1887

Abstract

Summary

Most of the commonly used methods for enhancing the resolution of seismic data are based on stationary convolution model, which assume that the seismic wavelet is not varying with traveling time. However, it is not consistent with the actual propagation of wavelet. To overcome this shortage, we propose a new method to enhance seismic resolution based on the nonstationary convolution model. The main contribution of our work is that we develop a new Q estimation approach via the variational method in the S-domain. Compared with the methods of Q estimation in time or frequency domain alone, this method can effectively avoid the coupling effect of absorption and scattering. Synthetic and field data examples are applied to illustrate the effectiveness of the proposed method in enhancing the resolution of seismic data.

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/content/papers/10.3997/2214-4609.201900786
2019-06-03
2020-08-15
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References

  1. Wang, Y.
    [2006] Inverse Q-filter for seismic resolution enhancement. Geophysics, 71(3), V51–V60.
    [Google Scholar]
  2. Gao, J.H., Wang, L.L., and Zhao, W.
    [2009] Enhancing resolution of seismic traces based on the changing wavelet model of the seismogram. Chinese Journal of Geophysics, 52(5), 1289–1300.
    [Google Scholar]
  3. Margrave, G.F., Lamoureux, M. P., and Henley, D.C.
    [2011] Gabor deconvolution: Estimating reflectivity by nonstationary deconvolution of seismic data. Geophysics, 76(3), W15–W30.
    [Google Scholar]
  4. Wang, L., Gao, J., Zhao, W., and Jiang, X.
    [2012] Enhancing resolution of nonstationary seismic data by molecular-Gabor transform. Geophysics, 78(1), V31–V41.
    [Google Scholar]
  5. Stockwell, R.G., Mansinha, L., and Lowe, R.P.
    [1996] Localization of the complex spectrum: the S transform. IEEE transactions on signal processing, 44(4), 998–1001.
    [Google Scholar]
  6. Margrave, G.F., and Lamoureux, M.P.
    [2001] Gabor deconvolution. CREWES Research Report, 13, 241–276.
    [Google Scholar]
  7. Rosa, A.L.R., and Ulrych, T. J.
    [1991] Processing via spectral modeling. Geophysics, 56(8), 1244–1251.
    [Google Scholar]
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