Improved window parameter optimized S-transform and its application in channel detection
ZHANG Fuai1, CHEN Xuehua1,2, LUO Xin2, ZHANG Jie2, XU He2
1. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan 610059, China; 2. Key Lab of Earth Exploration & Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu, Sichuan 610059, China
Abstract：Time-frequency analysis, which can process non-stationary signals, is an important tool for seismic signal analysis. The resolution of time-frequency is the key to high-precision reservoir prediction. The time-frequency focusing of conventional S-transform is difficult to fulfill the high-precision prediction of reservoirs. Therefore, an improved window parameter optimized S-transform method is proposed. According to the amplitude spectra of actual signals, the scale parameters of the window function are adaptively solved and then the window parameters are further improved with new optimization parameters. The comparative analysis of the synthetic signals indicates that the proposed method has better time-frequency focusing performance and higher resolution at both high and low frequency bands. The results of channel detection from the actual seismic data show that this method can better highlight the characteristics of channels, depict their details, and display their continuity. It can provide favorable method support for the fine reservoir description of seismic data.
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