-1-2-1 ONW204-1-2-2

ONW204-1-2-3 ONW204-1-2-4 ONW204-1-2-5 ONW204-1-2-6 ONW204-1-3-7

ONW204-1-3-8 ONW204-1-3-9 OS200-4-1 OS200-4-2 OS200-4-3

OS200-4-4 OS200-4-5 OS200-4-6 OS200-4-7 OS200-4-9

OS200-5-3 OS200-6-1 OS200-6-3 OS200-6-4 OS204-1-3-10

OS204-1-3-11 OS204-1-3-12 OS204-1-3-13 OS204-1-3-14 OS204-1-3-15

OS204-1-3-16 OS204-1-3-17 OS204-1-3-18 OS204-1-3-19 OS204-1-3-20

OS204-1-3-21 OS204-1-3-22 OS204-1-3-23 OSE204-1-1-1 OSE204-1-1-2

OSE204-1-1-3 OSE204-1-1-4 OSE204-1-2-1 OSE204-1-2-2 OSE204-1-2-3

OSE204-1-2-4 OSE204-1-2-5 OSE204-1-2-6 OSE204-1-3-10 OSE204-1-3-12

OSE204-1-3-7 OSE204-1-3-8 OSE204-1-3-9 OSW204-1-2-3 OSW204-1-2-4

OSW204-1-2-5 OSW204-1-3-9 RN204-1 RN204-2 RN204-3

RN204-4 RN204-5 RN204-6 RS204-1 RS204-2

RS204-4 RS204-5 RS204-6 S1N-2050 S1N-2075

S1N-2100 S1N-2125 S1N-2150 S1N-2175 S1N-2200

S1N-2225 S1N-2250 S1N-2275 S1N-2300 S1N-2325

S1N-2350 S1N-2375 S1N-2400 S1N-2425 S1N-2450

S1N-2475 S1N-2500 S1N-2525 S1S-2050 S1S-2075


S1S-2100 S1S-2125 S1S-2150 S1S-2175 S1S-2200

S1S-2225 S1S-2250 S1S-2275 S1S-2300 S1S-2325

S1S-2350 S1S-2375 S1S-2400 S1S-2425 S1S-2450

S1S-2475 S1S-2500 S1S-2525 S2N-2025 S2N-2050

S2N-2075 S2N-2100 S2N-2125 S2N-2150 S2N-2175

S2N-2200 S2N-2225 S2N-2250 S2N-2275 S2N-2300

S2N-2325 S2N-2350 S2N-2375 S2N-2400 S2N-2425

S2N-2450 S2N-2475 S2N-2500 S2N-2525 S2S-2025

S2S-2050 S2S-2075 S2S-2100 S2S-2125 S2S-2150

S2S-2175 S2S-2200 S2S-2225 S2S-2250 S2S-2275

S2S-2300 S2S-2325 S2S-2350 S2S-2375 S2S-2400

S2S-2425 S2S-2450 S2S-2475 S2S-2500 S2S-2525

Table 37 Excluded channel samples


Appendix 2: TSG Laboratory Certificate


Appendix 3: JORC Code, 2012 Edition – Table 1

Section 1 Sampling Techniques and Data (Criteria in this section apply to all succeeding sections.)

Criteria Commentary

Sampling techniques

• The Asacha mineral resource estimate is based on diamond core drill sampling, as well as surface channel sampling and underground face samples.

• Diamond drill core sampling has been carried out by three different companies – CKGE in 1986-1990, TVX in 1994-1997, and TSG in 2004-2005 and again in 2012. All core was sampled to geological boundaries around logged vein intercepts, and used a nominal 1m sample interval outside of this. CKGE analysed full core samples, while TVX and TSG submitted half core samples for analysis. Since 2012 TSG reverted to whole core sample analysis as it was found that the sawing process was not always accurate.

• Surface channel samples were collected by CKGE between 1986 and 1990. Trenches were excavated down to bedrock along the length of the vein exposure, and samples collected by rock-chipping along lines perpendicular to the vein. Sample intervals honour vein boundaries or are of nominal 1m length. Lines average 3m apart. The steps taken to ensure representivity of the sample along the sampled lines is not known.

