1887

Abstract

Summary

Strong seismic reflection often represents the oil and gas reservoir, or the tuning caused by thin layer. It is very important to accurately and effectively identify the true and false bright spots. In this paper, we propose a new hydrocarbon detection method based on the TK energy wavelet transform to detect the hydrocarbon reservoir with “high frequency bright spot” characteristic. Firstly, using the wavelet transform based on the TK energy, we can get different frequency divisions. The comparative analysis can identify the spectral characteristics of the thick water layer caused by the low frequency tuning, while the thin oil layer still has strong energy at high frequency. Then the frequency components are extracted, which is sensitive to the difference of oil and water layers. After weighted by the power index and merged of these selected frequency band seismic information, we can obtain the fluid indicator factor. Finally, the result of hydrocarbon detection is obtained by multiplying the fluid factor by the -90 degree phase shift result. The result effectively identifies the false bright spots caused by thick water layer. Thereby the model test and actual application show that the proposed method is feasible and effective.

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/content/papers/10.3997/2214-4609.201801356
2018-06-11
2024-03-29
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References

  1. Castagna, J P, SunS, SiegfriendR W
    , 2003, Instantaneous spectral analysis: Detection of low frequency shadow associated with hydrocarbon, The Leading Edge, 22(2):120–127.
    [Google Scholar]
  2. GaoJinghuai, ChenWenchao, LiYouming et al.
    , 2003, Generalized S transform and seismic response analysis of thin interbeds, Chinese Journal of Geophysics, 46(4):526–532.
    [Google Scholar]
  3. MatosD, MarfurtK J
    , 2009, Wavelet transform Teager-Kaiser energy applied to a carbonate field in Brazil, The leading Edge, 28(6): 708–713.
    [Google Scholar]
  4. WeiZhiping
    , 2009, Application of spectral decomposition tuning body technique to quantitatively predict thin reservoir, OGP, 44(3):337–340.
    [Google Scholar]
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