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The Application of Wavelet Transform Based on T-K Energy in Recognition of True and False Bright Spots
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
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.