• Underground samples are collected from development drives, raises and walls by manual chipping along lines. It is reported that earlier samples were collected from a channel of nominal 5cm depth and 10cm width. However, the underground sampling observed by Seequent was typical of most underground sampling and involved collection by chipping along a marked line, with attention paid to ensuring that the volume collected is even along the axis of sampling to minimise bias. Sampling is to geological boundaries.

Drilling techniques

• All drill sampling is by diamond coring.

• Early diamond drill core sampling (1986-1990) by CKGE used conventional (non-wireline) single tube coring equipment. Core diameter ranged from 29 to 56mm. After logging full core samples were submitted for analysis. No photographs were taken.

• Diamond drilling between 1994 and 1997 by TVX used wireline twin tube equipment to retrieve samples of 47.6mm diameter. Core was sampled to vein boundaries or to 1m intervals. After logging, diamond saw cut ½ core samples were submitted for analysis.

• Drilling by TSG in 2004-2005, was done by AtlasCopco (DIamec-26 rig) and Boart Longyear (LM55 and LF70 rigs). During 2012 and 2016 was done by Boart Longyear LM75 rig.

• In 2017, the drilling was carried out by contractor Kolymageo using a Boart Longyear LF90 rig. All drilling was by wireline, using double tube barrels, and was of NQ diameter.

• Core is not orientated.


Criteria Commentary

Drill sample recovery

• Recovery information for earlier drill samples was not available. Drill sample recovery of the 2004-2005 TSG drilling averages 98%.

• Core photos of holes drilled during 2012 from the eastern zone show that while core is moderately broken, the recovery is high with no systematic losses in ore zones apparent. Drill core recovery for the 2016 drilling campaign averages 99%. The poorest recoveries within the 2016 dataset (<90%) were investigated and were all found to be in excess of 50m from the intersected mineralisation and therefore of no risk.

• The contractor is paid for metres drilled in order to ensure quality over quantity the contract stipulates core recovery of not less than 95% within the mineralised zones and not less than 85% in the host rock.

• The sample recovery is affected by the type of structure and alteration of the zone intercepted. Grades were much lower than expected from the underground drilling campaign carried out in 2017. The campaign targeted high grades shoots where the veins are locally thickened and argillic alteration is prevalent. It was observed in the core that the mineralisation had been mostly washed out by the drilling process therefore from March 2018, the core diameter will be changed from NQ to HQ to help alleviate the problem. Increasing the core diameter would also produce a more representative sample for the deposit type consisting of high grade narrow veins.

• The issue of drill sample recovery was given considerable attention in reports by previous authors, as it was considered a possible source of bias in early generation data. This issue remains unresolvable, but the risk of any gross bias due to core loss has been diminished significantly by ongoing mining production and sampling, and is not considered a source of significant risk to resource estimates.

Logging • Geological logging consists primarily of identification of vein intersections.

• The logging is carried out on 1m intervals on pre-printed sheets for the hole length of the core. The following data is logged: core recovery, RQD, hardness (on Mohs hardness scale), mineral assemblages on a scale of 1-3, angle of veins, no. of veins, % of veins. All core is photographed (wet).

• It would be valuable to TSG to consistently re-log the host rock lithologies and construct a 3D model of the host rock geology. TSG agree in principle to the construction of a 3D geological model and have agreed to provide the geological data with all new verified core in order to create a 3D model. TSG are considering re-logging historical core to aid this.

Sub-sampling techniques and sample preparation

• Whole core sampling commenced in 2012, prior to this half core was submitted which was cut by saw. The change to whole core was implemented based on the inaccurate sawing of the core, which was in part attributed to the NQ diameter, and loss of sample from the process of sawing.

• Mineralised intervals are sent for assay with 3m of host rock other side.

• The initial core sample weight is around 5-7kgs, after the first crush in the laboratory, a 1kg sample is taken for the assay. The remaining crushed core is sent back to the core shed where it is retained for 3-4 years.

• Sample preparation of all drilling samples reportedly conforms to a flowchart of drying, jaw crushing, splitting pulverizing, and pulp aliquot selection. Previous authors have examined the processes employed, and conclude that they are appropriate and conform to industry standard practices.


Criteria Commentary

• The surface and underground channel sampling undertaken by CKGE reportedly used the same procedure as for diamond drilling.

