1887

Abstract

Summary

Depth domain seismic data could suffer from stretch effects compared with time domain seismic data, which could cause strong spectral variation and non-stationarity. This could result in the invalidation of stationary assumption for conventional convolution model, which also causes difficulty for directly inverting the depth domain datasets for reservoir characterization. In this paper, we propose a depth variant wavelets extraction method by using the S-transformation with incorporation of a non-stationary convolution model to accommodate the spectral variation on the depth domain seismic data. The technique has been successfully applied on a field dataset for inversion for subsurface reflectivity and acoustic impedance. The inversion results show good fit with the well-log data, which have demonstrated its effectiveness on post-stack seismic data.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800728
2018-06-11
2024-03-28
Loading full text...

Full text loading...

References

  1. Margrave, G.F.
    [1998] Theory of nonstationary linear filtering in the Fourier domain with application to time variant filtering. Geophysics, 63(1), 244–259.
    [Google Scholar]
  2. 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]
  3. Pinnegar, C.R.
    [2007] Comments on “The Inverse S-Transform in Filters With Time-Frequency Localization”. IEEE Transactions on Signal Processing, 55(10), 5117–5120.
    [Google Scholar]
  4. 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]
  5. [2007] Authors’ Reply to Comments on “The Inverse S-Transform in Filters With Time-Frequency Localization”. IEEE Transactions on Signal Processing, 55(10), 5120–5121.
    [Google Scholar]
  6. Simon, C., Ventosa, S., Schimmel, M., Heldring, A., Danobeitia, J.J., Gallart, J. and Manuel, A.
    [2007] The S-Transform and Its Inverses: Side Effects of Discretizing and Filtering. IEEE Transactions on Signal Processing, 55(10), 4928–4937.
    [Google Scholar]
  7. Stockwell, R., Mansinha, L. and Lowe, R.
    [1996] Localization of the complex spectrum: the S transform. Signal Processing, IEEE Transactions on, 44(4), 998–1001.
    [Google Scholar]
  8. Zhang, R. and Castagna, J.
    [2011] Seismic sparse-layer reflectivity inversion using basis pursuit decomposition. Geophysics, 76(6), R147–R158.
    [Google Scholar]
  9. Zhang, R. and Fomel, S.
    [2017] Time-variant wavelet extraction with a local-attribute-based time-frequency decomposition for seismic inversion. Interpretation, 5(1), SC9–SC16.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800728
Loading
/content/papers/10.3997/2214-4609.201800728
Loading

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