Reservoir fluid mobility extraction based on the deconvolution generalized S-transform
LIU Jie1,2, ZHANG Yijiang3,4, WANG Xiuling2, ZENG Shao-gang2, ZHANG Wenzhu2
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. Shenzhen Branch, CNOOC, Shenzhen, Guangdong 518067, China; 3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu, Sichuan 610059, China; 4. Geophysical Institute, Chengdu University of Technology, Chengdu, Sichuan 610059, China
Abstract：In the calculation of fluid attributes, the resolution of fluid mobility attribute profiles obtained by time-frequency analysis methods are different, which affects the accuracy of reservoir prediction, and in this calculation, it is difficult to obtain key parameters of rock physics (such as the bulk modulus of rock matrix).Therefore, the deconvolution generalized S-transform and linear regression method (LRM) are introduced to extract the fluid mobility attribute.The realization of the method is as follows:the bulk modulus of matrix is calculated by LRM, the peak frequency is calculated by Silin's formula of peak frequency of fast P-wave reflection resonance, and the reservoir fluid mobility is obtained by the relationship between fluid mobility attribute and derivative of amplitude to frequency; then the deconvolution generalized S-transform is used to improve the resolution of fluid mobility attributes profile.Results of the simulation test and case analysis show that the proposed approach has high time-frequency resolution and a strong ability to distinguish different signal components in non-stationary signals, which is more suitable for fluid mobility attribute calculation of non-stationary seismic signals.LRM provides a method for determining the bulk modulus of rock matrix.
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