1. Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland
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Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland
Ying Zou and Larry Bentley

2. Outline Introduction Theory and methodology
Case study: White Rose Field Three production scenarios Zero offset synthetics PP and PS AVO modeling
Conclusions
Future work directions
Acknowledgement

3. Introduction Production of gas or oil Changes: Saturation Pressure
Temperature
Changes:
Bulk modulus
Shear modulus
Bulk density
Changes:
Seismic response
(e.g. PP, PS, AVO)

4. Theory and Methodology
(Bentley et al. CREWES Rpt., 1999)
Fluid properties + PVT data + Batzle & Wang(1992)
+ Vasquez & Beggs(1980) rf and Kf
Velocity + density logs Kuold, muold and ruold
Core f and Ks
Gassmann Eq.

5. Theory and Methodology
New Saturation
Pressure
Temperature
fnew, Kfnew
Production
Kunew , unew

6. Theory and methodology
FluidSeis---A Matlab fluid substitution Program
Individual
fluid property,
Saturation & PVT
FluidSeis.m
rf , Kf
Fluid, rock property,
Saturation & PVT,
velocity & density logs
FluidSeis.m
rf, Kf, Kd , Ku , ru
Above properties
for both pre and
post production
FluidSeis.m
Above values &
their changes

7. Case study: White Rose field--
Well Location

8. White Rose field--Well logs

9. Case study: White Rose field-- Three drive mechanisms:
Original reservoir
From sea bottom
Gas
In oil leg:
Sg=0%
So=78%
Swc=22%
2758 m
Oil
2851 m
Water
P & T maintained

10. Case study: White Rose field-- Gas Drive
From sea bottom
Gas
Oil
Water
Gas
2758 m
In oil leg:
Sg=48%
Sor=30%
Swc=22%
Oil
2851 m
Water
P & T maintained

11. Case study: White Rose field-- Water Drive
From sea bottom
Gas
Oil
Water
2758 m
In oil leg:
Sg=0%
Sor=30%
Sw=70%
2851 m
P & T maintained

12. Case study: White Rose field-- Gas and Water
From sea bottom
Gas
Oil
Water
Gas
2758 m
2851 m
Water
P & T maintained

13. Case study: White Rose field--Results
Oil Leg
Reflection Coefficient

14. Synthetic Zero Offset Traces
P-P
Synthetic Zero Offset Traces
Water Gas
drive drive Original
L-08 VSP
Corridor Stack

15. Case study: White Rose field--- PP wave AVO modeling
NMO Corrected
trace gather
Stacked
trace
Gas-Water
Water
Gas
Original

16. Original
Gas
Gas-Original

17. Original
Water
Water-Original

18. Gas+
Water
Gas+Water
-Original
Original

19. Case study: White Rose field--- PS wave AVO modeling: pre-production

20. Original
Gas
Gas-Original

21. Original
Water
Water-Original

22. Summary Velocity changes less than 1% Density changes 1-2%
P-P Reflection coefficient changes 15-20%
P-P and P-S offset dependent changes are sensitive to fluid substitution
P-P and P-S AVO are more diagnostic of fluid changes than stacked traces

23. Conclusions
White Rose is a good candidate for time-lapse reservoir monitoring
Multi-component recording of P-S converted waves appears to be a useful reservoir monitoring tool

24. Future Work Add noise to synthetic traces AVO attribute analysis
Exploring additional by-passed oil and pressure maintenance scenarios
True amplitude of seismic processing

25. Acknowledgements CREWES sponsors Husky Oil Larry Mewhort Jill McLean
Hampson-Russell Qing Li