• Underground channel sampling conducted by TSG since mining commenced in 2010 has been processed at the on-site laboratory. The sample preparation flowchart is very similar to that used for diamond core:

o Drying at 105°C

o Jaw crush to 3mm

o Sample reduction to 2 x 0.5kg samples using rotary splitter

o Pulverise to ~90% passing 75µm using a continuous ring mill

• Seequent inspected the on-site laboratory and found it to be clean, well equipped and diligently operated.

• Seequent note that there is potential for cross sample contamination in continuous ring mills. At present no control is employed for assessing the presence of this.

Quality of assay data and laboratory tests

• All CKGE diamond drill samples were analysed for Au and Ag by the Geological Survey Laboratory in Milkovo, Kamchatka. Samples were first analysed for Au by X-ray spectral analysis, then all samples with concentrations above detection also analysed by Fire Assay (50g charge) with gravimetric finish.

• All TVX drill samples were analysed for Au and Ag by KamchatGeologia Laboratory in Petropavlovsk, Kamchatka, using the same procedure as for CKGE.

• TSG diamond drill samples were all analysed at KamchatGeologia Laboratory using the same procedure as for TVX samples.

• The quality of historic (pre-TSG) data has been discussed in considerable detail in previous reports, the most recent summary being Hatch (2006). Seequent were not provided with any of the historic QC data, and have not undertaken any further analysis. Hatch (2006, p41) concluded that “it is unlikely that there are any significant issues relating to the sample preparation and analytical work completed by the Milkovo and PK (KamchatGeologia) laboratories. However, Hatch considers that significantly more QA/QC data should have been collected and assessed as the TVX programme progressed”. Seequent agrees with Hatch’s assessment that ‘both the sample preparation and assaying procedures used for the CKGE and TVX samples are appropriate for this ore-body. They are consistent with industry practice’. In Seequent’s opinion this data is suitable for the purpose of resource estimation and supports the levels of classification applied.

• No information was available to Seequent regarding TSG’s 2004/2005 diamond drilling, and no information specifically relating to 2012 drilling on the Eastern zones is available either. Based on total drilling metres, the diamond drill data acquired by TSG (including the Eastern zone) comprises 41% of total diamond drill metres. However, much of this drilling is extensional and exploratory in nature and is not directly included in resource estimates. When only data immediately relevant to resource estimates are considered, TSG diamond drill data makes up 10% of holes, and 10% of total diamond core vein metres used in estimation.

• The lack of QC data available for TSG’s diamond drilling is a concern. While there is no reason to suspect the validity/quality of the TSG diamond drill data, the lack of QA and QC data diminishes the confidence that can be placed in this data. In mitigation, the mining history


Criteria Commentary

and reconciliation do not show any evidence of material problems in the historic data. No biases are apparent in sampling as diamond intercepts are progressively superseded by channel sampling in the underground workings.

• Seequent have analysed the QC data collected during analysis of TSG underground face samples at the on-site laboratory. QC is managed by the laboratory.

• Accuracy is assessed using certified reference materials (CRMs) inserted into batches at the rate of 2 per batch of 24 samples. Two CRM’s were in use during the period 2012-2015. Up until mid 2015 analyses of Au in CRM A and B showed the analytical process to be stable and in control. In the latter part of 2015, both CRM’s show evidence of a decrease in laboratory performance – the average assayed grade trends downwards slightly and the variability increase. The difference between certified (expected) mean value and the average of actual assays is 7% for the year for both CRM’s. During 2016 no CRM were submitted as none were available on site, new batches from Australia took some time to get to site and CRM submission resumed mid 2017. During 2017 the CRM difference in means between the certified value and TSG laboratory is between -5 and -3% for Au. The laboratory shows a low bias which was also evident from the pulp check assays submitted. During 2018 the Au CRM show a consistent low bias with a temporal variability and it is evident that sample swaps have occurred at times.

• TSG laboratory procedures only routinely assess the precision of pulp aliquot selection – two aliquots are assayed for each sample, and the results averaged. Comparison of the two assays shows that pulp homogeneity is good, with duplicate pairs having a CV of 7%.

• During 2015 TSG submitted crusher duplicate samples to the TSG on site laboratory and to Kamchatgeologia (KCG) as umpire samples. The paired fire assays from TSG laboratory indicate an absolute relative error in sampling and assaying of 23% CV. The samples submitted to KCG show a relative bias of +7%, with TSG being lower than KCG. This, and the low value of TSG CRM’s with respect to certified mean, indicate that there may be a slight low bias in on-site laboratory assaying.

