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Abstract

Summary

Instantaneous frequency (IF) extracted from seismic data is generally used in describing time-frequency features of nonstationary seismic data. However, the conventional extraction methods, such as the IF extraction based on the Hilbert transform (HT), are seriously sensitive to noise and spikes, which brings difficulty for seismic attributes analysis and interpretation. By introducing a small window, weighted average instantaneous frequency (WAIF) can reduce frequency spikes well and improve interpretability. In this paper, we propose a novel WAIF extraction method based on time-frequency analysis, which is called synchrosqueezing transform taking the three parameter wavelet (SST-TPW). We introduce this promising WAIF extraction method to seismic data processing and show its effectiveness. Results on synthetic signals and field data demonstrate the excellent performance of the proposed method.

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/content/papers/10.3997/2214-4609.201700727
2017-06-12
2024-04-19

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References

  1. Barnes, A. E.
    [1990] Analysis of temporal variations in average frequency and amplitude of COCORP deep seismic reflection data. the 60th SEG Annual International Meeting, Expanded Abstracts, 15531556.
     [Google Scholar]
  2. [2000] Weighted average seismic attributes. Geophysics, 65(1), 275–285.
     [Google Scholar]
  3. [2007] A tutorial on complex seismic trace analysis. Geophysics, 72(6), W33–W43.
     [Google Scholar]
  4. Brevdo, E., Neven, S. F., Gaurav, T., and Wu, H.T.
    [2013] The synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum. Signal Processing, 93(5), 1079–1094.
     [Google Scholar]
  5. Chopra, S., and Marfurt, K.J.
    [2005] Seismic attributes-a historical perspective. Geophysics, 70(5), 3SO–28SO.
     [Google Scholar]
  6. Claerbout, J. F.
    [1992] Earth soundings analysis. Processing versus inversion: Blackwell Scientific Publications, Inc.
     [Google Scholar]
  7. Daubechies, I., Lu, J.F., and Wu, H.T.
    [2011] Synchrosqueezed wavelet transform: An empirical mode decomposition-like tool. Applied and Computational Harmonic Analysis, 30, 243–261.
     [Google Scholar]
  8. Donoho, D. L.
    [1995] De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3), 613–627.
     [Google Scholar]
  9. Gao, J., Wan, T., Chen, W., and Mao, J.
    [2006] Three parameter wavelet and its applications to seismic data processing. Chinese Journal of Geophysics, 49(6), 1802–1812.
     [Google Scholar]
  10. Herrera, R. H., Han, J. J., and M.Van der Baan
    [2014] Applications of the synchrosqueezing transform in seismic time-frequency analysis. Geophysics, 79(3), 55–64.
     [Google Scholar]
  11. Liu, N., Gao, J., Zhang, Z., Jiang, X., and Lv, Q.
    [2016] High resolution characterization of geological structures using synchrosqueezing transform. Interpretation, 5(1), T75–T85.
     [Google Scholar]
  12. Taner, M.T., Koehler, F., and Sheriff, R.E.
    [1979] Complex seismic trace analysis. Geophysics, 44, 1041–1063.
     [Google Scholar]
  13. Wang, Z., Gao, J., Wang, D., and Wei, Q.
    [2015] 3D seismic attributes for tight gas sand reservoir characterization of the eastern Sulige gas field, Ordos Basin, China. Geophysics, 80(2), B35–B43.
     [Google Scholar]
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Weighted Average Instantaneous Frequency Extraction via Time-Frequency Analysis
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201700727
/content/papers/10.3997/2214-4609.201700727
/content/papers/10.3997/2214-4609.201700727
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