作者单位：河南理工大学资源环境学院；河南省有色金属地质矿产局第六地质大队；中国石油大学(北京)；河南省地质矿产勘查开发局第三地质矿产调查院

Abstract：In recent years, shale gas exploration has become a hotspot in new energy development particularly for shale gas seismic explorations. The effective analysis of seismic informations from seismic data and searching shale gas reservoir accumulation are very important. The instantaneous amplitude attributes can effectively reflects the shale gas enrichment characteristics. Suiyang shale gas block in Guizhou province was taken as an example to improve the accuracy of shale gas reservoir recognition. Several spectral decomposition algorithms ( i. e., DFT, CWT, TFCWT and ST) on the lower Cambrian system in seismic data of cattle shoe pond formation were used to extract the seismic information. Different frequency spectrum decomposition algorithms were gathered in the time domain and frequency domain at the same time to show the changes of amplitude versus frequency characteristic. The results show that TFCWT and ST algorithms have good performances in reflecting the shale gas reservoir accumulation. They can provide technical supports for seismic data inversion of shale gas reservoir.

Keyword：seismic information;shale gas reservoir accumulation;time-frequency analysis;frequency gather;ST algorithm;