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Abstract

Summary

Enhancing resolution of seismic records is one of the important procedures during seismic data processing, which play an important role on the subsequent processing and interpretation. Given the assumption of traditional enhancing resolution method that the seismic signal is stationary does not meet the actual situation, the enhancing resolution method in S transform domain is presented in this paper. In S transform domain, we obtain the time-varying amplitude of wavelet by polynomial fitting, low-pass filtering and multi-channel statistical weighting, which can reflect the attenuation trends of seismic wave propagation, and enhancing resolution operator can adapt to the changes in SNR. Model test demonstrates the correctness and effectiveness of this method.

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/content/papers/10.3997/2214-4609.20141565
2014-06-16
2024-04-20

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References

  1. Stockwell, R.G., Mansinha, L. and Lowe, R.P.
    [1996] Localization of the complex spectrum: the S transform. IEEE Transaction on signal processing, 44(4), 998.
     [Google Scholar]
  2. Montana, C.A. and Margrave, G.F.
    Surface-consistent Gabor deconvolution. 76th Annual International Meeting, SEG, Expanded Abstract, 2006, 2812–2816.
     [Google Scholar]
  3. Kumar, V., Herrmann, F.J.
    [2008] Deconvolution with curvelet-domain sparsity. 78th Annual International Meeting, SEG, Expanded Abstract, 1996–2000.
     [Google Scholar]
  4. Mundim, E.C., Schots, H.A., de Araujo, J.M. et al.
    [2006] WTdecon, a colored deconvolution implemented by wavelet transform. The Leading Edge, 25(4), 298–401.
     [Google Scholar]
  5. Schimmel, M. and Gallart, J.
    [2005] The inverse S-transform in filters with time-frequency localization. IEEE Transactions on signal processing, 53(11), 4417–4422.
     [Google Scholar]
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Method Research of Enhancing Resolution Based on S Transform
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141565
/content/papers/10.3997/2214-4609.20141565
/content/papers/10.3997/2214-4609.20141565
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