1887

Abstract

Summary

Simultaneous source shooting or blended acquisition, which allows a temporal overlap between shot records, has been proposed as a method for substantially reducing the acquisition cost and improving data quality (e.g., denser shooting/efficient wide-azimuth shooting). Deblending allowed by traditional processing steps is still the dominant way of dealing with blended data. However, most of the deblending algorithms only utilize the blended input data without aliasing. In addition, it will be more challenging if the aliasing blended data traces are irregularly sampled, resulting in the failure of some deblending algorithms. In this paper we investigated the interpolation problem of irregularly blended seismic data using the focal transformation. Synthetic data example demonstrates the validity of its application for joint deblending and interpolation of the irregularly blended data.

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/content/papers/10.3997/2214-4609.201900895
2019-06-03
2024-04-25
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References

  1. Berkhout, A.J.
    [1982] Seismic migration: Imaging of acoustic energy by wave field extrapolation, A: theoretical aspects. Elsevier (second edition).
    [Google Scholar]
  2. [2008] Changing the mindset in seismic data acquisition. The Leading Edge, 27(7), 924–938.
    [Google Scholar]
  3. Chen, Y., Fomel, S. and Hu, J.
    [2014] Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization. Geophysics, 79(5), V179–V189.
    [Google Scholar]
  4. Gan, S., Wang, S., Chen, Y., Chen, X. and Xiang, K.
    [2016] Separation of simultaneous sources using a structural-oriented median filter in the flattened dimension. Computers & Geosciences, 86, 46–54.
    [Google Scholar]
  5. Huo, S., Luo, Y. and Kelamis, P.G.
    [2012] Simultaneous sources separation via multidirectional vector-median filtering. Geophysics, 77(4), V123–V131.
    [Google Scholar]
  6. Ibrahim, A. and Sacchi, M.D.
    [2013] Simultaneous source separation using a robust Radon transform. Geophysics, 79(1), V1–V11.
    [Google Scholar]
  7. Kontakis, A. and Verschuur, D.J.
    [2014] Deblending via sparsity-constrained inversion in the focal domain. In: EAGE, Extended Abstracts. Th ELI2 02.
    [Google Scholar]
  8. [2015] Deblending via a hybrid focal and linear Radon transform. In: EAGE, Extended Abstracts. We N101 02.
    [Google Scholar]
  9. Tang, Y. and Biondi, B.
    [2009] Least-squares migration/inversion of blended data. In: SEG, Expanded Abstracts. 2859–2863.
    [Google Scholar]
  10. Wason, H., Herrmann, F.J. and Lin, T.T.
    [2011] Sparsity-promoting recovery from simultaneous data: A compressive sensing approach. In: SEG, Expanded Abstracts, Society of Exploration Geophysicists, 6–10.
    [Google Scholar]
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