Analysis of time‐lapse travel‐time and amplitude changes to assess reservoir compartmentalization

References

1. AngusD.A., FisherQ.J. and VerdonJ.P.2012. Exploring trends in microcrack properties of sedimentary rocks: an audit of dry and water saturated sandstone core velocity‐stress measurements. International Journal of Geosciences3, 822–833.
   [Google Scholar]
2. AngusD.A., KendallJ.M., FisherQ.J., SeguraJ.M., SkachkovS., CrookA.J.L. and DutkoM.2010. Modelling microseismicity of a producing reservoir from coupled fluid‐flow and geomechanical simulation. Geophysical Prospecting58, 901–914.
   [Google Scholar]
3. AngusD.A., VerdonJ.P., FisherQ.J. and KendallJ.M.2009. Exploring trends in microcrack properties of sedimentary rocks: an audit of dry‐core velocity‐stress measurements. Geophysics74, E193–E203.
   [Google Scholar]
4. AngusD.A., VerdonJ.P., FisherQ.J., KendallJ‐M., SeguraJ.M., KristiansenT.G., et al. 2011. Integrated fluid‐flow, geomechanic and seismic modeling for reservoir characterisation. Canadian Society of Exploration Geophysicists Recorder36, 26–35.
   [Google Scholar]
5. BarkvedO.I.2012. Seismic Surveillance for Reservoir Delivery. EAGE Publications.
   [Google Scholar]
6. CalvertR.2005. Insights and Methods for 4D Reservoir Monitoring and Characterization. EAGE Publications.
   [Google Scholar]
7. CoxB. and HatchellP.2008. Straightening out lateral shifts in time‐lapse seismic. First Break26, 93–98.
   [Google Scholar]
8. DaviesD. and MaverK.G.2004. 4D time‐lapse studies and reservoir simulation to seismic modelling. Offshore Technology Conference, Houston, USA, Expanded Abstracts, 16934.
9. FuckR.F., BakulinA. and TsvankinI.2009. Theory of traveltime shifts around compacting reservoirs: 3D solutions for heterogeneous anisotropic media. Geophysics74, D25–D36.
   [Google Scholar]
10. FuckR.F., TsvankinI. and BakulinA.2011. Influence of background heterogeneity on traveltime shifts for compacting reservoirs. Geophysical Prospecting59, 78–89.
    [Google Scholar]
11. GuestW.S. and KendallJ.M.1993. Modeling seismic waveforms in anisotropic inhomogeneous media using ray and Maslov asymptotic theory: application to exploration seismology. Canadian Journal of Exploration Geophysics29, 78–92.
    [Google Scholar]
12. GuilbotJ. and SmithB.2002. 4D constrained depth conversion for reservoir compaction estimation: Application to Ekofisk Field. The Leading Edge21, 302–308.
    [Google Scholar]
13. HatchellP.J. and BourneS.J.2005. Measuring reservoir compaction using time‐lapse time shifts. 75th SEG meeting, Houston, USA, Expanded Abstracts, 2500–2503.
14. HawkinsK., HoweS., HollingworthS., ConroyG., Ben‐BrahimL., TindleC.et al. 2007. Production‐induced stresses from time‐lapse time shifts: A geomechanics case study from Franklin and Elgin fields, The Leading Edge26, 655–662.
    [Google Scholar]
15. HeY‐X., AngusD.A., HildyardM.W. and ClarkR.A.2013. Time‐lapse seismic waveform modeling: Anisotropic ray tracing using hydro‐mechanical simulation models. 75th EAGE meeting, London, U.K., Expanded Abstracts, 12–16.
16. HerwangerJ.V.2008. R we there yet? 70th EAGE meeting, Rome, Italy, Expanded Abstracts, I029.
17. HerwangerJ.V. and HorneS.A.2009. Linking reservoir geomechanics and time‐lapse seismic: Predicting anisotropic velocity changes and seismic attributes. Geophysics74, W13–W33.
    [Google Scholar]
18. HerwangerJ.V. and KoutsabeloulisN.2011. Seismic Geomechanics: How to Build and Calibrate Geomechanical Models using 3D and 4D Seismic Data. EAGE Publications.
    [Google Scholar]
19. HerwangerJ.V., SchiøttC.R., FrederiksenR., IfF., VejbækO.V., WoldR.et al. 2010. Applying time‐lapse seismic methods to reservoir management and field development planning at South Arne, Danish North Sea. Petroleum Geology Conference Series7, 523–535.
