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Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1 , Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project, BGS 2 Geophysics Skill Centre, BG Group

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Page 1: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak

Xiang-Yang Li1, Enru Liu1 and Tim Pointer2

1Edinburgh Anisotropy Project, BGS

2Geophysics Skill Centre, BG Group

Page 2: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Contents

• Geological setting

• Model building

• Acquisition parameters

• P-wave azimuthal analysis

• Converted-wave splitting

• Summary

Page 3: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

KIO Development Fig. 1

3D Seismic Project - Location map

Page 4: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

3D Seismic Project - Survey Location map

Russian Border

Shallow Salt

3D Survey (single fold)

Field Border

KIO Development Fig. 2

320 SqKm

808 SqKm

Page 5: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Geological cross section

Page 6: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Well logs – Well 25

No data ?

Page 7: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Model-building Assumptions

• Vp from sonic log

• Vs calculated by

Vs=0.371*Vp+0.942

• Density based on Gardner’s equation

=0.0296*Vp2+0.461*Vp+0.963

Page 8: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

E W

Along the salt free corridor Thru well 25

Page 9: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

N S

Through the 2 salt domes

salt salt

Page 10: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

E W

Along the salt free corridor

Page 11: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Blocked model

• Formation tops referred to the cross section

• Well 25 does not go through Salt

• Fractured limestone with 10% fracture density

Page 12: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Model building notes:

(Tim, please check, here are some questions to you regarding to the model.)

1. The model is consistent with the geological section with a stratigraphic unconformity: the lower Permian sits above the Carboniferous, and hence a velocity inverse.

2. The white zone in the log was interpreted as the velocity inverse.

3. However, this unconformity is not visible on the seismic section recently supply to us (Slide 8 )

4. The well does not seem to tie with the seismic at well 25 ?

Page 13: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Acquisition parameters (modelling)

• Four azimuthal directions (0, 30, 60, 90 degrees), angles from fracture normal

• Offset ranges 0-12km

• Usable offsets 0-9km

• 240 channels and receiver interval 50m

• A Ricker wavelet with 200ms delay time, and dominant frequency 50 Hz is used

• Gas- vs. Water-filled fractures

Page 14: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

PP-wave

Horizontal componentVertical component

PS-wave

Page 15: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Vertical component Horizontal component

PP-wave PS-wave

Page 16: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on the full-wave field

1. P-wave reflections from all 17 reflectors (R1-R17) can be clearly identified in the vertical components

2. PS-conversions from all 17 reflectors (R1-R17) can be observed clearly in the horizontal radial components

3. In the top half of reflectors (R1-R11), PP- and PS waves are coupled in the vertical and horizontal components

4. PP- and PS events from reflectors R12-R17 are better separated in the vertical and horizontal components.

5. R12 is the top of the fractured zone, and R15 is the bottom of the fractured zone

Page 17: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

P-wave azimuthal analysis

• Azimuthal gathers for offsets: 0-3000m

- No observable azimuthal variations

• Azimuthal gathers for offsets: 0-4500m

- Clear observable azimuthal variations

• More-offset gathers: 0-6000m; 3000-9000m

• Gathers are NMO-corrected by a single velocity function derived from azimuthal gather 0 (AZI=0, parallel to fracture normal)

Page 18: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity function used for NMO

AZI=0PP wave

Gas-filled

R12

R13

R14

R15

R12

R13

R14

R15

Page 19: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Gas-filled fractures/Offsets:0-3000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 20: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Gas-filled fractures/Offsets:0-4500m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 21: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Gas-filled fractures/Offsets:0-6000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 22: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Gas-filled fractures/Offsets:3000-9000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 23: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Water-filled fractures/Offsets:0-3000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 24: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Water-filled fractures/Offsets:0-4500m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 25: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Water-filled fractures/Offsets:0-6000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 26: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PP-waves)

Water-filled fractures/Offsets:3000-9000m

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

R12

R13R14

R15

Page 27: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on azimuthal variation in P-wave moveout

1. P-wave moveout: Event R12 (top of fracture zone) shows no azimuthal variation

2. Events R13-R15 show clear azimuthal variations in P-wave moveout for offsets 3000m or above

3. Gas-filled fractures show stronger azimuthal variations than water-filled fractures

4. An offset-depth ration of 1.5 is preferred to observe P-wave azimuthal variations, or an offset of 6000m is required for a target at depth 4000m.

Page 28: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=0 (PP-waves)

Gas-filled fractures/Azimuth: 0

R12

R13

R14

R15

R12

R13

R14

R15

Page 29: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=30 (PP-waves)

Gas-filled fractures/Azimuth: 30

R12

R13

R14

R15

R12

R13

R14

R15

Picked from

AZI=0

Page 30: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=60 (PP-waves)

Gas-filled fractures/Azimuth: 60

R12

R13

R14

R15

R12

R13

R14

R15

Picked from

AZI=0

Page 31: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=90 (PP-waves)

Gas-filled fractures/Azimuth: 90

R12

R13

R14

R15

R12

R13

R14

R15

Picked from

AZI=0

Page 32: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Azimuhthal amplitude variations (PP-waves)

Gas-filled fractures/Offsets:0-7500m

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

Page 33: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Azimuhthal amplitude variations (PP-waves)

Water-filled fractures/Offsets:0-7500m

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

R12

R13

Page 34: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on azimuthal variation in P-wave stacking velocity and amplitude

1. P-wave stacking velocity at event R12 (top of fracture zone) shows no azimuthal variation

2. Events R13-R15 show clear azimuthal variation in P-wave stacking velocities

3. The picked white curves indicate the stacking velocity from azimuthal gather AZI=0.

4. P-wave amplitude shows similar azimuth variations, but less obvious than the moveout and velocity

Page 35: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on fracture detection using P-wave data

1. Multi-azimuthal coverage is required for using P-wave attributes for fracture analysis

2. Offsets at least up to 6000m is required for a target at depth of 4000m

3. As such, lateral inhomogeneity, such as the salt domes will affect the results of P-wave data.

4. The two salt domes are about 10km apart at the surface, and 4-6km apart at the subsurface. Interferences from the salt domes will degrade the reliability of P-wave fracture detection.