• During 2016 a batch of checks samples from the eastern zone campaign were sent to Kamchatgeologia laboratory, though the sample set was small (9 samples when sample swaps and very low samples were excluded), the results indicate that the TSG laboratory has a slight low bias (5% for Au and 5% for Ag), though the coefficient of variation is very similar from both laboratories.

• Repeat sampling of channels is now routinely carried out to assess the average relative error present in underground channel sampling. The coarse duplicates indicate a good correlation up to 20 g/t, beyond which the duplicate tend to return lower grades. Overall the coefficient of variation of the two set of samples is similar. The pulp duplicates that were re-assayed at both TSG and external laboratory show a very good correlation. The external checks were sent to IRGIREDMET Laboratory in Irkutsk which indicated that there is a slight low bias at the TSG laboratory of about 2%.

• Since 2014, an assessment of contamination in sample preparation was made by bracketing ore grade samples with blank samples. During 2016, 1 out of 9 blank samples submitted failed, albeit below cut-off. It is recommended that this practice is not only continued but is increased in frequency. However in 2017-2018 no samples were submitted, as they encountered far fewer high grade samples and mining rates did not allow repeat sampling to take place.

• Seequent re-iterate that a full QAQC programme whereby blanks, CRM, pulp and coarse/rig duplicates are submitted and analysed. The QAQC programme in place is what the on-site laboratory conduct as part of their own procedure. It is recommended that the geology department initiate their own QAQC programme for their sample submission to the laboratory and external checks. The QAQC


Criteria Commentary

should be continually monitored to identify and act on periods of poor laboratory performance.

Verification of sampling and assaying

• No independent verification of significant intersections was carried out by Seequent. Given the status of Asacha as a producing mine this is not considered necessary. Reconciliation to date does not indicate any material problem with the accuracy of diamond drill sampling.

• Twinning of diamond drill holes is not considered necessary. Addition of successive generations of drilling which in-fills, and at times repeats, earlier holes, has not shown any major unexpected (i.e. not explicable by inherent variability) differences. In general holes separated by short distances are more similar than holes separated by larger distances. In addition, the grades indicated by diamond drilling are largely confirmed by channel sampling and mine production.

• All assay data provided by laboratories is provided by email and are also printed out.

Location of data points

• No information was provided on the survey datum used – this is still restricted information in Kamchatka. TVX and TSG holes have been surveyed by the same independent survey contractor (KamchatTISIZ), with a reported accuracy of 3cm. Based on information in previous reports, the CKGE holes were originally surveyed in a different local coordinate system, but KamchatTISIZ were able to resurvey 41 of the original CKGE holes and used these to establish a transformation to migrate all CKGE hole coordinates into the new coordinate system.

• Downhole surveying of CKGE reportedly used a MIR36 survey instrument at 20m intervals. TVX era holes were surveyed with a WelNav magnetic single shot instrument, and TSG holes with a Reflex magnetic single shot at intervals between 10 and 60m. No natural sources of magnetic interference are expected.

• Since commencement of mining, surveying of development openings is carried out by the registered mine surveyor. Geology staff locate channel collar and path relative to the surveyed outline. It is considered that underground channel sample locations will be generally located with +/- 25cm of true location.

• TSG measure the drillhole collar positions using tachymeter Nikon Nivo 5 MW. Downhole survey measurements were done using the REFLEX EZ-SHOT survey instrument. On average surveys were taken every 20m. Measurements are made at regular intervals whilst drilling to track the orientation and final measurements for the database are made when the hole is complete. The local magnetic declination is used to correct the azimuths measured.

• Due to experience with the local brown bears, the collar locations are marked by approximately 2m metal tubes, hammered in vertically, with a metal identification tag. The tag includes the hole ID, drillhole depth and date.

• The topographic survey was carried out by by KamchatTISIZ JSC in 1997 and digitized in 2004 by GEOSEIS Ltd on a scale of 1:1000 (Pulkovo 1942, Gauss-Kruger projection, Area 27). The quality of this survey is adequate.

Data spacing and distribution

• Surface and underground channels are spaced at approximately 3m along drives. Diamond drill holes vary in spacing. The areas of densest diamond drilling are at roughly 25x50m on the main veins. On the East veins the drilling varies from approximately 30x30m near surface extending to 50x75m at depth. Veins have not been modelled unless continuity can be confidently assumed with drilling or drive development. The 2018 data consists of mine channel samples only and no exploration data. The majority of the channel samples are


Criteria Commentary

located on the 100mRL and to a lesser extent the 125mRL. The veins updated for this model are shown in relation to the new data in the figure below.

