1887

Abstract

Summary

Here we demonstrate a case study of depth imaging applied to legacy data (shot in 70s and 80s) from Central Poland with a strong overprint of salt tectonics. We use a novel, curvelet-based approach to condition the low-fold gathers in order to improve the performance of the autopicker and subsequent tomographic model updates. Superior results are obtained when a proper conditioning of the gathers is done before running autopicker for tomography. Our 2D Discrete Curvelet Transform based conditioning algorithm run in a two-step mode on the common offset sections and on the depth-slices seems to improve the performance of the autopicker and thus provide more reliable input to grid tomography. Additionally, in case of legacy data, such conditioning acts as a trace regularization.

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/content/papers/10.3997/2214-4609.20141586
2014-06-16
2020-08-08
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References

  1. Herrmann, F.J., Wang, D., Hennenfent, G. and Moghaddam, P.
    [2008] Curvelet-based seismic data processing: A multiscale and nonlinear approach. Geophysics, 73, A1–A5.
    [Google Scholar]
  2. Hennenfent, G., Cole, J. and Kustowski, B.
    [2011] Interpretative noise attenuation in the curvelet domain. SEG Technical Program Expanded Abstracts, 3566–3570.
    [Google Scholar]
  3. Krzywiec, P.
    [2004] Triassic evolution of the Klodawa salt structure: basement-controlled salt tectonics within the Mid-Polish Trough (Central Poland). Geological Quarterly, 48, 123–134.
    [Google Scholar]
  4. Kumar, V., Oueity, J., Clowes, R.M. and Herrmann, F.J.
    [2011] Enhancing crustal reflection data through curvelet denoising. Tectonophysics, 508, 106–116.
    [Google Scholar]
  5. Neelamani, R., Baumstein, A.I., Gillard, D.G., Hadidi, M.T. and Soroka, W.L.
    , [2008] Coherent and random noise attenuation using the curvelet transform. Leading Edge, 27, 240–248.
    [Google Scholar]
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