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Volume 67 Number 1
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

A review and analysis of post‐stack time‐lapse time‐shifts has been carried out that covers published literature supplemented by in‐house datasets available to the authors. Time‐shift data are classified into those originating from geomechanical effects and those due to fluid saturation changes. From these data, conclusions are drawn regarding the effectiveness of post‐stack time‐shifts for overburden and reservoir monitoring purposes. A variety of field examples are shown that display the range and magnitude of variation for each class of application. The underlying physical mechanisms creating these time‐shifts are then described, and linked to a series of generic and field‐specific rock physics calculations that predict their magnitudes. These calculations serve as a guide for practitioners wishing to utilize this information on their own datasets. Conclusions are drawn regarding the reliability of this attribute for monitoring purposes, and the extent to which further development is required and how it should be reported by authors.

© 2019 European Association of Geoscientists & Engineers © 2018 European Association of Geoscientists & Engineers
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2018-12-10
2024-04-23

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References

  1. AarreV.2007. Estimating 4D velocity changes and contact movement on the Norne field. Offshore Technology Conference, Houston, USA: Expanded Abstracts, 1–4.
  2. AarreV.2008. On the presence, and possible causes, of apparent lateral shifts below the Norne reservoir. 78th SEG Annual meeting, Las Vegas, USA, Expanded Abstracts, 3174–3178.
  3. AlsosT., OsdalB. and HoiasA.2009. The many faces of pressure changes in 4D seismic at the Svale field and its implication on reservoir management. 71st EAGE Annual meeting, Amsterdam, The Netherlands, Extended Abstracts, Y004.
  4. AlvarezE., MacBethC. and BrainJ.2016. Quantifying remaining oil saturation using time‐lapse seismic amplitude changes at fluid contacts. Petroleum Geoscience, 23, 238–250.
     [Google Scholar]
  5. AminiH. and MacBethC.2015. Calibration of rock‐stress sensitivity using 4D seismic data. 77th EAGE Annual meeting, Madrid, Spain, Extended Abstracts.
  6. AndersenT., SinkeK., WilcoxL. and KellyI.2011. 4D Interpretation of the Terra Nova field, a structural and stratigraphical complex field with small 4D signals. 73rd EAGE Annual meeting, Vienna, Austria, Extended Abstracts.
  7. AvsethP., SkjeiN. and SkalnesA.2013. Rock physics modelling of 4D time‐shifts and time‐shift derivatives using well log data – a North Sea demonstration. Geophysical Prospecting, 61, 380–390.
     [Google Scholar]
  8. BarkerT.B., ChenB.N., HagueP.F., MajainJ. and WongK.2008. Understanding the time‐lapse seismic response of a compacting carbonate field, offshore Sarawak, Malaysia. 3rd International Petroleum Technology Conference, Kuala Lumpur, Malaysia, Expanded Abstracts, 1–14.
  9. BarkvedO.I., KommedalJ.H., KristiansenT.G., BuerK., KjeilstadliR.M., HallerN., et al. 2005. Integrating continuous 4D seismic data into subsurface workflows. 67th EAGE Conference & Exhibition, Madrid, Spain, Extended Abstracts.
  10. BatzleM. and WangZ.1992. Seismic properties of pore fluids. Geophysics, 57, 1396–1408.
     [Google Scholar]
  11. BenguiguiA., RobertsG. and Shaw‐ChampionM.2012. Time‐lapse 2D seismic steamflood monitoring ‐ a case study from offshore republic of Congo, the Emeraude field. 74th EAGE Annual meeting, Extended Abstracts.
  12. BergmannP. and ChadwickA.2015. Volumetric bounds on subsurface fluid substitution using 4D seismic time shifts with an application at Sleipner, North Sea. Geophysics, 80, 153–165.
     [Google Scholar]
  13. BertrandA., FolstadP.G., LyngnesB., BuizardS, HoberH., PhamN., et al. 2014. Ekofisk life‐of‐field seismic: Operations and 4D processing. The leading Edge, 33, 142–148.
