1887

Abstract

Summary

Multiples can be migrated to obtain much broader illumination range and richer structure information under the surface, and the present studies are all carried out based on this idea. In this paper, we propose a totally different way. According to the relationship of the propagation path between multiples and primaries and from the perspective of improving the seismic resolution by using multiples, we study deeply on the use of multiples. Through theory derivation, the important conclusion that the response recovered from multiples in focal transform domain can be regarded as a multidimensional wavelet deconvolution process can be drawn. Next, the high resolution data in the focal transform domain can be extracted by introducing the adaptive match filter with regularized nonstationary regression. Compared to the conventional deconvolution model, this method is derived based on wave theory, it can be applied to any complex situation. Besides, all the shot records are involved in the computation of each output trace, therefore, with the constraints in the space, the lateral resolution of data can be improved at the same time of improving vertical resolution. Examples verify the effectiveness of this method.

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/content/papers/10.3997/2214-4609.201601562
2016-05-30
2024-03-29
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References

  1. Verschuur, D.J., Berkhout, A.J. and Wapenaar, C.P.A.
    [1992] Adaptive surface-related multiple elimination. Geophysics, 57(9), 1166–1177.
    [Google Scholar]
  2. Berkhout, A. J., Verschuur, D. J.
    [2003] Transformation of multiples into primary reflections. 73rd Annual International Meeting, SEG, Expanded Abstracts, 1925–1928.
    [Google Scholar]
  3. Fomel, S.
    [2009] Adaptive multiple subtraction using regularized nonstationary regression. Geophysics, 74(1), V25–V33.
    [Google Scholar]
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