Page 36: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

PS converted-wave analysis• Azimuthal gathers for offsets: 0-3000m

- No observable azimuthal variations

• Azimuthal gathers for offsets: 0-6000m

- Clear observable azimuthal variations

• Converted-wave splitting is clearly observable on the azimuthal gathers- Fast shear-wave (PS1): Gather AZI=90- Slow shear-wave (PS2): Gather AZI=0

• Gathers are NMO-corrected by a single velocity function from azimuthal gather 90 (AZI=90, parallel to the fracture strike)

Page 37: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity function used for NMO

AZI=90PS wave

Gas-filled

R12

R13

R14

R15

R12

R13-PS1

R14-PS1

R15 – PS1

Page 38: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

R12R13

R14R15

R11R10

R9R8

R7

R6

R5

R4

R3

NMO-corrected azimtuhal gathers (PS-waves)

Gas-filled fractures/Offsets:0-6000m

Page 39: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PS-waves)

Gas-filled fractures/Offsets:0-3000m

R12 R12 R12 R12

R13 – PS1

R14 – PS1

R15 – PS1

R13 – PS1

R14 – PS1

R15 – PS1

R13 – PS2

R14 – PS2

R15 – PS2

R13 – PS2

R14 – PS2

R15 – PS2

Page 40: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

NMO-corrected azimtuhal gathers (PS-waves)

Gas-filled fractures/Offsets:0-6000m

R12 R12 R12 R12

R13 – PS1

R14 – PS1

R15 – PS1

R13 – PS1

R14 – PS1

R15 – PS1

R13 – PS2

R14 – PS2

R15 – PS2

R13 – PS2

R14 – PS2

R15 – PS2

Page 41: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=90 (PS-waves)

Gas-filled fractures/Azimuth: 90

R12

R13

R12

R13 – PS1

R14 – PS1

R15 – PS1

R14PS1

R15PS1

Page 42: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=60 (PS-waves)

Gas-filled fractures/Azimuth: 60

R12

R13

R12

R13 – PS1

R14 – PS1

R15 – PS1

Picked from

AZI=90

R14PS1

R15PS1

Page 43: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=30 (PS-waves)

Gas-filled fractures/Azimuth: 30

R12

R13

R12

R13 – PS2

R14 – PS2

R15 – PS2

Picked from

AZI=90

R14PS2

R15PS2

Page 44: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Velocity analysis for AZI=0 (PS-waves)

Gas-filled fractures/Azimuth: 0

R12 R12

R13 – PS2

R14 – PS2

R15 – PS2

Picked from

AZI=90

R14PS2

R15PS2

Page 45: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on PS converted-wave analysis

1. Converted-wave moveout and stacking velocities for events R13-R15 also show azimuthal variations within the offset ranges of 0-6000m

2. However, this azimuthal variation is complicated by converted-wave splitting and the non-hyperbolic moveout due to the asymmetric raypath.

3. Converted-wave splitting in the fracture zones is observable in all azimuth gathers.

4. The fast and slow converted-waves (PS1 and PS2) are separated in the two azimuthal gathers parallel and perpendicular to the fracture strike (AZI=90 and 0, respectively).

Page 46: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Notes on PS converted-wave analysis - continued

5. Converted-wave splitting can be observable within the conventional offset ranges (0-3000m), and long offset coverage is not necessary.

6. An reliable analysis of converted-wave splitting still requires multi-azimuthal coverage.

7. The salt-free corridor offers a possibility to conduct an experiment using converted-wave splitting to characterize the fractures in this area.

Page 47: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Summary - 1• It is possible to use P-waves to characterize

the fracture zones located at depth level from 4200m to 5000km.

• However, it requires wide azimuthal coverage and long-offsets up to 6000km or more.

• Consequently, complications will arise due to the presence of two closed spaced salt domes less than 6km apart in the subsurface.

• The accuracy and reliability of any fracture information derived from the P-wave will be affected by the presence of the salt domes.

Page 48: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Summary - 2

• Converted-wave splitting can be observed within the fractured zone and this splitting can be observed within much shorter offsets less than 3km.

• This offers a better alternative to characterize the fractures along the salt-free corridor using converted-waves.

• A multi-azimuthal coverage may still be required, although it is not essential.

Page 49: Feasibility Study of Fracture Detection Using Seismic Data in Karachaganak Xiang-Yang Li 1, Enru Liu 1 and Tim Pointer 2 1 Edinburgh Anisotropy Project,

Acknowledgement

• We thank BG for providing the data …. (Tim, please add the names of your colleagues,

• The work is supported through the EAP project and we thank the sponsors of EAP project.

• ????