1887
Volume 72, Issue 2
  • E-ISSN: 1365-2478

Abstract

Abstract

Steeply dipping structural imaging is a great challenge due to its poor illumination. Conventional migration methods are unable to produce an accurate image of complex steeply dipping structures. The prismatic wave can improve the illumination of steeply dipping structures and is often used to improve the imaging results of such structures. Traditional elastic wave theory assumes that seismic waves do not attenuate when propagating through subsurface media. However, during seismic wave propagation, the wave energy decays exponentially due to the absorption and attenuation of the ground layer. Subsurface attenuation leads to amplitude loss and phase distortion of seismic waves, resulting in blurring of migration amplitudes when this attenuation is not taken into account during imaging. To address this issue, a frequency‐domain ‐compensated prismatic reverse time migration method is proposed, which derives ‐compensated prismatic wavefield propagation operators. In the proposed frequency‐domain ‐compensated prismatic reverse time migration, attenuation is fully compensated along three propagation paths and two propagation types of prismatic waves. The optimized four‐order mixed 25‐point difference format and LU decomposition method are used to solve the ‐compensated prismatic wavefield propagation equations with high computational efficiency. Numerical and field data examples demonstrate that the proposed frequency‐domain ‐compensated prismatic reverse time migration method can compensate for deep attenuation energy and improve the imaging resolution of steeply dipping structures.

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/content/journals/10.1111/1365-2478.13409
2024-01-30
2025-07-20
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References

