The Application of High Frequency Bright Spot Based on T-K Energy Wavelet Transform in Hydrocarbon Detection
D.J. Hou, D.H. Zhou, P.P. Zhang, C. Li and H.G. Zhang
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Dynamic Reservoir Characterization and Modelling A
Publication date: 03 June 2019
Info: Extended abstract, PDF ( 701.8Kb )
Price: € 20
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 hydrocarbon detection result 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 and enhances the recognition ability of thin reservoirs. Thereby the model test and actual application show this method is feasible and effective.