QV 1, 2 and 4 with locations of drilling and channel sample data. Orange locations indicate 2018 channel samples which are located on 100mRL and 125mRL.

• Vein intersections have been composited in two ways:

o Firstly, all diamond drill holes and channel samples were composited to a 1m (+/- 0.5m) interval. These were used to make grade estimates in 3 dimensions above the base of mine development

o Secondly, all diamond holes and channel samples that traverse the full width of the vein have been composited across the full width of the vein, then multiplied by the horizontal width of the intersection to create metal accumulations. These were used in the 2D estimate which has largely been superseded by the 3D estimate.


Criteria Commentary

Orientation of data in relation to geological structure

• The veins mined at Asacha are sub-vertical. Diamond drill data from surface is generally angled to intersect the veins at moderate angles. Holes are drilled from both east and west. A number of intersections at acute angles have been excluded from estimation. The uncertainty in the lateral location of veins increases with depth below surface as holes become longer and intersection angles more acute.

Sample security • Underground channel and drill core samples are processed and assayed on site.

• It is not known whether any special precautions were taken to ensure security of diamond drill samples. The site is remote, and all handling and transport of bagged samples would have been undertaken by company personnel.

Audits or reviews

• Data quality has been discussed in detail by a number of previous authors. The most comprehensive treatment was a review of previous work by Hatch in 2006 for Standard Bank PLC (Hatch, 2006, Technical Review Report, September 2006, Hatch_60915 PD Final Report Oct2006.pdf) which draws on a number of earlier reports.

• Hatch conclude that the lack of systematically collected and presented data available to demonstrate the quality of sampling and assaying is a weak point in resource estimates. Seequent concur with this view.

• Based on analysis of available historic data, and review of current QAQC practices, Seequent are satisfied that the data supplied are of sufficient quality for the purposes of mineral resource estimation and support the level of classification applied to estimates. The commencement of mining and processing and reasonable reconciliation between prediction and production has significantly de-risked the issue of data quality in estimating, classifying and reporting Mineral Resources at Asacha.

• Seequent reiterate that compilation, analysis and reporting of all existing QA/QC data for diamond drilling at Asacha should remain a priority for TSG.

Section 2 Reporting of Exploration Results (Criteria listed in the preceding section also apply to this section.)

Criteria Commentary

Mineral tenement and land tenure status

• TSG operates on the basis of the license PTR11626BE dated 07.08.2003 with amendments dated 06.04.2016 with the aim of exploration and mining, including the related processing and use of waste. The license area is 24 km2. The expiry date of the license is 31.12.2024.

• There are no known impediments to the operation of mining in this license area.


Criteria Commentary

Exploration done by other parties

• The Asacha deposit was discovered in 1973, and exploration work was undertaken by the state owned Central Kamchatka Geological Expedition (CKGE) between 1986 and 1990. In 1990 a mining licence was granted to Trevozhnoe Zarevo (TZ), and in 1994 TVX Gold Inc. (TVX) acquired a 50% stake in the company. Exploration work was carried out by TVX between 1996 and 1998. In 2001 TSG acquired TVX’s 50% stake in TZ, and increased this to 90% in 2002. TSG acquired the remaining 10% interest in TZ in two tranches; 2007 and 2010. TSG conducted geological exploration drilling of the Main Zone in 2004-2005, and of the Eastern Flank during 2012 and 2016. Mine development on the Main Zone commenced in 2008, and mining (extraction and stoping) started in the middle of 2011.

• The table below summarises all drilling and underground sampling done on the Asacha deposit:

The following table lists the drillholes that were excluded from the estimate:


Criteria Commentary

Geology • The Asacha gold deposit is located in the south-east region of the Kamchatka Peninsula, far east Russia. The Peninsula is a Tertiary volcanic arc that formed due to the subduction of the north-westerly moving Pacific plate. The morphology comprises a series of NNE arc parallel structures defined by the alignment of stratovolcanoes, many of which are still active. A number of transverse faults offset the arc-parallel structures, and in places these have been recognized as hosts for mineralisation.

