1887

Abstract

Summary

Compared with the elastic reverse time migration (ERTM), ELSRTM can produce images with higher spatial resolution, more balanced amplitudes and fewer artifacts. However, the crosstalk between compressional (P-) and shear (S-) waves can significantly degrade the imaging quality of ELSRTM. We developed an ELSRTM method to suppress the crosstalk artifacts. This method includes three crucial points. The first is that both the forward and backward wavefield are extrapolated based on the separated elastic velocity-stress equation of P- and S-waves. The second is that the separated vector P- and S-wave residuals are migrated to form reflectivity images of Lamé constants λ and μ independently. The third is that the reflectivity images of λ and μ are obtained by the vector P-wave wavefields achieved in the backward extrapolation of the separated vector P-wave residuals and the vector S-wave wavefields achieved in the backward extrapolation of the separated vector S-wave residuals respectively. Numerical tests with synthetic data demonstrate that our ELSRTM method can produce images free of the crosstalk artifacts.

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/content/papers/10.3997/2214-4609.201800654
2018-06-11
2020-07-12
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References

  1. Duan, Y., Sava, P. and Guitton, A.
    [2016] Elastic least-squares reverse time migration. SEG Technical Program Expanded Abstracts, 4152–4157.
    [Google Scholar]
  2. Feng, Z. and Schuster, G.T.
    [2016] Elastic least-squares reverse time migration. SEG Technical Program Expanded Abstracts, 4163–4167.
    [Google Scholar]
  3. Gu, B.L., Li, Z.C., Yang, P., Xu, W.C. and Han, J.G.
    [2017] Elastic least-squares reverse time migration with hybrid l1/l2 misfit function. Geophysics, 82(3), S271–S291.
    [Google Scholar]
  4. Gu, B.L., Li, Z.Y., Ma, X.N. and Liang, G.H.
    [2015] Multi-component elastic reverse time migration based on the P-wave and S-wave separated velocity-stress equations. Journal of Applied Geophysics, 112, 62–78.
    [Google Scholar]
  5. Li, Z.Y., Ma, X.N., Fu, C., Gu, B.L. and Liang, G.H.
    [2016] Frequency-wavenumber implementation for P- and S-wave separation from multi-component seismic data. Exploration Geophysics, 47(1), 32–43.
    [Google Scholar]
  6. Stanton, A. and Sacchi, M.D.
    [2014] Least squares migration of converted wave seismic data. CSEG Recorder, 39(10), 48–52.
    [Google Scholar]
  7. [2017] Elastic least-squares one-way wave equation migration. Geophysics, 82(4), S293–S305.
    [Google Scholar]
  8. Xu, L., Stanton, A. and Sacchi, M.D.
    [2016] Elastic least-squares reverse time migration. SEG Technical Program Expanded Abstracts, 2289–2293.
    [Google Scholar]
  9. Zhang, Y., Duan, L. and Xie, Y.
    [2015] A stable and practical implementation of least-squares reverse time migration. Geophysics, 80(1), V23–V31.
    [Google Scholar]
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