  1. Bano, M. (1996) Q‐phase compensation of seismic records in the frequency domain. Bulletin of the Seismological Society of America, 86(4), 1179–1186.
    [Google Scholar]
  2. Baysal, E., Kosloff, D.D. & Sherwood, J.W.C. (1983) Reverse time migration. Geophysics, 48(11), 1514–1524.
    [Google Scholar]
  3. Bickel, S.H. &Natarajan, R.R. (1985) Plane‐wave Q deconvolution. Geophysics, 50(9), 1426–1439.
    [Google Scholar]
  4. Dai, N. & West, G.F. (1994) Inverse Q migration. In: SEG technical program expanded abstracts 1994. Houston, TX: Society of Exploration Geophysicists, pp. 1418–1421.
  5. Fang, G., Fomel, S., Du, Q. & Hu, J. (2014) Lowrank seismic‐wave extrapolation on a staggered grid. Geophysics, 79(3), T157–T168.
    [Google Scholar]
  6. Futterman, W.I. (1962) Dispersive body waves. Journal of Geophysical Research, 67(13), 5279–5291.
    [Google Scholar]
  7. Gao, B. (2019) Frequency‐space domain viscoacoustic wave equation forward simulation and reverse time migration. (Master's Thesis). Beijing: China University of Petroleum.
  8. Hale, D. (1981) An inverse Q‐filter. Stanford Exploration Project Report, 26, 231–243.
    [Google Scholar]
  9. Hale, D., Hill, N.R. & Stefani, J. (1992) Imaging salt with turning seismic waves. Geophysics, 57(11), 1453–1462.
    [Google Scholar]
  10. Hargreaves, N.D. & Calvert, A.J. (1991) Inverse Q filtering by Fourier transform. Geophysics, 56(4), 519–527.
    [Google Scholar]
  11. Kudin, K.N., Kryvohuz, M., Kuehl, H., Selim, M.F., Butler, W.H., Theriot, C. et al. (2018) Prism waves for imaging steep geologic features and sediment terminations against salt flanks: examples from the Gulf of Mexico. The Leading Edge, 37(3), 223–229.
    [Google Scholar]
  12. Li, Z.C. & Qu, Y.M. (2022) Research progress on seismic imaging technology. Petroleum Science, 19(1), 128–146.
    [Google Scholar]
  13. Liu, F., Zhang, G., Morton, S.A. & Leveille, J.P. (2011) An effective imaging condition for reverse‐time migration using wavefield decomposition. Geophysics, 76(1), S29–S39.
    [Google Scholar]
  14. Liu, Y. & Sen, M.K. (2009) A new time–space domain high‐order finite‐difference method for the acoustic wave equation. Journal of computational Physics, 228(23), 8779–8806.
    [Google Scholar]
  15. Liu, Y., Liu, W., Wu, Z. & Yang, J. (2022) Reverse time migration with an exact two‐way illumination compensation. Geophysics, 87(2), S53–S62.
    [Google Scholar]
  16. Marmalyevskyy, N., Roganov, Y., Gornyak, Z., Kostyukevych, A. & Mershchiy, V. (2005) Migration of duplex waves. In: 2005 SEG annual meeting. Richardson, TX: OnePetro.
  17. Mcmechan, G.A. (1983) Migration by extrapolation of time‐dependent boundary values. Geophysical Prospecting, 31(3), 413–420.
    [Google Scholar]
  18. Qu, Y.M., Li, Z.C., Huang, J.P. & Li, J.L. (2016) Prismatic and full‐waveform joint inversion. Applied Geophysics, 13(3), 511–518.
    [Google Scholar]
  19. Qu, Y., Li, Z., Guan, Z., Liu, C. & Sun, J. (2022) Topography‐dependent Q‐compensated least‐squares reverse time migration of prismatic waves. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–14.
    [Google Scholar]
  20. Qu, Y., Wei, Z., Liu, C., Li, Z., Xu, Z. & Li, R. (2020) Viscoacoustic reverse time migration of prismatic wave for steeply dipped structures. Oil Geophysical Prospecting, 55(4), 793–803.
    [Google Scholar]
  21. Sava, P. & Hill, S.J. (2009) Overview and classification of wavefield seismic imaging methods. The Leading Edge, 28(2), 170–183.
    [Google Scholar]
  22. Sun, J. & Zhu, T. (2018) Strategies for stable attenuation compensation in reverse‐time migration. Geophysical Prospecting, 66(3), 498–511.
    [Google Scholar]
  23. Tan, S. & Huang, L. (2014) An efficient finite‐difference method with high‐order accuracy in both time and space domains for modelling scalar‐wave propagation. Geophysical Journal International, 197(2), 1250–1267.
    [Google Scholar]
  24. Wang, Y.F., Zhou, H., Zhao, X.Z., Xia, M.M. & Cai, X.L. (2017) The k‐space Green's functions for decoupled constant‐Q wave equation and its adjoint equation. In: 79th EAGE conference and exhibition 2017. Paris, France: EAGE Publications.
  25. Wang, Y., Harris, J.M., Bai, M., Saad, O.M., Yang, L. & Chen, Y. (2022) An explicit stabilization scheme for Q‐compensated reverse time migration. Geophysics, 87(3), F25–F40.
    [Google Scholar]
  26. Wang, Y., Zhou, H., Zhao, X., Zhang, Q. & Chen, Y. (2019) Q‐compensated viscoelastic reverse time migration using mode‐dependent adaptive stabilization scheme. Geophysics, 84(4), S301–S315.
    [Google Scholar]
  27. Wu, Z., Liu, Y. & Yang, J. (2021) Elastic full‐waveform inversion of steeply dipping structures with prismatic waves. Geophysics, 86(4), R413–R431.
    [Google Scholar]
  28. Xu, K., Zhou, B. & Mcmechan, G.A. (2010) Implementation of prestack reverse time migration using frequency‐domain extrapolation. Geophysics, 75(2), S61–S72.
    [Google Scholar]
  29. Yang, J., Liu, Y., Li, Y.E., Cheng, A., Dong, L. & Du, Y. (2019) Joint least‐squares reverse time migration of primary and prismatic waves LSRTM of prismatic waves. Geophysics, 84(1), S29–S40.
    [Google Scholar]
  30. Zhang, J., Wu, J. & Li, X. (2013) Compensation for absorption and dispersion in prestack migration: an effective Q approach. Geophysics, 78(1), S1–S14.
    [Google Scholar]
  31. Zhang, X., Han, L., Zhang, F. & Shan, G. (2007) An inverse Q‐filter algorithm based on stable wavefield continuation. Applied Geophysics, 4, 263–270.
    [Google Scholar]
  32. Zhang, Y., Zhang, P. & Zhang, H. (2010) Compensating for visco‐acoustic effects in reverse‐time migration. In: SEG technical program expanded abstracts 2010. Houston, TX: Society of Exploration Geophysicists, pp. 3160–3164.
  33. Zhu, J. & Lines, L.R. (1998) Comparison of Kirchhoff and reverse‐time migration methods with applications to prestack depth imaging of complex structures. Geophysics, 63(4), 1166–1176.
    [Google Scholar]
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