1887

Abstract

Summary

Given true-amplitude pre-processed data, Marchenko equation based methods could remove all overburden-borne internal multiples without the adaptive subtraction. The method hinges on calculating an inverse transmission response, however in many practical cases to find a solution, one is required to provide a part of it on input. This requirement can be lifted by invoking minimum phase - a mathematical property familiar to many geophysicists, yet normally not associated with a de-multiple workflow. Here we discuss the state of the art, challenges and road ahead for minimum phase enriched internal de-multiple. In particular we focus on the differences in minimum phase reconstruction between single input single output (1.5-D single mode) vs multiple input multiple output systems (everything else).

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/content/papers/10.3997/2214-4609.202012091
2021-10-18
2024-04-28
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References

  1. Dukalski, M., Mariani, E. and de Vos, K. [2019] Handling short-period scattering using augmented Marchenko autofocusing.Geophysical Journal International, 216, 2129–2133.
    [Google Scholar]
  2. Dukalski, M. and de Vos, K. [2020] A closed formula for true-amplitude overburden-generated interbed de-multiple (submitted). In: 82nd EAGE Conference and Exhibition 2020.
    [Google Scholar]
  3. Elison, P., Dukalski, M.S., de Vos, K., van Manen, D.J. and Robertsson, J.O.A. [2020] Data-driven control over short-period internal multiples in media with a horizontally layered overburden.Geophysical Journal International. Ggaa020.
    [Google Scholar]
  4. van der Neut, J. and Wapenaar, K. [2016] Adaptive overburden elimination with the multidimensional Marchenko equation.Geophysics, 81(5), T265–T284.
    [Google Scholar]
  5. Reinicke, C., Dukalski, M. and Wapenaar, C. [2019] Tackling different velocity borne challenges of the elastodynamic Marchenko method. In: 81st EAGE Conference and Exhibition 2019.
    [Google Scholar]
  6. Tunnicliffe-Wilson, G. [1972] The factorization of matricial spectral densities.Siam J. Appl. Math, 23(4), 420–426.
    [Google Scholar]
  7. Wapenaar, C., Draganov, D. and Thorbecke, J. [2003] Relations between codas in reflection and transmission data and their applications in seismic imaging.Proceedings of the 6th SEGJ International Symposium - Imaging Technology, 152–159.
    [Google Scholar]
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