Who should attend

Exploration and mine geologists, resource analysts, mining en-gineers, and anyone acting in the role of “qualified” or “com-petent person” for mineral resource and ore reserve estimates.

Instructors

Georges Verly, Ph.D., P.Eng., has more than 35 years of experience in geostatistics, specialising in practical applica-tions to the mining industry. He is Chief Geostatistician with AMEC’s Mining & Metals business unit in Vancouver, Can-ada. Before joining AMEC, Georges was Consulting Geo-statistician with Placer Dome / Barrick, where he developed practical applications of simulations to resource estimation and grade control for a number of mining operations and projects. He has taught geostatistics courses at the Univer-sity of Nevada’s MacKay School of Mines, the University of British Columbia, Concordia University in Montreal, and University of Quebec at Chicoutimi, as well as to a num-ber of private-sector organisations. Georges has authored or co-authored more than 20 technical papers in the field. He is a graduate of Stanford University, École Polytechnique of Montréal, and a member of SME, IAMG, and APEGBC.

Venue detaIls

Hyatt Regency Perth 99 Adelaide Terrace Perth, Western Australia 6000 perth@hyatt.com.au

logIstIcs Lectures are given from 9 AM (refreshments at 8:30 a.m.) to 5 PM with two 15 minute coffee breaks and a 1 hour lunch break.

COSMO - Stochastic Mine Planning Laboratory, a global centre for leading-edge research and graduate education in “orebody modelling and strategic mine planning with uncertainty”, is supported by AngloGold Ashanti, Barrick Gold, BHP Billiton, De Beers, Newmont Mining, Vale, and the Canada Research Chairs Program, NSERC, and CFI.

COSMO – Stochastic Mine Planning Laboratory Mining Engineering

http://cosmo.mcgill.ca

WWW.ausImm.com.au

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Practical Geostatistical Mineral Resource/Ore

Reserve Estimation:Step by step

from sampling to grade control

Registration Deadline - October 31, 2014

Send registrations to: Sienna DeanoThe AusIMM P.O. Box 660

Carlton South, VIC 3053, Australia Phone: 61 3 9658 6126

Fax: 61 3 9662 3662Email: SDeano@ausimm.com.au

Register online: www.ausimm.com.au

AusIMM, CIM, SME and SAIMM o Members: $4,180.00 ($3,800 ex GST)o Non-members: $4,510.00 ($4,100 ex GST)

Title: __________ Name: ________________________

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Registration includes course notes, lunch, and morning and afternoon tea. Participation in this course may be a valid activity towards con-tinuing professional development with up to 26 contact hours. Participants receive a Certificate of Completion.Notification of Cancellation received in writing up to October 31, 2014 (minimum of 10 working days before the course) will incur a 20% cancellation fee. No refund will be made after this time. An alternative participant may be nominated.

November 17-21, 2014Perth, Western Australia

Georges Verly, AMEC Americas Ltd., Canada

Surrounding the Orebody Modelling

and Strategic Mine Planning Symposium

24-26 November 2014

Hyatt, Perth, Western Australia

➧ Ordinary, simple, and multiple indicator krigings

➧ Panel/SMU versus restricted search estimation

➧ Long term versus short term/grade control orebody models

➧ Kriging neighbourhood analysis

➧ Conditional bias, over/under-smoothing?

Model Validation

➧ Visual checks

➧ Statistical checks

➧ Selectivity / dilution checks

➧ Local precision checks

Classification

➧ JORC Code definitions and guidelines

➧ Reasonable prospects of economic extraction

➧ Quantifying geological and grade continuity for classification

➧ Drill hole spacing study for classification

Introduction to Conditional Simulation

➧ Difference between estimation and simulation

➧ Sequential Gaussian and Indicator simulations

➧ Other methodologies for simulation

➧ Examples of geology and grade simulations

content and objectIVes

This course is designed to provide a clear understanding of geostatistics, exploratory data analysis and validation tools to facilitate and improve resource estimates that satisfy the JORC Code guidelines for resources/ore reserves estimation.

Through in-depth presentations, discussion and practical exercises, participants will learn state-of-the-art resource estimation procedures, such as: dealing with data of vari-able quality, e.g. legacy data; testing the character of do-main boundaries; top-cutting; swath plots as an exploratory data analysis and validation tool; spatial analysis includ-ing the correlogram; orebody model validation including anticipated mining selectivity checks; drill spacing study as a guide to classification; resource classification satisfying JORC Code guidelines. Conditional simulation and other advanced techniques are also discussed.

course outlIne

Overview Of resOurce estimatiOn PrOcess

Sampling and QA/QC

➧ Overview of sampling and sampling errors

➧ Fundamental error and nomograph

➧ Quality assurance and quality control (QA/QC)

➧ Assessing detection limit, contamination, precision and accuracy

Geological Model

➧ Overview of geological modelling and geological uncertainty

Exploratory Data Analysis

➧ Concept of stationarity

➧ Basic univariate and bivariate statistics

➧ Compositing

➧ Declustering including cell and polygonal declustering

➧ Top-cutting including decile analysis and metal-at-risk

➧ Assessing the character of domain boundaries

➧ Histograms, boxplots, scattergrams, relative difference plots

➧ Comparing different sample types

Variography

➧ Intuitive presentation of spatial variability and the variogram

➧ Variogram versus covariance function

➧ Alternative variograms such as correlograms

➧ Selection of directions, angular tolerance, and lag distance

➧ Variogram fitting

Block Grade Distribution

➧ Impact of support/block size on recoverable tonnes and grade

➧ Block grade distribution, block dispersion variance

➧ Selective mining unit (SMU)

➧ Change of support corrections: affine, indirect lognormal, discrete Gaussian

Estimation

➧ Estimation error and variance, relative estimation variance

➧ Inverse distance and nearest neighbour estimation

The 2010 AusIMM Spectrum Series Vol. 17: “Advances in Orebody Modeling and Strategic Mine

Planning I: Old and New Dimensions in a Changing World” is included

with the course materials

PractIcal geostatIstIcal mIneral resource/ ore reserVe estImatIon:steP by steP from samPlIng to grade control

PLEASE NOTE it is strongly recommended that participants bring a laptop and no previous

exposure to statistics and geostatistics is required.