• Although a number of parallel vein systems have been identified in the area, only two systems have been explored in detail. First of them is referred to as the Main Zone and it has been defined over strike length of approximately 1500m and to depth of approximately 300m in places. The second is the East Zone, where the veins are generally narrower and less continuous. For modelling purposes, the Main Zone has been divided into several subsidiary veins that occur as splays or splits. The veins are steeply dipping and in places can be up to several meters thick.

• The Asacha deposit is classified as a low-sulphidation quartz-adularia-sericite Au-Ag epithermal vein system. The mineralisation is hosted with N-S trending fault hosted structures. High grade zones are usually associated with sulphide rich bands (referred to as Ginguro bands). The Asacha ore minerals are native gold and silver in the form of polybasite and pyrargyrite. The main gangue minerals include quartz and adularia, with significantly smaller quantities of hydromicas, kaolinite, montmorillonite, iron and manganese oxides and chalcophile minerals.

Drill hole Information

• No new exploration results are being reported with this resource estimate update.


Criteria Commentary

Data aggregation methods

• Exploration results are not being reported separately. The mineralised intersections were domained by wireframes and samples were composited to 1m prior to estimation. A cut-off of 4 g/t was used to domain the mineralised zone, though below cut-off intersections were sometimes included for continuity of the vein.

• Metal equivalents were not used in the reporting of the mineral resource.

Relationship between mineralisation widths and intercept lengths

• The mineralisation at Asacha in general sub -vertical and exploration drilling aims to intercept the veins as perpendicular as possible. The drilling is on average orientated at a 50° dip.

• The gold and silver mineralisation at Asacha is mainly concentrated within the quartz-adularia veins and is rarely found beyond their limits. Their lines of contact with surrounding rocks are clearly identified.

Diagrams • There are no new exploration results to report for this update.

Balanced reporting

• No new exploration drilling. The results of channel sampling were used to update the reported Mineral Resources.

Other substantive exploration data

• The results from a hydro-geological study which was carried out in 2016-2017 predicted that water inflows to the 150m, 100m and 50m levels at 1 587 m3/hour, 2 614 m3/hr and 3640 m3/hr. This affects the northern part of the Main Zone under the Semeyny stream.

Further work • Exploration planned for 2019 are

• 1. Surface drilling for the lateral extents of the Main zone and for QV 25. Totaling 4700m.

• 2. Underground drilling on the Main Zone at deep levels. Totaling 8500m.

Section 3 Estimation and Reporting of Mineral Resources (Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria Commentary

Database integrity

• Drilling data is stored in an unsecured Microsoft Access database. Assay results are received electronically, whilst other data is entered manually.

• Validated data for use in estimates was provided in ASCII comma delimited files. A few errors detected in these files were fixed on advice from TSG.

• Seequent also validated data using the internal consistency checks in the software packages Leapfrog Geo, Datamine and pre-2016


Criteria Commentary

estimates in Minesight. Visual checking was also used to detect any anomalous hole collar locations, hole paths, inconsistent geology etc.

Site visits • Mike Stewart, at the time Principal Consultant, Seequent (formerly QG Pty Ltd) visited Kamchatka between 10th and 18th December 2012, and travelled to the Asacha mining operation from 13-15th December. Whilst on site Mike Stewart toured the underground operations, processing plant, mine laboratory, mining offices and core storage area. The remainder of the time was spent in the TSG offices in Petropavlovsk gathering data and discussing geology.

• Carrie Nicholls, Senior Consultant, visited Kamchatka between 12-15th October 2017. The purpose of the visit was, as Competent Person for the mineral resource estimate to gain an understanding of the complexities of the deposit to aid the modelling process; review the processes carried out in relation to the collection and processing of sample data; to gain an understanding of their reconciliation process and exploration strategy.

Geological interpretation

• The primary geological interpretation of Asacha was provided by TSG in the form of coded drill hole intercepts and digitised level plan interpretations based on underground sampling and mapping.

• Veins intercepts are based on logging of quartz combined with consideration of Au and Ag grades. Veins are typically banded accumulations of quartz, adularia, chalcedony, saccharoidal quartz, carbonate and ginguro (smokey black bands of fine grained mixed base metal sulphides). The banded habit of the veining suggests a typical cyclic crack-seal formation mechanism. The veins generally display hard contacts with the surrounding host rock but in some areas, the mineralisation extends as stockworks into the host rock within the hangingwall and footwall and also within clayey-brecciated zones. In this situation a lower threshold of 6g/t is used for defining veins.