     [Google Scholar]
  14. Bishop, J.E. and DavisT.L.2014. Multi‐component seismic monitoring of CO2 injection at Delhi Field, Louisiana. First Break, 32, 43–48.
     [Google Scholar]
  15. BrainJ.2017. Results from a 4D seismic campaign to unlock the remaining potential from the Rotliegend gas fields of the Southern North Sea. 1st EAGE Workshop on Practical Reservoir Monitoring, Amsterdam, The Netherlands, Extended Abstracts.
  16. BrainJ., LassagneT., DarnetM. and van LoevezijnP.2017. Unlocking 4D seismic technology to maximize recovery from the pre‐salt Rotliegend gas fields of the Southern North Sea. 8th Petroleum Geology Conference series, London, UK, Expanded Abstracts, 1–7.
  17. ByerlyG., PedersenJ., RoervikK.O., RanaweeraK. and JanssenA.2006. Reducing risk and monitoring water injection using time‐lapse (4D) seismic at the Ekofisk field. 76th SEG Annual meeting, New Orleans, USA, Expanded Abstracts, 3210–3214.
  18. CorzoM.M.2009. Pressure estimation using time‐lapse seismic in compacting reservoirs . PhD thesis, Institute of Petroleum Engineering, Heriot‐Watt University, UK.
  19. CoxB. and HatchellP.2008. Straightening out lateral shifts in time‐lapse seismic. First Break, 26, 93–98.
     [Google Scholar]
  20. De GennaroS., GrandiA., EscobarI., OnaisiA., Ben‐BrahimL., JoffroyG., et al. 2008. Integrating 4D seismic, geomechanics, and reservoir simulations in the Elgin and Franklin fields. 70th EAGE Annual meeting, Rome, Italy, Extended Abstracts, E019.
  21. DoornhofD., KristiansenT.G., NagelN.B., PattilloP.D. and SayersC.2016. Compaction and subsidence. Oilfield Review, 18, 50–68.
     [Google Scholar]
  22. DybvikO.P., GemmerL., TheuneU. and OstmoS.2009. Establishing a geomechanical workflow for time‐lapse modelling of an HPHT field. 71st EAGE Annual meeting, Amsterdam, The Netherlands, Extended Abstracts.
  23. EbaidH., TuraA., NasserM., HatchellP., SmitF., PayneN., et al. 2008. First dual‐vessel high‐repeat GoM 4D shows development options at Holstein field. The Leading Edge, 27, 1622–1625.
     [Google Scholar]
  24. FalahatR.2012. Quantitative monitoring of gas injection, exsolution and dissolution using 4D seismic. PhD thesis, Heriot‐Watt University, UK.
  25. FalahatR., ObidegwuD., ShamsA. and MacBethC.2014. The interpretation of amplitude changes in 4D seismic data arising from gas exsolution and dissolution. Petroleum Geoscience, 20, 303–320.
     [Google Scholar]
  26. FalahatR., ShamsA. and MacBethC.2010. Towards quantitative evaluation of gas injection using time‐lapse seismic data. Geophysical Prospecting, 59, 310–322.
     [Google Scholar]
  27. FehmersG.2010. How compaction causes misalignment of multiples and false time shifts in time‐lapse seismic data. First Break, 28, 35–40.
     [Google Scholar]
  28. FehmersG.C., HuntK., BrainJ.P., BerglerS., KaestnerU., SchutjensP.M., et al. 2007. Curlew D ‐ Pushing the boundaries of 4D depletion signal in a gas condensate field, UK Central North Sea. 69th EAGE Annual meeting, London, UK, Extended Abstracts, P074.
  29. FjaerE., HoltR.M., HorsrudP., RaaenA.M. and RisnesR.2008. Petroleum Related Rock Mechanics . 2nd edn. Elsevier Science.
  30. FuckR.F., TsvankinI. and BakulinA.2010. Influence of background heterogeneity on traveltime shifts for compacting reservoirs. Geophysical Prospecting, 59, 78–89.
