1887
Volume 52, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

We present a migration velocity analysis (MVA) method based on wavefield extrapolation. Similarly to conventional MVA, our method aims at iteratively improving the quality of the migrated image, as measured by the flatness of angle‐domain common‐image gathers (ADCIGs) over the aperture‐angle axis. However, instead of inverting the depth errors measured in ADCIGs using ray‐based tomography, we invert ‘image perturbations’ using a linearized wave‐equation operator. This operator relates perturbations of the migrated image to perturbations of the migration velocity. We use prestack Stolt residual migration to define the image perturbations that maximize the focusing and flatness of ADCIGs.

Our linearized operator relates slowness perturbations to image perturbations, based on a truncation of the Born scattering series to the first‐order term. To avoid divergence of the inversion procedure when the velocity perturbations are too large for Born linearization of the wave equation, we do not invert directly the image perturbations obtained by residual migration, but a linearized version of the image perturbations. The are computed by a linearized prestack residual migration operator applied to the background image. We use numerical examples to illustrate how the backprojection of the linearized image perturbations, i.e. the gradient of our objective function, is well behaved, even in cases when backprojection of the original image perturbations would mislead the inversion and take it in the wrong direction.

We demonstrate with simple synthetic examples that our method converges even when the initial velocity model is far from correct. In a companion paper, we illustrate the full potential of our method for estimating velocity anomalies under complex salt bodies.

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2004-11-02
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References

  1. BiondiB.1997. Azimuth moveout + common‐azimuth migration: Cost‐effective prestack depth imaging of marine data. 67th SEG meeting, Dallas , USA , Expanded Abstracts, 1375–1378.
  2. BiondiB. and PalacharlaG.1996. 3D prestack migration of common‐azimuth data. Geophysics61, 1822–1832.
    [Google Scholar]
  3. BiondiB. and SavaP.1999. Wave‐equation migration velocity analysis. 69th SEG meeting, Houston , USA , Expanded Abstracts, 1723–1726.
  4. BunksC., SaleckF.M., ZaleskiS. and ChaventG.1995. Multiscale seismic waveform inversion. Geophysics60, 1457–1473.
    [Google Scholar]
  5. ChaventG. and JacewitzC.A.1995. Determination of background velocities by multiple migration fitting. Geophysics60, 476–490.
    [Google Scholar]
  6. ClaerboutJ.F.1985. Imaging the Earth's Interior . Blackwell Scientific Publications.
    [Google Scholar]
  7. DahlenF.A., HungS.H. and NoletG.2000. Fréchet kernels for finite frequency traveltimes–I. Theory. Geophysical Journal International141, 157–174.DOI: 10.1046/j.1365-246X.2000.00070.x
    [Google Scholar]
  8. ForguesE., ScalaE. and PrattR.G.1998. High‐resolution velocity model estimation from refraction and reflection data. 68th SEG meeting, New Orleans , USA , Expanded Abstracts, 1211–1214.
  9. De HoopM., Le RousseauJ.H. and WuR.S.1996. Generalization of the phase‐screen approximation for the scattering of acoustic waves. Wave Motion31, 43–70.DOI: 10.1016/S0165-2125(99)00026-8
    [Google Scholar]
  10. HuangL.Y., FehlerM.C. and WuR.S.1999. Extended local Born Fourier migration method. Geophysics65, 1524–1534.DOI: 10.1190/1.1444656
    [Google Scholar]
  11. HungS.H., DahlenF.A. and NoletG.2000. Fréchet kernels for finite frequency traveltimes–II. Examples. Geophysical Journal International141, 175–203.DOI: 10.1046/j.1365-246X.2000.00072.x
    [Google Scholar]
  12. LoT.W. and InderweisenP.L.1994. Fundamentals of Seismic Tomography . Society of Exploration Geophysicists .
    [Google Scholar]
  13. MosherC.C., FosterD.J. and HassanzadehS.1997. Common angle imaging with offset plane waves. 67th SEG meeting, Dallas , USA , Expanded Abstracts, 1379–1382.
  14. NobleM., LindgrenJ. and TarantolaA.1991. Large‐sized nonlinear inversion of a marine data set: Retrieving the source, the background velocity and the impedance contrasts. 61st SEG meeting, Houston , USA , Expanded Abstracts, 893–896.
  15. O'BrienM.J. and EtgenJ.T.1998. Wavefield imaging of complex structures with sparse, point‐receiver data. 68th SEG meeting, New Orleans , USA , Expanded Abstracts, 1365–1368.
    [Google Scholar]
  16. PopoviciA.M.1996. Prestack migration by split‐step DSR. Geophysics61, 1412–1416.DOI: 10.1190/1.1444065
    [Google Scholar]
  17. PrattA.M.1999. Seismic waveform inversion in the frequency domain, Part I: Theory and verification in a physical scale model. Geophysics64, 888–901.DOI: 10.1190/1.1444597
    [Google Scholar]
  18. RistowD. and RühlT.1994. Fourier finite‐difference migration. Geophysics59, 1882–1893.DOI: 10.1190/1.1443575
    [Google Scholar]
  19. SavaP.2003. Prestack residual migration in the frequency domain. Geophysics67, 634–640.DOI: 10.1190/1.1567233
    [Google Scholar]
  20. SavaP. and BiondiB.2004. Wave‐equation migration velocity analysis. II. Examples. Geophysical Prospecting52, 607–623.
    [Google Scholar]
  21. SavaP. and FomelS.2002. Wave‐equation migration velocity analysis beyond the Born approximation. 72nd SEG meeting, Salt Lake City , USA , Expanded Abstracts, 2285–2288.
    [Google Scholar]
  22. SavaP. and FomelS.2003. Angle‐domain common image gathers by wavefield continuation methods. Geophysics68, 1065–1074.DOI: 10.1190/1.1581078
    [Google Scholar]
  23. ShenP.2003. Differential semblance velocity analysis by wave‐equation migration. 73rd SEG meeting, Dallas , USA , Expanded Abstracts, 2132–2135.
    [Google Scholar]
  24. SymesW.W. and CarazzoneJ.J.1991. Velocity inversion by differential semblance optimization. Geophysics56, 654–663.DOI: 10.1190/1.1443082
    [Google Scholar]
  25. WoodwardM.J.1992. Wave‐equation tomography. Geophysics57, 15–26.DOI: 10.1190/1.1443179
    [Google Scholar]
  26. YilmazO.1979. Prestack partial migration . PhD thesis, Stanford University .
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