1887
Volume 62 Number 4
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Fractures and faults within a reservoir can provide important pathways for the movement of reservoir fluids. Understanding the character and properties of these features on a range of length scales can be vital for the efficient exploitation of natural resources, whether it be enhanced oil and gas recovery, the safe storage of CO, or better exploitation of geothermal heat. The monitoring of microseismicity within a reservoir illuminates active faults, but these events can be also used to characterize fracture networks through measurements of seismic anisotropy. In this study we use microseismic data acquired over an 18‐day period in April 1997 at the Ekofisk oil field in the North Sea. Using the analysis of seismic multiplets we delineate a number of sub‐vertical tectonic faults, which are consistent with previous core data analysis and seismic reflection work. We use shear wave splitting measurements, which are indicative of fracture‐induced seismic anisotropy, to infer the orientation of aligned aseismic fracture sets within the reservoir. The estimated fracture dip and strike from the shear wave splitting analysis are consistent with the active tectonic fractures characterized by the multiplets, but this analysis also illuminates spatial variations in fracture properties. Such monitoring on a longer term and with multiple wells is a promising tool for better understanding fracture and fault‐controlled flow within reservoirs.

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2014-05-23
2024-04-24
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References

  1. Al‐HarrasiO.H., Al‐AnbooriA., WuestefeldA. and KendallJ.‐M.2011. Seismic anisotropy in hydrocarbon field estimated from seismic data. Geophysical Prospecting59 (2), 227–243.
    [Google Scholar]
  2. ArrowsmithS.J. and EisnerL.2006. A technique for identifying microseismic multiplets and application to the Valhall field, North Sea. Geophysics71 (2), V31–V40.
    [Google Scholar]
  3. BrewsterJ., DangerfieldJ.A. and FarrelH.1986. The geology and geophysics of the Ekofisk field waterflood. Marine and Petroleum Geology3 (2), 139–169.
    [Google Scholar]
  4. De MeersmanK., KendallJ.‐M. and van der BaanM.2009. The 1998 Valhall microseismic data set: An integrated study of relocated sources, seismic multiplets, and S‐wave splitting. Geophysics74 (5), B183–B195.
    [Google Scholar]
  5. De MeersmanK., van der BaanM. and KendallJ.‐M.2006. Signal extraction and automated polarization analysis of multicomponent array data. Bulletin of the Seismological Society of America96 (6), 2415–2430.
    [Google Scholar]
  6. DeichmannN. and Garcia‐FernandezM.1992. Rupture geometry for high‐precision relative hypocentre locations of microearthquake clusters. Geophysical Journal International110, 501–517.
    [Google Scholar]
  7. DyerB.C., SchanzU., SpillmannT., LadnerF. and RingM.O.H.2010. Application of microseismic multiplet analysis to the Basel geothermal reservoir stimulation events. Geophysical Prospecting58, 791–807.
    [Google Scholar]
  8. EisnerL., FischerT. and RutledgeT.2009. Determination of S‐wave slowness from a linear array of borehole receivers. Geophysical Journal International176, 31–39.
    [Google Scholar]
  9. EvansM.D.1966. Man‐made earthquakes in Denver. Geotimes10, 11–17.
    [Google Scholar]
  10. FlinnE.1965. Signal analysis using rectilinearity and direction of particle motion. Proceedings of the IEEE53, 491–502.
    [Google Scholar]
  11. GellerR.J. and MuellerC.S.1980. Four similar earthquakes in Central California. Geophysical Research Letters7 (10), 821–824.
    [Google Scholar]
  12. GennaroM., WonhamJ., SælenG., WalgenwitzF., CalineB. and Faÿ‐GomordO.2013. Characterization of dense zones within the danian chalks of the Ekofisk Field, Norwegian north sea. Petroleum Geoscience19 (1), 39–64.
    [Google Scholar]
  13. HealyJ.H., RubeyW.W., GriggsD.T. and RaleighC.B.1968. The Denver Earthquakes. Science161 (3848), 1301–1310.
    [Google Scholar]
  14. JolliffeI.T.1986. Principal Component Analysis. Springer Series in Statistics. Springer.
    [Google Scholar]
  15. JonesG.A., KendallJ.‐M., BastowI.D. and RaymerD.G.2014. On locating microseismic events using borehole data. Geophysical Prospecting62 (1), 34–49.
    [Google Scholar]
  16. JonesG.A., RaymerD., ChambersK. and KendallJ.‐M.2010. Improved microseismic event location by inclusion of apriori dip particle motion: A case study from Ekofisk. Geophysical Prospecting58 (5), 727–737.
    [Google Scholar]
  17. KummerowJ.2010. Using the value of the crosscorrelation coefficient to locate microseismic events. Geophysics75 (4), MA47–MA52.
    [Google Scholar]
  18. MaxwellS.2010. Microseismic: Growth born from success. The Leading Edge29 (3), 338–343.
    [Google Scholar]
  19. MaxwellS. and UrbancicT.I.2001. The role of passive microseismic monitoring in the instrumented oil field. The Leading Edge20, 636–639.
    [Google Scholar]
  20. MaxwellS.C., YoungR.P., BossuR. and DangerfieldJ.1998. Microseismic Logging of Ekofisk Reservoir. SPE/ISRM 47276 presented at Eurock 98 SPE/ISRM Rock Mechanics in Petroleum Engineering Conference, 8‐10 July, Torndheim.