    [Google Scholar]
20. HodgsonN.2009. Inversion for reservoir pressure change using overburden strain measurements determined from 4D seismic. PhD Dissertation, Heriot‐Watt University.
    [Google Scholar]
21. KvamØ. and LandrøM.2005. Pore‐pressure detection sensitivities tested with time‐lapse seismic data. Geophysics70, O39–O50.
    [Google Scholar]
22. LandrøM.2001. Discrimination between pressure and fluid saturation change from time‐lapse seismic data. Geophysics66, 836–844.
    [Google Scholar]
23. LandrøM. and StammeijerJ.2004. Quantitative estimation of compaction and velocity changes using 4D impedance and traveltime changes. Geophysics69, 949–957.
    [Google Scholar]
24. LynchT., AngusD., FisherQ. and LorincziP.2013. The impact of geomechanics on monitoring techniques for CO2 injection and storage. Energy Procedia37, 4136–4144.
    [Google Scholar]
25. MacBethC., HajNasserY., StephenK. and GardnerA.2011. Exploring the effect of meso‐scale shale beds on a reservoir's overall stress sensitivity to seismic waves. Geophysical Prospecting59, 90–110.
    [Google Scholar]
26. MinkoffS.E., StoneC.M., BryantS. and PeszynskaM.2004. Coupled geomechanics and flow simulation for time‐lapse seismic modelling. Geophysics69, 200–211.
    [Google Scholar]
27. PrioulR., BakulinA. and BakulinV.2004. Nonlinear rock physics model for estimation of 3D subsurface stress in anisotropic formations: Theory and laboratory verification. Geophysics69, 415–425.
    [Google Scholar]
28. RibeiroC. and MacBethC.2004. A petroelastic‐based approach to pressure and saturation estimation using 4D seismic. 66th EAGE meeting, Paris, France, Expanded Abstracts, A042.
29. RickettJ., DurantiL., HudsonT. and HodgsonN.2006. Compaction and 4‐D time strain at the Genesis Field. 76th SEG meeting, New Orleans, USA, Expanded Abstracts, 3215–3219.
30. RøsteT., LandrøM. and HatchellP.2007. Monitoring overburden layer changes and fault movements from time‐lapse seismic data on the Valhall field. Geophysical Journal International170, 1100–1118.
    [Google Scholar]
31. RøsteT., StovasA. and LandrøM.2005. Estimation of layer thickness and velocity changes using 4D prestack seismic data. 67th EAGE meeting, Madrid, Spain, Expanded Abstracts, C010.
32. RøsteT., StovasA. and LandrøM.2006. Estimation of layer thickness and velocity changes using 4D prestack seismic data. Geophysics71, S219–S234.
    [Google Scholar]
33. SayersC.2006. An introduction to velocity‐based pore‐pressure estimation. The Leading Edge25, 1496–1500.
    [Google Scholar]
34. SeguraJ.M., FisherQ.J., CrookA.J.L., DutkoM., YuJ.G., SkachkovS.et al. 2011. Reservoir stress path characterization and its implications for fluid‐flow production simulations. Petroleum Geoscience17, 335–344.
    [Google Scholar]
35. SelwoodC.2010. Researching the optimum bandwidth to extract 4D time shifts. MSc. Dissertation, University of Leeds.
    [Google Scholar]
36. SmithS.S. and TsvankinI.2012. Modeling and analysis of compaction‐induced traveltime shifts for multicomponent seismic data. Geophysics77, T221–T237.
    [Google Scholar]
37. TraniM., ArtsR., LeeuwenburghO. and BrouwerJ.2011. Estimation of changes in saturation and pressure from 4D seismic AVO and time‐shift analysis. Geophysics76, C1–C17.
    [Google Scholar]
38. VerdonJ.P., AngusD.A., KendallJ‐M. and HallS.A.2008. The effect of microstructure and nonlinear stress on anisotropic seismic velocities. Geophysics73, D41–D51.
    [Google Scholar]
39. VerdonJ.P., KendallJ‐M., WhiteD.J. and AngusD.A.2011. Linking microseismic event observations with geomechanical models to minimise the risks of storing CO2 in geological formations. Earth and Planetary Science Letters305, 143–152.
    [Google Scholar]
40. WhitcombeD.N., ParamoP., PhilipN., ToomeyA., RedshawT. and LinnS.2010. The correlated leakage method – it's application to better quality timing shifts on 4D data. 72nd EAGE meeting, Barcelona, Spain, Expanded Abstracts, B037.