1887
Volume 51, Issue 4
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

ABSTRACT

The wavelet stretch effects in pre-stack migration, which is similar to that of NMO stretch, distort the frequency spectrums and taper the high-frequency components at far offsets. The long-offset migrated results in conventional migration methods are muted, resulting in a loss of effective information about the subsurface investigation. Only short-offset data are used to obtain a high-resolution stacked image. However, long-offsets that correspond to high-incident-angle data are critical to velocity inversion and amplitude versus offset (AVO) analysis when estimating lithology and fluid product. Furthermore, attenuation of seismic waves due to the anelasticity of the subsurface medium will cause dissipation of seismic energy and loss of high frequencies, thus broadening the propagating wavelet and degrading the resolution of imaging. Both the wavelet stretch and the absorption will taper the high-frequency components. We developed a wavelet stretch correction and absorption compensation scheme during the migration process by shrinking the wavelet when applying the imaging condition, which matches the stretch effect caused by migration. The correction factor is derived based on the incidence angle associated with many factors. Moreover, the de-absorption pre-stack time migration (QPSTM) is implemented on the effective model that makes the modelling become easier. Both the application of synthetic and real data examples demonstrate that the proposed anti-stretch QPSTM can be particularly useful recovering the high-frequency components caused by anelasticity and wavelet stretch, and obtain higher-resolution images.

© 2019 Australian Society of Exploration Geophysicists
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2020-07-03
2026-01-23

