1887
  1. Home
  2. A-Z Publications
  3. Geophysical Prospecting
  4. Volume 49, Issue 5
  5. Article
Volume 49 Number 5
  • E-ISSN: 1365-2478

Abstract

In order to plan surveys for seismic time‐lapse studies, seismograms are usually simulated for a set of earth models corresponding to different stages of the oil production process. This can be expensive because, for reasons of accuracy, finite‐difference (FD) modelling is very often applied.We present the Born repeat‐modelling technique (BRM), which is a combination of FD modelling and perturbation theory. Production effects are considered as small perturbations of the earth model, and the Born approximation is used to compute the change in the wavefield due to production‐induced modifications to the reservoir properties. This is very efficient in the situation described above.We give a detailed description of the proposed modelling scheme and discuss its applicability. The theoretical foundations of BRM are presented for onshore seismic experiments, and an extension to the case of marine (pressure) seismograms is derived. In addition, the performance of BRM is demonstrated with several numerical examples.

Loading

Article metrics loading...

/content/journals/10.1046/j.1365-2478.2001.00275.x
2008-07-07
2024-04-25

  • From This Site

    /content/journals/10.1046/j.1365-2478.2001.00275.x
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. AkiK. & RichardsP.G.1980. Quantitative Seismology, Volume 1: Theory and Methods. W.H. Freeman & Co.
  2. BiondiB., MavkoG., MukerijT., RicketJ., LumleyD., DeutschC. et al. , 1998. Reservoir monitoring: a multidisciplinary feasibility study. The Leading Edge17, 1404–1414.
    [Google Scholar]
  3. ChapmanC.H. & CoatesR.T.1993. Generalized Born scattering in anisotropic media. Wave Motion19, 309–341.
    [Google Scholar]
  4. GjøystdalH., LecomteI., MjelvaA.E., MaaøF., HøkstadK., JohansenT.A.1998. Fast repeated seismic modelling of local complex targets. 68th SEG meeting, New Orleans, USA, Expanded Abstracts, 1452–1455.
  5. GubernatisJ.E., DomanijE., KrumhanslJ.A.1977. Formal aspects of the theory of scattering of ultrasound by flaws in elastic materials. Journal of Applied Physics48, 2804–2811.
    [Google Scholar]
  6. GubernatisJ.E., DomanijE., KrumhanslJ.A., HubermanM.1977. Born approximation in the theory of the scattering of elastic waves by flaws. Journal of Applied Physics48, 2812–2819.
    [Google Scholar]
  7. HabashyT.M., GroomR.W., SpiesB.R.1993. Beyond the Born and Rytov approximations: a nonlinear approach to electromagnetic scattering. Journal of Geophysical Research98, 1759–1775.
    [Google Scholar]
  8. HøkstadK., LecomteI., MaaøF.A., TusethM., MjelvaE., GjøystdalH.E.A., SollieR.1998. Hybrid modelling of elastic wavefield propagation. 60th EAGE conference, Leipzig, Germany, Extended Abstracts, 05‐56.
  9. HudsonJ.A. & HeritageJ.R.1981. The use of the Born approximation in seismic scattering problems. Geophysical Journal of the Royal Astronomical Society66, 221–240.
    [Google Scholar]
  10. JenkinsS.D., WaiteM.W., BeeM.F.1997. Time‐lapse monitoring of the Duri steamflood: a pilot and case study. The Leading Edge16, 1267–1273.
    [Google Scholar]
  11. KarrenbachM.1995. Elastic tensor wavefields. PhD thesis, Stanford University.
  12. KirchnerA. & ShapiroS.A.1998. Making the simulation of monitoring experiments more efficient. 60th EAGE conference, Leipzig, Germany, Extended Abstracts, 05‐54.
  13. KirchnerA. & ShapiroS.A.1999. Fast repeat‐modelling with Born approximation. 61st EAGE conference, Helsinki, Finland, Extended Abstracts, 40‐11.
  14. LecomteI.1996. Hybrid modelling with ray tracing and finite difference. 66th SEG meeting, Denver, USA, Expanded Abstracts, 699–702.
  15. MittetR. & ArntsenB.1998. A 3D elastic hybrid modelling scheme. 60th EAGE conference, Leipzig, Germany, Extended Abstracts, 05‐55.
  16. RobertssonJ.O.A. & ChapmanC.H.2000. An efficient method for calculating finite‐difference seismograms after model alterations. Geophysics65, 907–918.
    [Google Scholar]
  17. RobertssonJ.O.A., Ryan‐GrigorS., SayersC.M., ChapmanC.H.2000. A finite‐difference injection approach to modelling of seismic fluid flow monitoring. Geophysics65, 896–906.
    [Google Scholar]
  18. RytovS.M., KravtsovY.A., TatarskiiV.A.1989. Principles of Statistical Radio Physics. Springer‐Verlag, Inc.
  19. SaengerE.H., GoldN., ShapiroS.A.2000. Modeling the propagation of elastic waves using a modified finite‐difference grid. Wave Motion31, 77–92.DOI: 10.1016/s0165-2125(99)00023-2
     [Google Scholar]
  20. SheriffR.E.1991. Encyclopedic Dictionary of Exploration Geophysics. Society of Exploration Geophysicists.
     [Google Scholar]
  21. SimmR., UdenR.H., BufordS., PlummerC., HarrisonP., JohnsonR.1997. 4D seismic modelling – Nelson field, central North Sea. 59th EAGE conference, Geneva, Switzerland, Extended Abstracts, B043.
  22. UrsinB. & TygelM.1997. Reciprocal volume and surface scattering integrals for anisotropic elastic media. Wave Motion26, 31–42.DOI: 10.1016/s0165-2125(97)00015-2
     [Google Scholar]
  23. VersteegR.1994. The Marmousi experience: Velocity model determination on a synthetic complex data set. The Leading Edge13, 927–936.
    [Google Scholar]
  24. VirieuxJ.1986. Velocity‐stress finite‐difference method. Geophysics51, 889–901.
    [Google Scholar]
  25. WintersteinD., StefaniJ., JohnsonS., JulanderD.1998. 9‐C time‐lapse VSP monitoring of steam injection at Cymric oil field. The Leading Edge17, 527–536.
    [Google Scholar]
  26. WuR.‐S.1989. The perturbation method in elastic wave scattering. Pure and Applied Geophysics131, 605–637.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1046/j.1365-2478.2001.00275.x
Loading
Fast repeat‐modelling of time‐lapse seismograms
Geophysical Prospecting 49, 557 (2001); https://doi.org/10.1046/j.1365-2478.2001.00275.x
/content/journals/10.1046/j.1365-2478.2001.00275.x
/content/journals/10.1046/j.1365-2478.2001.00275.x
Loading

Data & Media loading...

  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error