     [Google Scholar]
  31. Gaiser, J.2016. 3C Seismic and VSP: Converted Waves and Vector Wavefield Applications. SEG Books
     [Google Scholar]
  32. GarciaA., MacBethC. and DomesF.2010. Analysis and implications of lateral shifts observed in 4D seismic data. 80th SEG Annual meeting, Denver, USA, Expanded Abstracts.
  33. GassmannF.1951. Über die Elastizität poröser Medien. Vierteljahrs‐schrift der Naturforschenden Gesellschaft in Zürich, 96, 1–23.
     [Google Scholar]
  34. GeertsmaJ.1973. A basic theory of subsidence due to reservoir compaction: The homogeneous case. Verhandelingen Kon. Ned. Mijnbouwk. Gen., 28, 43–62.
     [Google Scholar]
  35. GonzalezG.2016. Searching for – and finding! Gravitational waves. Physics Colloquia Series: LIGO Special. University of Oxford.
     [Google Scholar]
  36. GrandiA., RahmanovO., NeilloV., BourgeoisF., DeplantéC. and Ben‐BrahimL.2010. Time lapse monitoring of the Elgin HPHT Field. 72nd EAGE Annual meeting, Barcelona, Spain, Extended Abstracts.
  37. GrandiA., WnuquierS., CummingH., DeplantéC. and HubansC.2009. Quantitative 4D time lapse characterisation: three examples. 79th SEG Annual meeting, Houston, USA, Expanded Abstracts, 3815–3819.
  38. GrudeS., LandrøM. and OsdalB.2013. Time‐lapse pressure‐saturation discrimination for CO2 storage at the Snohvit field. International Journal of Greenhouse Gas Control, 19,369–378.
     [Google Scholar]
  39. GuilbotJ. and SmithB.2002. 4‐D constrained depth conversion for reservoir compaction estimation: Application to Ekofisk field. The Leading Edge, 21, 302–308.
     [Google Scholar]
  40. HaleD.2007. A method for estimating apparent displacement vectors from time lapse seismic images. Geophysics, 74, V99–V107.
     [Google Scholar]
  41. HaleD., CoxB. and HatchellP.2008. Apparent horizontal displacements in time‐lapse seismic images. 78th SEG Annual meeting, Las Vegas, USA, Expanded Abstracts, 3169–3173.
  42. HallS.A., MacBethC., BarkvedO.I. and WildP.2002. Time‐lapse seismic monitoring of compaction and subsidence at Valhall through cross‐matching and interpreted warping of 3D streamer and OBC data. 72nd SEG Annual meeting, Salt Lake City, USA, Expanded Abstracts, 1696–1699.
  43. HallS.A., MacBethC., BarkvedO.I. and WildP.2005. Cross‐matching with interpreted warping of 3D streamer and 3D ocean‐bottom‐cable data at Valhall for time‐lapse assessment. Geophysical Prospecting, 53, 283–297.
     [Google Scholar]
  44. HallS.A., MacBethC., StammeijerJ., and OmerodM.2006. Time‐lapse seismic analysis of pressure depletion in the Southern Gas Basin. Geophysical Prospecting, 54, 63–73.
     [Google Scholar]
  45. HanD. and BatzleM.L.2004. Gassmann's equation and fluid‐saturation effects on seismic velocities. Geophysics, 69, 398–405.
     [Google Scholar]
  46. HanD. and SunM.2013. Velocity and density of water with dissolved CH4 and CO2. 83rd SEG Annual meeting, Houston, USA, Expanded Abstracts, 2846–2850.
  47. HanD., YaiQ. and ZhaoH.2007. Complex properties of heavy oil sand. 77th SEG Annual meeting, San Antonio, USA, Expanded Abstracts, 1609–1613.
