1887
Volume 53, Issue 2
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Ghawar, the largest oilfield in the world, produces oil from the Upper Jurassic Arab‐D carbonate reservoir. The high rigidity of the limestone–dolomite reservoir rock matrix and the small contrast between the elastic properties of the pore fluids, i.e. oil and water, are responsible for the weak 4D seismic effect due to oil production. A feasibility study was recently completed to quantify the 4D seismic response of reservoir saturation changes as brine replaced oil. The study consisted of analysing reservoir rock physics, petro‐acoustic data and seismic modelling. A seismic model of flow simulation using fluid substitution concluded that time‐lapse surface seismic or conventional 4D seismic is unlikely to detect the floodfront within the repeatability of surface seismic measurements. Thus, an alternative approach to 4D seismic for reservoir fluid monitoring is proposed. Permanent seismic sensors could be installed in a borehole and on the surface for passive monitoring of microseismic activity from reservoir pore‐pressure perturbations. Reservoir production and injection operations create these pressure or stress perturbations. Reservoir heterogeneities affecting the fluid flow could be mapped by recording the distribution of epicentre locations of these microseisms or small earthquakes. The permanent borehole sensors could also record repeated offset vertical seismic profiling surveys using a surface source at a fixed location to ensure repeatability. The repeated vertical seismic profiling could image the change in reservoir properties with production.

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2005-02-14
2024-04-25
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References

  1. Al‐HusseiniM.I.1997. Jurassic sequence stratigraphy of the Western and Southern Arabian Gulf. Geoarabia2, 361–382.
    [Google Scholar]
  2. Arabian American Oil Company
    Arabian American Oil Company1959. Ghawar oil field, Saudi Arabia. AAPG Bulletin43, 434–454.
    [Google Scholar]
  3. CliffordP.J., TrythallR., ParrR.S., MouldsT.P., CookT., AllanP.M. and SutcliffeP.2003. Integration of 4D seismic data into the management of oil reservoirs with horizontal well between fluid contacts. Society of Petroleum Engineers , SPE No. 83956. Offshore Europe 2003, Aberdeen .
    [Google Scholar]
  4. DyerB.C., JonesR., CowlesH., BarkvedO. and FolstadP.G.1999. Microseismic survey of a North Sea reservoir. World Oil3, 74–77.DOI: 10.1029/96JB03739
    [Google Scholar]
  5. JackI.1996. West of Shetlands 4D seismic program – a case study of the FARM project (Foinaven active reservoir monitoring). Advances in Reservoir Technology , ART '96. London .
    [Google Scholar]
  6. JackI.2001. 4D and multi‐component seismic developments. First Break19, 24–45.DOI: 10.1046/j.1365-2397.2001.00143.x
    [Google Scholar]
  7. JonesR.H. and StewartR.C.1997. A method for determining significant structures in a cloud of earthquakes. Journal of Geophysical Research102, 8245–8254.
    [Google Scholar]
  8. JupeA., CowlesJ. and JonesR.1998. Microseismic monitoring: Listen and see the reservoir. World Oil, December, 171–174.
    [Google Scholar]
  9. LandrøM.1999. Repeatability issues of 3‐D VSP data. Geophysics64, 1673–1679.
    [Google Scholar]
  10. LumleyD.E.2001. The next wave in reservoir monitoring: The instrumented oil field. The Leading Edge6, 640–648.
    [Google Scholar]
  11. LygrenM., FagervikK., ValenT.S., HetlelidA., BergeG., DahlG.V.et al.2003. A method for performing history matching of reservoir flow models using 4D seismic data. Petroleum Geoscience1, 85–90.
    [Google Scholar]
  12. MaxwellS.C. and UrbancicT.I.2001. The role of passive microseismic in the instrumented oil field. The Leading Edge6, 636–639.
    [Google Scholar]
  13. MitchellJ.C., LehmannP.J., CantrellD.L., Al‐JallalI.A. and Al‐ThagfayM.A.R.1988. Lithofacies, diagenesis and depositional sequence; Arab‐D ember, Ghawar Field, Saudi Arabia. SEPM Core Workshop12.
    [Google Scholar]
  14. MjaalandS., WulffA.M., CausseE. and NyhavnA.2000. Integrating seismic monitoring and intelligent wells. Society of Petroleum Engineers , SPE No. 62878. SPE Annual Technical Conference and Exhibition, Dallas .
    [Google Scholar]
  15. ShapiroS.A., HuengesE. and BormG.1997. Estimating the crust permeability from the fluid‐injection induced seismic emission at the KTB site. Geophysical Journal International131, 15–18.
    [Google Scholar]
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