In the conventional deconvolution techniques, the reflection coefficients were assumed random white noise and the wavelet was unique. In order to get rid of the limitation, we proposed a new method which was called time-frequency domain Spectral Modeling Deconvolution (SMD). By using the generalized S-transform, the seismic data was transformed to time-frequency domain, the spectral of wavelet which was changed with time and frequency was simulated with the method of spectral modeling. The purpose of our process was to enhance the resolution of seismic data, thus, the spectral of wavelets should be eliminated, the remaining were spectral of reflection coefficients, after perform inverse S-transform, the time domain seismic data were obtained again with a more balanced spectrum and broader frequency band.


Article metrics loading...

Loading full text...

Full text loading...


  1. Gao, J.H., Chen, W.C., Li, Y.M., et al.
    [2003] Generalized S transform and seismic response analysis of thin interbeds. Geophysics, 46, 526–532.
    [Google Scholar]
  2. Mansinha, L., Stockwell, R.G., Lowe, R.P.
    [1997] Pattern analysis with two dimensional spectral localization. Application of two-dimensional S-transform. Physics, 239, 286–295.
    [Google Scholar]
  3. McFadden, P.D., Cook, J.G., Forster, L.M.
    [1999] Decomposition of gear vibration signals by the generalized S-transform. Mechanical Systems and Signal Process, 13, 691–707.
    [Google Scholar]
  4. Pinnegar, C.R. and Mansinha, L.
    [2003] The S-transform with windows of arbitrary and varying shape. Geophysics, 68, 381–385.
    [Google Scholar]
  5. Ricker, N.H.
    , [1977] Transient Waves in Visco-elastic Media. Amsterdam Elsevier Science & Technology Publishing Company.
    [Google Scholar]
  6. Rosa, A.L. and Ulrych, T.J.
    [1991] Processing via spectral modeling. Geophysics, 56, 1244–1251
    [Google Scholar]
  7. Stockwell, R.G., Mansinha, L. and Lowe, R.P.
    [1996] Localization of the complex spectrum: the S transform. IEEE Transactions on Signal Processing, 44, 998–1001.
    [Google Scholar]
  8. Tang, B.W., Zhao, B., Wu, Y.H., et al.
    [2010] An improved spectral modeling deconvolution. 80th Annual International Meeting, SEG, Expanded Abstracts, 3668–3672.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error