• The vein system at Asacha is comprised of two main veins (QV1 and QV2) with a number of smaller splay structures. The confidence in interpretation of the main structures is generally high, although correlation may be complicated around splays and towards the margins of veins. In general, vein continuity was only assumed where intercepts could be confidently correlated.

Dimensions • The defined extent of mineralization on the Asacha vein system is a little over 1.5km in strike and 400m in vertical extent. The largest individual veins defined within this system (QV1 and QV2) have strike lengths of 1000m and outcrop at surface.

• In the eastern zone, mineralization is defined over 1km of strike extent, although individual veins have a maximum strike of 500m. Veins in the eastern zone are significantly thinner, and less well correlated than in the main zone.

Estimation and modelling techniques

• Geometric modelling of vein structures was carried out using the implicit modelling software Leapfrog Geo. Modelling of grades was carried out for this update using Leapfrog Edge. Historic vein estimates that were not updated were done using Isatis, Datamine and Minesight geostatistical software.

• Two different approaches to modelling of grade were employed:

• A 3D/2D boundary was delineated based loosely on the lowest levels of development. Within this boundary grades were estimated by 3D using Ordinary Kriging. This method was adopted because numerous channel samples do not cross the full width of the vein. The orientation of both search and variogram was adjusted for each block to match the local variations in the orientation of the vein. With


Criteria Commentary

subsequent updates the number of 2D estimates are substantially reduced, with the majority of the main veins (QV1 and 2) now estimated in 3D. The variograms modelled are typical of precious metals:

Variogram Vein

Nu

gg

et

Sil

l (s

ph

)

Ranges (m)

Sil

l (s

ph

)

Ranges (m)

Dip

Str

ike

Acr

oss

Dip

Str

ike

Acr

oss

Au

10 0.3 0.42 5 4 4 0.28 40 40 8

20 0.4 0.34 7.2 10.6 3 0.26 40 90 5

21, 50 0.36 0.25 19 53 1.5 0.39 45 363 3.5

40 0.4 0.6 40 40 5 - - - -

30, 60, 25, 70, 80 0.33 0.25 14 16 1 0.42 50 80 5

Ag

10 0.1 0.38 20 30 3 0.52 80 110 5

20 0.17 0.4 7 8 3 0.43 80 160 6

40 0.4 0.6 40 40 5 - - - -

21, 30, 50, 60, 25, 70, 80 0.19 0.32 20 34 1 0.49 60 90 4.3


Criteria Commentary

The search parameters used for 3D estimation are in the table below:

Vein Dip Strike Across Min.

samples

Max

samples

2nd search

volume

multiplier

Min.

samples

Max

samples

Max

samples

per

drillhole

10 37 28 6 7 18 2 7 18 3

20, 2A 40 20 5 7 18 2 7 18 3

21 75 75 15 4 24 N/A

25 100 200 30 4 24 2 2 24

30 90 90 15 4 24 N/A

40 40 30 10 7 18 2 3 18 4

50 100 250 20 4 24 N/A

60 75 75 20 4 24 N/A

• Outside of the 3D boundary on the Main Zone and in the East zone for QV 70 and 80, the veins are ideally suited to be estimated in 2D. The vein grades were estimated by Ordinary Kriging of Au metal, Ag metal and horizontal thickness, then Au and Ag grades were back calculated. Variogram models applied to all veins are shown overleaf:


Variable Vein

Nu

gg

et

Nu

gg

et (

%)

Sil

l (s

ph

)

Ranges

Sil

l (s

ph

)

Ranges

Dip

Str

ike

Dip

Str

ike

AuM_Cut

10 260 17% 500 25 25 800 100 100

20,30,40,60 330 23% 485 18 18 610 50 50

70,80 660 33% 600 30 40 735 60 80

AgM_Cut

10 780 17% 1500 25 25 2400 100 100

20,30,40,60 1840 28% 2260 18 18 2440 50 50

70,80 0.5 50% 0.25 10 10 0.25 40 40

HThick

10 0.3 21% 0.4 20 20 0.7 50 120

20,30,40,60 0.3 21% 0.4 20 20 0.7 50 120

70,80 0.3 21% 0.4 20 20 0.7 50 50

The search parameters used for the 2D estimation are in the table below:

Vein Search

# sectors Min/sector Max/Sector Dip Strike

10 100 200 4 4 4

20 100 200 4 4 4

30 75 150 4 4 4

40 100 200 1 4 14

60 75 150 4 4 4

70 100 200 1 4 12

80 100 200 1 4 12


Criteria Commentary

In both 2D and 3D estimates, top capping was applied to limit the influence of extreme values:

Vein

code

Cuts applied to vein

accumulations

Cuts applied to 1m

composites

AuM AgM Au Ag

10 200 350 200 400

20 250 450 300 700

21 - - - -

30/31/3

2

60 60 65 200

40 - - 150 270

50 - - - -

60 60 25 100 40

25 - - - -

• The maximum distance of extrapolation of grades from data points is limited by the vein interpretation. Maximum extrapolation is to approximately 50m.

Moisture • All tonnages are estimated on a dry basis.

Cut-off parameters

• Based on LOM mining and milling costs, the breakeven grade is 4g/t Au. A minimum mining width of 1m also applies. The breakeven metal content to meet these constraints is thus 4m*g/t. In practice, the proportion of resource below this threshold is insignificant, and it is practically equivalent to simply applying a 4g/t Au cut-off.

• No account is taken of the contribution of Ag in consideration of cut-off.

Mining factors or assumptions

• The Asacha resource is currently mined by a number of different development and stoping methods. Mining practice is evolving with experience, and is adaptive according to the local geological and geotechnical conditions.

• The practical minimum mining width is approximately 1m.

• No mining dilution is applied to reporting of resources.

• Based on the presence of the operating mine and mill, existing mine economics, the potential for incremental development access to deeper and more distal parts of the orebody, and the potential for further exploration success, it is considered that all of the vein


Criteria Commentary

resources defined at Asacha have a reasonable prospect of eventual economic extraction.

Metallurgical factors or assumptions

• Milling experience to date has not encountered any substantive variation in metallurgical recovery which would affect definition of resources. Asacha ore is free milling with an average life to date recovery of 94% for Au and 76% for Ag, which is very similar to the previous year.

Environmental factors or assumptions

• There are no environmental factors that affect definition of mineral resources.

Bulk density • A global bulk density of 2.48 is applied to all ore. This measurement is based on around 160 core samples taken from the 1990’s.

• Due to the differing nature of the host rock and veins in the southern end of the deposit, compared to the north, it is recommended that check density measurements are made. The ground conditions in the south are of poorer quality due to extensive faulting and argillic alteration.

Classification • Classification takes account of data quality, confidence in geological interpretation and confidence in block estimations. These aspects are necessarily subjective.

• Measured Resources are restricted to areas that have been developed above and below, or to a maximum projection of 12m above or below development. In addition, the slope of regression on accumulation estimates is greater than ~0.90. Only veins QV 10, 20, 21, 30 and 40 have any resource classified as Measured.

• To be classified as Indicated resource, blocks must be within 25m of a diamond drill hole, or 25m above or below development. This equates to a slope of regression on accumulation estimates of >~0.65. Part of veins QV 10, 20, 30 and 40 and the whole of veins QV 31, 32, 60 and 70 were given a classification of Indicated.

• In veins QV 10, 20 and 30 any part of the interpreted vein limits not classified as Measured or Indicated was given a classification of Inferred. In addition, the whole of veins QV 50, 80 or 25 were classified as Inferred. There is insufficient drilling in these veins to permit a higher level of classification to be applied.

• Classifications were set using polygons digitised in long section.

Audits or reviews

• This Mineral Resource was audited internally by Mike Stewart.

• This Mineral Resource has not been audited externally.

• A number of external reviews were undertaken of mineral resource estimates conducted prior to commencement of mining. They are not considered relevant to the current estimates of the resource remaining after 6 years of mining.

Discussion of relative

• The Mineral Resource has been reported in accordance with the guidelines of the 2012 edition of the Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves and reflects the relative accuracy of the Mineral Resource estimates.


Criteria Commentary

accuracy/ confidence

• The statements relate to global estimates of tonnes and grade. The higher the level of classification applied, the higher the local accuracy of resource estimates.

• Comparison of reported production with the resource estimates is broadly in line with expectation.

trans-siberian gold...december 2012, was completed in may 2013 (stewart, 2013; tsg, 2013). at...

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