1887

Abstract

Summary

Detection and identification of subsurface anomalous structures is a key objective in seismic exploration. Coherence technique has been successfully utilized to identify geological abnormalities and to detect geological discontinuities, such as the edges of faults and unconformities. After studying the third classical eigenvalue-based coherence algorithm, we propose a new way to construct covariance matrices with the analytic seismic trace. This new covariance matrix converges to the main effective signal energy on the largest eigenvalue by decreasing all other eigenvalues. Compared with the conventional coherence methods, this proposed algorithm has a higher resolution and a better ability of noise immunity. A synthetic data example illustrate that the proposed coherence algorithm favorably alleviates the low-valued artifacts caused by linear and curving dipping strata and reveals the discontinuities. Similarly, the coherence results of 3D real filed commendably suppress noise, eliminate the influence of large dipping strata and clearly highlight discontinuous edges. With the advantages of higher resolution and more robust to random noise, this proposed coherence algorithm successfully achieves the goals of detecting faults and channels.

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/content/papers/10.3997/2214-4609.201601028
2016-05-31
2020-04-04
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References

  1. BahorichM. and FarmerS.
    [1995] 3d seismic discontinuity for faults and stratigraphic features: the coherence cube. The Leading Edge, 14(10), 1053–1058.
    [Google Scholar]
  2. BrowaeysJ.
    [2009] Complex-valued correlation and seismic attributes. 79th SEG Technical Program Expanded Abstracts, 1053–1057.
    [Google Scholar]
  3. ClaerboutJ. and FomelS.
    [2000] Image estimation by example. Geophysical soundings image construction, SEP.
    [Google Scholar]
  4. GersztenkornA. and MarfurtK.
    [1999] Eigenstructure-based coherence computations as an aid to 3-D structural and stratigraphic mapping. Geophysics, 64(5), 1468–1479.
    [Google Scholar]
  5. HuangR Y., LiuJ. Z., YanB. P., YuanS. Y. and WangS. X.
    [2015] Multitrace complex-valued correlation method. 85th SEG Technical Program Expanded Abstracts, 1749–1753.
    [Google Scholar]
  6. MarfurtK., KirlinR., FarmerS. and BahorichM.
    [1998] 3d seismic attributes using a semblance-based coherency algorithm. Geophysics, 63(4), 1150–1165.
    [Google Scholar]
  7. MarfurtK., SudhakarV., GersztenkornA., CrawfordK. and NissenS.
    [1999] Coherency calculations in the presence of structural dip. Geophysics, 64(1), 104–111.
    [Google Scholar]
  8. MarfurtK.
    [2006] Robust estimates of 3D reflector dip and azimuth. Geophysics, 71(4), 29–40.
    [Google Scholar]
  9. O'DohertyR. and TanerM.
    [1992] A method of computing instantaneous frequency and dip. 54th EAGE, Expanded Abstracts, 180–181.
    [Google Scholar]
  10. TanerM. T., KoehlerF. and SheriffR. E.
    [1979] Complex seismic trace analysis. Geophysics, 44(6), 1041–1063.
    [Google Scholar]
  11. YuanS.Y. and WangS. X.
    [2011] A local f-x Cadzow method for noise reduction of seismic data obtained in complex formations. Petroleum Science, 8(3), 269–277.
    [Google Scholar]
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