1887

Abstract

Summary

Single-sided wave-field focusing and redatuming can be achieved by means of the so-called Marchenko method. This approach reconstructs the wavefield recorded at the acquisition surface due to a virtual source located at depth including all internal multiples orders using reflection data and limited medium information. So far, the method has proven to be successful for media characterized by smoothly varying interfaces, and only approximate solutions are found for complex media with sharp contrasts in the presence of short period multiple, diffractors and dipping layers. Additionally, the reflection response is required to meet some conditions including surface-related multiples removal and accurate deconvolution of the source wavelet. Such limitations and requirements are particularly challenging when it comes to real data applications. Here, we combine the versatility of the recently-introduced Rayleigh-Marchenko with a scattering-based scheme to derive an extended version of the method that is able to handle redatuming in highly complex media by introducing an auxiliary Marchenko system. We illustrate the performance of our SR-Marchenko with a sub-salt example, show that it incorporate available information from a known reference model, e.g., a migration velocity model with sharp interfaces.

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/content/papers/10.3997/2214-4609.202011347
2020-12-08
2024-04-18
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References

  1. Jones, I.F. and Davison, I.
    [2014] Seismic imaging in and around salt bodies.Interpretation, 2(4), SL1–SL20.
    [Google Scholar]
  2. van der Neut, J., Vasconcelos, I. and Wapenaar, K.
    [2015] On Green’s function retrieval by iterative substitution of the coupled Marchenko equations.Geophysical Journal International, 203(2), 792–813.
    [Google Scholar]
  3. Ravasi, M.
    [2017] Rayleigh-Marchenko redatuming for target-oriented, true-amplitude imaging.GEOPHYSICS, 86(6), S439–S452.
    [Google Scholar]
  4. Ravasi, M. and Vasconcelos, I.
    [2020] PyLops - A linear-operator Python library for scalable algebra and optimization.SoftwareX, 11(100361).
    [Google Scholar]
  5. Slob, E. and Wapenaar, K.
    [2017] Theory for Marchenko imaging of marine seismic data with free surface multiple elimination.79th EAGE Conference and Exhibition, Extended Abstracts.
    [Google Scholar]
  6. Vasconcelos, I., van Manen, D.J., Ravasi, M., Wapenaar, K. and van der Neut, J.
    [2014] Marchenko redatuming: advantages and limitations in complex media.SEG Technical Program, Extended Abstracts.
    [Google Scholar]
  7. Vasconcelos, I. and Sripanich, Y.
    [2019] Scattering-Based Marchenko for Subsurface Focusing and Re-datuming in Highly Complex Media.81st EAGE Conference and Exhibition, Extended Abstracts.
    [Google Scholar]
  8. Wapenaar, K., Thorbecke, J., van der Neut, J., Broggini, F., Slob, E. and Snieder, R.
    [2014] Marchenko imaging.GEOPHYSICS, 79(3), WA39–WA57.
    [Google Scholar]
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