  48. HatchellP.J., van den BeukelA., MolenaarM.M., MaronK.P., KenterC.J., StammeijerJ.G.F., et al. 2003. Whole earth 4D: monitoring geomechanics. 73rd SEG Annual meeting, Expanded Abstracts, 1330–1333.
  49. HatchellP. J. and BourneS.J.2005a. Rocks under strain: Strain‐induced time‐lapse time shifts are observed for depleting reservoirs. The Leading Edge, 24, 1222–1225.
     [Google Scholar]
  50. HatchellP.J. and BourneS.J.2005b. Measuring reservoir compaction using time‐lapse timeshifts. 75th SEG Annual meeting, Houston, USA, Expanded Abstracts, 2500–2504.
  51. HatchellP.J., JorgensenO., GommesenL. and StammeijerJ.2007. Monitoring reservoir compaction from subsidence and time‐lapse timeshifts in the Dan field. 77th SEG Annual International Meeting, San Antonio, USA, Expanded Abstracts, 2867–2871.
  52. HawkinsK.2008. Estimation of 4D anisotropy above the Elgin reservoir from 4D seismic time shifts and compaction considerations. 70th Annual Meeting, Rome, Italy, Extended Abstracts, E006.
  53. HerwangerJ., PalmerE. and SchiøttC.R.2007. Anisotropic velocity changes in seismic time‐lapse data. 77th SEG Annual meeting, San Antonio, USA, Expanded Abstracts, 2883–2887.
  54. HerwangerJ.V., SchiøttC.R., FrederiksenR., IfF., VejbaekO.V., WoldR., et al. 2010. Applying time‐lapse seismic methods to reservoir management and field development planning at South Arne, Danish North Sea. Proceedings of the 7th Petroleum Geology Conference, Geological Society, London, 523–535.
  55. HodgsonN.2009. Inversion for reservoir pressure change using overburden strain measurements determined from 4D seismic . PhD thesis, Heriot‐Watt University, UK.
  56. HodgsonN., MacBethC., DurantiL., RickettJ. and NiheiK.2007. Inverting for reservoir pressure change using time‐lapse time strain: Application to Genesis, Field, Gulf of Mexico. The Leading Edge, 26, 649–652.
     [Google Scholar]
  57. HoltR.M., FjærE., NewO.M. and Stenebråten, J. F.2008. Strain sensitivity of wave velocities in sediments and sedimentary rocks. 42nd U.S. Rock Mechanics Symposium, San Francisco, USA, Expanded Abstracts, ARMA08–291.
  58. HuangY., MacBethC., BarkvedO. and Van GestelJ.‐P.2011. Enhanced dynamic interpretation at the Valhall Field by correlating well activity to 4D seismic signatures. First Break, 29, 37–44.
     [Google Scholar]
  59. IvanovaA., KashubinA., JuhojunttiN., KummerowJ., HenningesJ., JuhlinC., et al. 2012. Monitoring and volumetric estimation of injected CO2 using 4D seismic, petrophysical data, core measurements and well logging: a case study at Ketzin, Germany. Geophysical Prospecting, 60, 957–973.
     [Google Scholar]
  60. JenkinsS.D., WaiteM.W. and BeeM.F.1997. Time‐lapse monitoring of the Duri steamflood: Pilot and case study. The Leading Edge, 16, 1267–1274.
     [Google Scholar]
  61. JiL.2017. Integrating 4D seismic data into dynamic characterization of an HPHT reservoir . PhD thesis, Heriot‐Watt University, UK.
  62. KudarovaA., HatchellP., BrainJ. and MacBethC.2016. Offset‐dependence of production‐related 4D time shifts: real data examples and modeling. 86th SEG Annual Meeting, Dallas, USA, Expanded Abstracts.
  63. KudarovaA., HatchellP., BrainJ. and MacBethC.2016. Offset‐dependence of production‐related 4D time shifts: real data examples and modelling. 86th SEG Annual Meeting, Denver, USA, Expanded Abstracts, 5395–5399.
