The shale gas resource is abundant in China, but the exploration level is relatively low. Because of the shortage of drilling and well logging data, the research on high precision seismic fluid identification method is of crucial importance. Conventional post-stack seismic inversion method can identify the shale formations, but cannot distinguish the gas-bearing shale and gas-free shale. However, the liquid mobility factor can effectively characterize the permeability of reservoir. In this paper, we propose a practical method for the prediction of shale gas sweet spots, which combines liquid mobility factor with high precision time-frequency analysis method. Firstly, we analyse the time-frequency characteristics of fluid based on the matching pursuit method, then calculate the liquid mobility factor and quantify its range in shale gas sweet spots based on logging data. Eventually, the distribution of shale gas sweet spots can be predicted. Application of this method in Baojing shale area of Hunan province in South China shows that the prediction results are consistent with the drilling, gas testing and well logging data, which achieves a good exploration effect and may play a significant guiding role in the shale gas exploration.


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