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References

  1. Abedi, M.M., and M.A.Riahi. 2016. Nonhyperbolic stretch-free normal moveout correction. Geophysics81: U87–U95. doi: 10.1190/geo2016‑0078.1
     https://doi.org/10.1190/geo2016-0078.1 [Google Scholar]
  2. Barnes, A.E.1992. Another look at NMO stretch. Geophysics57: 749–51. doi: 10.1190/1.1443289
     https://doi.org/10.1190/1.1443289 [Google Scholar]
  3. Bickel, S.H., and R.R.Natarajan. 1985. Plane-wave Q deconvolution. Geophysics50: 1426–37. doi: 10.1190/1.1442011
     https://doi.org/10.1190/1.1442011 [Google Scholar]
  4. Biondi, E., E.Stucchi, and A.Mazzotti. 2014. Nonstretch normal moveout through iterative partial correction and deconvolution. Geophysics79: V131–V141. doi: 10.1190/geo2013‑0392.1
     https://doi.org/10.1190/geo2013-0392.1 [Google Scholar]
  5. Brandsberg-Dahl, S., B.Ursin, and M.V.De Hoop. 2003. Seismic velocity analysis in the scattering angle/azimuth domain. Geophysical Prospecting51: 295–314. doi: 10.1046/j.1365‑2478.2003.00370.x
     https://doi.org/10.1046/j.1365-2478.2003.00370.x [Google Scholar]
  6. Brouwer, J.H.2002. Improved NMO correction with a specific application to shallow-seismic data. Geophysical Prospecting50: 225–37. doi: 10.1046/j.1365‑2478.2002.00310.x
     https://doi.org/10.1046/j.1365-2478.2002.00310.x [Google Scholar]
  7. Buchholtz, H.1972. A note on signal distortion due to dynamic NMO corrections. Geophysical Prospecting20: 395–402. doi: 10.1111/j.1365‑2478.1972.tb00642.x
     https://doi.org/10.1111/j.1365-2478.1972.tb00642.x [Google Scholar]
  8. Dong, W.1999. AVO detectability against tuning and stretching artifacts. Geophysics64: 494–503. doi: 10.1190/1.1444555
     https://doi.org/10.1190/1.1444555 [Google Scholar]
  9. Dunkin, J.W., and F.K.Levin. 1973. Effect of normal moveout on a seismic pulse. Geophysics28: 635–42. doi: 10.1190/1.1440363
     https://doi.org/10.1190/1.1440363 [Google Scholar]
  10. Gao, J., H.Zhang, B.Han, W.M, J.GPeng, and Z.Xu. 2017. A new approach for extracting the amplitude spectrum of the seismic wavelet from the seismic traces. Inverse Problems33: 1–16. doi: 10.1088/1361‑6420/aa59e0
     https://doi.org/10.1088/1361-6420/aa59e0 [Google Scholar]
  11. Hargreaves, N.D., and A.J.Calvert. 1991. Inverse Q filtering by Fourier transform. Geophysics56: 519–27. doi: 10.1190/1.1443067
     https://doi.org/10.1190/1.1443067 [Google Scholar]
  12. Hilterman, F., and C.V.Schuyver. 2003. Seismic wide-angle processing to avoid NMO stretch. 73rd Annual International Meeting, SEG, Expanded Abstracts, 215–218.
  13. Lazaratos, S., and C.Finn. 2004. Deterministic spectral balancing for high fidelity AVO: 74th Annual International Meeting, SEG, Expanded Abstracts, 219–223.
  14. Levin, S.A.1998. Resolution in seismic imaging: Is it all a matter of perspective. Geophysics63: 743–749. doi: 10.1190/1.1444374
     https://doi.org/10.1190/1.1444374 [Google Scholar]
  15. Masoomzadeh, H., J.B.Penny, and C.S.Satish. 2010. Nonstretch moveout correction of long-offset multichannel seismic data for subbasalt imaging: Example from the North Atlantic. Geophysics75: R83–R91. doi: 10.1190/1.3443579
     https://doi.org/10.1190/1.3443579 [Google Scholar]
  16. Mittet, R., R.Sollie, and K.Hokstak. 1995. Prestack depth migration with compensation for absorption and dispersion. Geophysics60: 1485–1494. doi: 10.1190/1.1443882
     https://doi.org/10.1190/1.1443882 [Google Scholar]
  17. Perez, G., and K.J.Marfurt. 2007. Improving lateral and vertical resolution of seismic images by correcting for wavelet stretch in common angle migration. Geophysics72: C95–C104. doi: 10.1190/1.2781619
     https://doi.org/10.1190/1.2781619 [Google Scholar]
  18. Perroud, H., and M.Tygel. 2004. Nonstretch NMO. Geophysics69: 599–607. doi: 10.1190/1.1707080
     https://doi.org/10.1190/1.1707080 [Google Scholar]
  19. Press, W.H., S.A.Teukolsky, W.T.Vetterling, and B.P.Flannery. 1986. Numerical recipes in Fortran. Cambridge Univ. Press.
  20. Roy, B., P.Anno, R.Baumel, and J.Durrani. 2005. Analytic correction for wavelet stretch due to imaging. 75th Annual International Meeting, SEG, Expanded Abstracts, 234–237
  21. Rupert, G.B., and J.H.Chun. 1975. The block move sum normal moveout correction. Geophysics40: 17–24. doi: 10.1190/1.1440511
     https://doi.org/10.1190/1.1440511 [Google Scholar]
  22. Shatilo, A., and F.Aminzadeh. 2000. Constant normal-moveout (CNMO) correction: A technique and test results. Geophysical Prospecting48: 473–488. doi: 10.1046/j.1365‑2478.2000.00190.x
     https://doi.org/10.1046/j.1365-2478.2000.00190.x [Google Scholar]
  23. Shi, J., Z.Q.Wu, J.P.Liu, and J.K.Fan. 2011. Normal moveout stretch correction and its processing method. Marine Geology & Quaternary Geology31: 187–194. doi: 10.3724/SP.J.1140.2011.04187
     https://doi.org/10.3724/SP.J.1140.2011.04187 [Google Scholar]
  24. Swan, H.W.1997. Removal of offset-dependent tuning in AVO analysis. 67th Annual International Meeting. SEG, Expanded Abstracts. 175–178.
  25. Taner, M.T., and K.Koehler. 1969. Velocity spectra-digital computer derivation and applications of velocity functions. Geophysics34: 859–81. doi: 10.1190/1.1440058
     https://doi.org/10.1190/1.1440058 [Google Scholar]
  26. Tygel, M., J.Schleicher, and P.Hubral. 1994. Pulse distortion in depth migration. Geophysics59: 1561–69. doi: 10.1190/1.1443545
     https://doi.org/10.1190/1.1443545 [Google Scholar]
  27. Van der Baan, M.2012. Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?Geophysics77: V133–42. doi: 10.1190/geo2011‑0500.1
     https://doi.org/10.1190/geo2011-0500.1 [Google Scholar]
  28. Van der Baan, M., and D.T.Pham. 2008. Robust wavelet estimation and blind deconvolution of noisy surface seismics. Geophysics73: V37–46. doi: 10.1190/1.2965028
     https://doi.org/10.1190/1.2965028 [Google Scholar]
  29. Wang, Y.H.2002. A stable and efficient approach of inverse Q filtering. Geophysics67: 657–63. doi: 10.1190/1.1468627
     https://doi.org/10.1190/1.1468627 [Google Scholar]
  30. Yan, J., Z.Zhao, X.Li, and W.Gu. 2010. Angle domain method to remove NMO stretch: the Proceeding of the 4th International Conference on Environmental and Engineering Geophysics, 14–19 June 2010, Chengdu, China, 135–140.
  31. Zhang, B., W.Tang, and J.M.Kurt. 2011. Revisiting NMO stretch and velocity analysis. 81th Annual International Meeting, SEG, Expanded Abstracts, 4040–4044.
  32. Zhang, B., K.Zhang, S.Guo, and K.J.Marfurt. 2013. Nonstretching NMO correction of prestack time-migrated gathers using a matching-pursuit algorithm. Geophysics78: U9–U18. doi: 10.1190/geo2011‑0509.1
     https://doi.org/10.1190/geo2011-0509.1 [Google Scholar]
  33. Zhang, J.F., and J.Z.Wu. 2013. Compensation for absorption and dispersion in prestack migration: An effective Q approach. Geophysics78: S1–14. doi: 10.1190/geo2012‑0128.1
     https://doi.org/10.1190/geo2012-0128.1 [Google Scholar]
  34. Zhang, J.F., Z.W.Li, L.N.Liu, J.Wang, and J.C.Xu. 2016. High-resolution imaging: An approach by incorporating stationary-phase implementation into deabsorption prestack time migration. Geophysics81: S317–31. doi: 10.1190/geo2015‑0543.1
     https://doi.org/10.1190/geo2015-0543.1 [Google Scholar]
  35. Zhang, J.F., and K.Wapenaar. 2002. Wavefield extrapolation and prestack depth migration in anelastic inhomogeneous media. Geophysical Prospecting50: 629–43. doi: 10.1046/j.1365‑2478.2002.00342.x
     https://doi.org/10.1046/j.1365-2478.2002.00342.x [Google Scholar]
/content/journals/10.1080/08123985.2019.1706219
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High-resolution imaging: a wavelet stretch correction in de-absorption prestack time migration approach
Exploration Geophysics 51, 446 (2020); https://doi.org/10.1080/08123985.2019.1706219
/content/journals/10.1080/08123985.2019.1706219
/content/journals/10.1080/08123985.2019.1706219
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  • Article Type: Research Article
Keyword(s): far offset; prestack migration; stretch correction; Viscoelasticity

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