  64. La FolletJ.R., WillsP., LopezJ.L., Przybysz‐JarnutJ.K. and van LokvenM.2015. Continuous seismic reservoir monitoring at Peace River: Initial results and interpretation. 85th SEG Annual Meeting, New Orleans, USA, Expanded Abstracts, 5440–5444.
  65. LandrøM., DigranesP. and StrønenK.2004. Pressure depletion measured by time‐lapse VSP. The Leading Edge, 24, 1226–1232.
     [Google Scholar]
  66. LandrøM. and StammeijerJ.2004. Quantitative estimation of compaction and velocity changes using 4D impedance and travel‐time changes. Geophysics, 69, P949–P957.
     [Google Scholar]
  67. LieE.O.2011. Constrained time‐shift estimation. 73rd EAGE Annual Meeting, Vienna, Austria, Extended Abstracts.
  68. MacBethC., Kudarova, A. and Hatchell, P.2018. Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation. Geophysical Prospecting, 66, 1327–1348.
     [Google Scholar]
  69. NgH.T., BentleyL.R. and KrebesE.S.2005. Monitoring fluid injection in a carbonate pool using time‐lapse analysis: Rainbow Lake case study. The Leading Edge, 24, 530–534.
     [Google Scholar]
  70. NurA., MavkoG., DvorkinJ. and GalmundiD.1998. Critical porosity: A key to relating physical properties to porosity in rocks. The Leading Edge, 17, 357–362.
     [Google Scholar]
  71. ObidegwuD.2015. Seismic history matching using binary images . PhD thesis, Heriot‐Watt University, UK.
  72. OmofomaV.2017. The quantification of pressure and saturation changes in clastic reservoirs using 4D seismic data . PhD thesis, Heriot‐Watt University, UK.
  73. OmofomaV. and MacBethC.2016. Quantification of reservoir pressure‐sensitivity using multiple monitor 4D seismic data. 78th EAGE Annual meeting, Vienna, Austria, Extended Abstracts, 1–5.
  74. RangelR.2016. The impact of shale pressure diffusion on 4D seismic interpretation . PhD thesis, Heriot‐Watt University, UK.
  75. RickettJ., DurantiL., HudsonT., RegelB. and HodgsonN.2007. 4D time strain and the seismic signature of geomechanical compaction at Genesis. The Leading Edge, 26, 644–647.
     [Google Scholar]
  76. RossP. and AltanM.S.1997. Time‐lapse seismic monitoring some shortcomings in nonuniform processing. The Leading Edge, 16, 931–937.
     [Google Scholar]
  77. RøsteT., DybvikO.P. and SoreideO.K.2015. Overburden 4D time shifts induced by reservoir compaction at Snorre Field. The Leading Edge, 34, 1366–1374.
     [Google Scholar]
  78. Røste, T. and KeG.2017. Overburden 4D time shifts – Indicating undrained areas and fault transmissibility in the reservoir. The Leading Edge, 36, 423–430.
     [Google Scholar]
  79. Røste, T., Landrø, M. and Hatchell, P.2007. Monitoring overburden layer changes and fault movements from time‐lapse seismic data on the Valhall Field. Geophysical Journal International, 170, 1100–1118.
     [Google Scholar]
  80. Røste, T., Stovas, A. and Landrø, M.2005. Estimation of layer thickness and velocity changes using 4D pre‐stack seismic data. 67th EAGE Annual Meeting, Madrid, Spain, Extended Abstracts.
  81. SalakoO., MacBethC. and MacGregorL.2015. Potential applications of time‐lapse CSEM to reservoir monitoring. First Break, 33, 35–46.
     [Google Scholar]
  82. SantosJ.M.C., DavolioA., MacBethC. and SchiozerD.2016. 4D seismic interpretation of the Norne field – a semi‐quantitative approach. 78th EAGE Annual meeting, Vienna, Austria, Extended Abstracts, LHR2.
  83. SaulM. and LumleyD.2015. The combined effects of pressure and cementation on 4D seismic data. Geophysics, 80, 135–148.