  21. MunnsJ.W.1985. The Valhall Field: A Geological Overview. Marine and Petroleum Geology60, 23–43.
    [Google Scholar]
  22. NarrW., SchechterD.W. and ThompsonL.B., 2006. Naturally Fractured Reservoir Characterization. Society of Petroleum Engineers.
    [Google Scholar]
  23. OyeV. and RothM.2003. Automated seismic event location for hydrocarbon reservoirs. Computers and Geosciences29, 851–863.
    [Google Scholar]
  24. PearsonC.1981. The relationship between microseismicity and high pore pressures during hydraulic stimulation experiments in low permeability granitic rocks. Journal of Geophysical Research86 (B9), 7855–7864.
    [Google Scholar]
  25. PhillipsW.S., FairbanksT.D., RutledgeJ.T. and AndersonD.W.1998. Induced microearthquake patterns and oil‐producing fracture systems in Austin chalk. Tectonophysics289, 153–169.
    [Google Scholar]
  26. PhillipsW.S., RutledgeJ.T., HouseL.S. and FehlerM.C.2002. Induced microearthquake patterns in hydrocarbon and geothermal reservoirs: Six case studies. Pure and Applied Geophysics159, 345–369.
    [Google Scholar]
  27. PoupinetG., EllsworthW.L. and FréchetJ.1984. Monitoring velocity variations in the crust using earthquake doublets: An application to Calaveras Fault, California. Journal of Geophysical Research89 (B7), 5719–5731.
    [Google Scholar]
  28. PressW.H., TeukolskyS.A., VetterlingW.T. and FlanneryB.P.1996. Numerical Recipes in Fortran 77, The Art of Scientific Computing. Cambridge University Press.
    [Google Scholar]
  29. RaymerD., RutledgeJ. and JaquesP.2008. Semiautomated relative picking of microseismic events. In: 78 SEG Annual Meeting.
  30. RoweC., AsterR., PhillipsW., JonesR., BorchersB. and FehlerM.2002. Using automated, high‐precision repicking to improve delineation of microseismic structures at the Soultz geothermal reservoir. Pure and Applied Geophysics159, 563–596.
    [Google Scholar]
  31. RutledgeJ.T. and PhillipsW.S.2003. Hydraulic stimulation of natural fractures as revealed by induced microearthquakes, Carthage, Cotton Valley gas field, east Texas. Geophysics68 (2), 441–452.
    [Google Scholar]
  32. ScarfiL., LangerH. and GrestaS.2003. High‐precision relative locations of two microearthquake clusters in southeastern Sicily, Italy. Bulletin of the Seismological Society of America93 (4), 1479–1497.
    [Google Scholar]
  33. SchoenbergM. and SayersC.M.1996. Seismic anisotropy of fractured rock. Geophysics60 (1), 204–211.
    [Google Scholar]
  34. SilverP. and ChanW., 1991. Shear‐wave splitting and subcontinental mantle deformation. Journal of Geophysical Research96 (16), 16429–16454.
    [Google Scholar]
  35. TeanbyN., KendallJ.‐M., JonesR. and BarkvedO.2004a. Stress‐induced temporal variations in seismic anisotropy observed in microseismic data. Geophysical Journal International156, 459–466.
    [Google Scholar]
  36. TeanbyN., KendallJ.‐M. and van der BaanM.2004b. Automation of shear‐wave splitting measurements using cluster analysis. Bulletin of the Seismological Society of America94 (2), 453–463.
    [Google Scholar]
  37. TeufelL.W. and RheuttD.W.1993. Control of fractured reservoir permeability by spatial and temporal variations in stress magnitude and orientation. SPE Paper 26437.
  38. ThomasL., DixonT., EvansC. and VienotM., 1987. Ekofisk Pilot Waterflood. Journal of Petroleum Technology (39), 221–232.
    [Google Scholar]
  39. ToublancA., RenaudS., SylteJ.E., ClausenC.K., EibenT. and NadlandG.2005. Ekofisk Field: fracture permeability evaluation and implementation in the flow model. Petroleum Geoscience11, 321–330.
    [Google Scholar]
  40. VerdonJ.P. and KendallJ.‐M.2011. Detection of multiple fracture sets using observations of shear‐wave splitting in microseismic data. Geophysical Prospecting59 (4), 593–608.
    [Google Scholar]
  41. VerdonJ.P., KendallJ.‐M. and WuestefeldA.2009. Imaging fractures and sedimentary fabrics using shear wave splitting measurements made on passive seismic data. Geophysical Journal International179, 1245–1254.
    [Google Scholar]
  42. WuestefeldA., Al‐HarrasiO., VerdonJ., WookeyJ. and KendallJ.‐M.2010. A strategy for automated analysis of passive microseismic data to study seismic anisotropy and fracture characterisation. Geophysical Prospecting58 (5), 755–773.
    [Google Scholar]
  43. WuestefeldA. and BokelmannG.2007. Null detection in shear‐wave splitting measurements. Bulletin of the Seismological Society of America97 (4), 1204–1211.
    [Google Scholar]
  44. YilmazO.2001. Seismic data analysis: Processing, inversion, and interpretation of seismic data. Society of Exploration Geophysicists.
    [Google Scholar]
  45. ZobackM.D. and ZinkeJ.C.2002. Production‐induced normal faulting in the Valhall and Ekofisk oil fields. Pure and Applied Geophysics159, 403–420.
    [Google Scholar]
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