Abstract：This paper focuses on an approach to the fault-karst carbonate reservoir characterization on seismic data with disordered facies.A discontinuity detection method combining coherence with the generalized S-transform spectrum decomposition is adopted on the basis of conventional discontinuity detection.After the calculation of spectral decomposition based on the generalized S transform,the adaptive dominant frequency optimization is used to obtain data volumes of amplitude spectrum with different depths and different scales,which can be used as inputs of discontinuity detections.Thus the adaptive multi-scale discontinuity analysis of the original seismic data is realized and subtle faults caused by edge collapses of fault-karst carbonate reservoirs are depicted.Compared with conventional discontinuity attributes,this approach can better detect subtle changes of formations and has a higher noise-resistance.Our study proves the validity of the proposed approach for the fault-karst reservoir characterization.
姜晓宇, 宋涛, 杜文辉, 戴晓峰, 范兴燕. 利用广义S变换频谱分解不连续性检测技术预测断溶体油藏[J]. 石油地球物理勘探, 2019, 54(6): 1324-1328.
JIANG Xiaoyu, SONG Tao, DU Wenhui, DAI Xiaofeng, FAN Xingyan. Fault-karst carbonate reservoir prediction with the spectral decomposition discontinuity detection based on generalized S transform. Oil Geophysical Prospecting, 2019, 54(6): 1324-1328.
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