     [Google Scholar]
  84. Schiltz, K., Zeigler, L. and GrayD.2014. Improved reservoir characterization and monitoring of the Long Lake heavy oil SAGD project using time‐lapse multicomponent seismic data. First Break, 32, 87–94.
     [Google Scholar]
  85. SchutjensP., HindriksK., Van der HorstJ., HatchellP., Van den BeukelA., BarkerT., et al. 2005. Reservoir monitoring with seismic timeshifts: geomechanical modeling for its application in stacked pay. International Petroleum Technology Conference, Doha, Katar, Expanded Abstracts, 21–23.
  86. SkaugeA., and OttesenB.2002. A summary of experimentally derived relative permeability and residual saturation on North Sea reservoir cores. International Symposium of the SCA, Monterey, USA, Expanded Abstracts, 1–12.
  87. SpencerA. M., BriskebyP. I., ChristensenL. D., FoynR., KjøllebergM., and KvadsheimE.2008. Petroleum geoscience in Norden – exploration, production and organization. Episodes, 31,115–124.
     [Google Scholar]
  88. Staples, R., ItaJ., BurrellR. and NashR.2007b. Monitoring pressure depletion and improving geomechanical models of the shearwater field using 4D seismic. The Leading Edge, 26, 636–642.
     [Google Scholar]
  89. StaplesR., NashR., HagueP. and BurrellR.2007a. Using 4D seismic data and geomechanical modelling to understand pressure depletion in HPHT fields of the Central N. Sea. 69th EAGE Annual meeting, London, UK, Extended Abstracts.
  90. StephenK.D. and MacBethC.2006. Seismic history matching in the UKCS Schiehallion field. First Break, 24, 43–49.
     [Google Scholar]
  91. TeeuwD.1971. Prediction of formation compaction from laboratory compressibility data. Society of Petroleum Engineers Journal, 11, 263–271.
     [Google Scholar]
  92. TianS.2014. Closing the loop by engineering consistent 4D seismic to simulator inversion . PhD thesis, Heriot‐Watt University, UK.
  93. Trani, M., Arts, R., Leeuwenburgh, O. and BrouwerJ.2011. Estimation of changes in saturation and pressure from 4D seismic AVO and time‐shift analysis. Geophysics, 76, C1–C17.
     [Google Scholar]
  94. TuraA., BarkerT., CattermoleP., CollinC., DavisJ., HatchellP., et al. 2005. Monitoring primary depletion reservoirs using amplitudes and time shifts from high‐repeat seismic surveys. The Leading Edge, 24, 1214–1221.
     [Google Scholar]
  95. VrachliotisS.2012. Evaluation of residual oil or gas using 4D seismic analysis . MSc thesis, Heriot‐Watt University, UK.
  96. WongM.2017. Pressure and saturation estimation from PRM time‐lapse seismic data for a compacting reservoir . PhD thesis, Heriot‐Watt University, UK.
  97. ZadehH.M., SrivastavaR.P., VedantiN. and LandrøM.2010. Seismic monitoring of in situ combustion process in a heavy oil field. Journal of Geophysical Engineering, 7, 16–29.
     [Google Scholar]
  98. ZimmermanR.W.2017. Pore volume and porosity changes under uniaxial strain conditions. Transport in Porous Media, 119, 481–498.
     [Google Scholar]
  99. Zwartjes, P.M., Wills De Maag, P.J.W. and HatchellP.2008. Shallow and deep time‐lapse effects on Valhall LoFS converted wave data. 70th EAGE Conference, Expanded Abstracts, G040.
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Review Paper: Post‐stack 4D seismic time‐shifts: Interpretation and evaluation
Geophysical Prospecting 67, 3 (2019); https://doi.org/10.1111/1365-2478.12688
/content/journals/10.1111/1365-2478.12688
/content/journals/10.1111/1365-2478.12688
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  • Article Type: Review Article
Keyword(s): 4D seismic interpretation; 4D time‐shifts; geomechanics; saturation

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