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Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland Ying Zou and Larry Bentley This presentation will probably involve audience discussion, which.

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Presentation on theme: "Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland Ying Zou and Larry Bentley This presentation will probably involve audience discussion, which."— Presentation transcript:

1 Time-lapse Seismic and AVO Modeling, White Rose, Newfoundland Ying Zou and Larry Bentley This presentation will probably involve audience discussion, which will create action items. Use PowerPoint to keep track of these action items during your presentation In Slide Show, click on the right mouse button Select “Meeting Minder” Select the “Action Items” tab Type in action items as they come up Click OK to dismiss this box This will automatically create an Action Item slide at the end of your presentation with your points entered.

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: Seismic response (e.g. PP, PS, AVO) Changes: Bulk modulus Shear modulus Bulk density

4 Fluid properties + PVT data + Batzle & Wang(1992) + Vasquez & Beggs(1980)  f and K f Theory and Methodology (Bentley et al. CREWES Rpt., 1999) Velocity + density logs K u old,  u old and  u old  Core  and K s Gassmann Eq.

5 Theory and Methodology Production New Saturation Pressure Temperature  f new, K f new K u new,  u new

6 Theory and methodology FluidSeis--- A Matlab fluid substitution Program Individual fluid property, Saturation & PVT FluidSeis.m  f, K f Fluid, rock property, Saturation & PVT, velocity & density logs FluidSeis.m  f, K f, K d, K u,  u 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: From sea bottom 2758 m 2851 m Gas Oil Water Original reservoir In oil leg: S g =0% S o =78% S wc =22% P & T maintained

10 Case study: White Rose field-- Gas Drive From sea bottom 2758 m 2851 m Gas Oil Water In oil leg : S g =48% S or =30% S wc =22% P & T maintained Gas Oil Water

11 From sea bottom 2758 m 2851 m Gas Oil Water Case study: White Rose field-- Water Drive In oil leg: S g =0% S or =30% S w =70% P & T maintained

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

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

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

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

16 OriginalGasGas-Original

17 OriginalWaterWater-Original

18 Original Gas+ Water Gas+Water -Original

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

20 OriginalGasGas-Original

21 OriginalWaterWater-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


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