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Abstract

Summary

In this effort, we remove surface-related multiples present in a field shallow water OBC data from the Middle East. For this purpose, we propose applying a new workflow. Its key component is a simplification of the original robust Estimation of Primaries by Sparse Inversion by assuming the subsurface structure being locally space-invariant. In that region, this is usually a good approximation of the underlying geology. Using this approach, the data are processed per CMP gather, independently of each other. This significantly diminishes the memory requirements of the sparse inversion process and makes the process embarrassingly parallelizable via a Message Passing Interface (MPI). We demonstrate that in a typical shallow water dataset from the Middle East, this approach is viable and surface-related multiples are better attenuated compared to conventional approaches.

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/content/papers/10.3997/2214-4609.201900782
2019-06-03
2024-04-25

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References

  1. Berkhout, A. and Pao, Y.
    [1982] Seismic Migration – Imaging of Acoustic Energy by Wave Field Extrapolation. Journal of Applied Mechanics, 49, 682.
     [Google Scholar]
  2. Castelan, A.R., Kostov, C., Saragoussi, E., Melo, F., Miers, G., Wu, Z., AbdelazizK., Mataracioglu, O., Kristiansen, P., Slaton, S., Chakraborty, S. and Li, Q.
    [2016] OBN multiple attenuation using OBN and towed-streamer data: Deepwater Gulf of Mexico case study, Thunder Horse Field. 86-th Annual International Meeting, SEG, Expanded Abstracts, 4513–4517.
     [Google Scholar]
  3. Hargreaves, N.
    [2006] Surface multiple attenuation in shallow water and the construction of primaries from multiples. 76-th Annual International Meeting, SEG, Expanded Abstracts, 2689–2693.
     [Google Scholar]
  4. Hung, B., Yang, K., Zhou, J. and Xia, Q.
    [2010] Shallow Water Demultiple: ASEG, Expanded Abstracts, 1–4.
     [Google Scholar]
  5. Kim, Y., Cho, Y. and Shin, C.
    [2013] Estimated source wavelet-incorporated reverse-time migration with a virtual source imaging condition. Geophysical Prospecting, 61(1), 317–333.
     [Google Scholar]
  6. Lin, T. and Herrmann, F.
    [2013] Robust estimation of primaries by sparse inversion via one-norm minimization. Geophysics, 78, R133–R150.
     [Google Scholar]
  7. Lin, T., and Herrmann, F.
    [2016] Estimation of primaries by sparse inversion with scattering-based multiple predictions for data with large gaps. Geophysics, 81, V183–V197.
     [Google Scholar]
  8. Soubaras, R.
    [1996] Ocean bottom hydrophone and geophone processing. 66-th Annual International Meeting, SEG, Expanded Abstracts, 24–27.
     [Google Scholar]
  9. Van den Berg, E. and Friedlander, M. P.
    [2008] Probing the Pareto frontier for basis pursuit solutions. SIAM Journal on Scientific Computing, 31, 890–912.
     [Google Scholar]
  10. Van Groenestijn, G. and Verschuur, D.
    [2009] Estimation of primaries and near-offset reconstruction by sparse inversion: Marine data applications. Geophysics, 74(6), R119–R128.
     [Google Scholar]
  11. Van Groenestijn, G.J.A. and Ross, W.
    [2011] Primary estimation on OBC data by sparse inversion. 71-st Annual International Meeting, SEG, Expanded Abstracts, 3531–3535.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900782
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Practical Approach to Robust EPSI in Shallow Water Data From the Middle East
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201900782
/content/papers/10.3997/2214-4609.201900782
/content/papers/10.3997/2214-4609.201900782
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