Quantitative seismic prediction of shale gas sweet spots in Lower Silurian Longmaxi Formation, Weiyuan area, Sichuan Basin, SW China
ZENG Qingcai1, CHEN Sheng1,2, HE Pei1, YANG Qing1, GUO Xiaolong1, CHEN Peng1, DAI Chunmeng1, LI Xuan1, GAI Shaohua1, DENG Yu1, HOU Huaxing1
1. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China; 2. China University of Petroleum, Beijing 102249, China
Abstract：Sweet spots in the shale reservoirs of the Lower Silurian Longmaxi Formation in Block Weiyuan 201 of Sichuan Basin were predicted quantitatively using seismic data and fuzzy optimization method. First, based on seismic and petrophysical analysis, the petrophysical features of reservoir rock were determined, and elastic parameters sensitive to high gas content shale were selected; second, high resolution data volumes of the elastic parameters were obtained from prestack simultaneous inversion, and the planar distribution of key parameters of shale gas evaluation were calculated based on the results of petrophysical analysis; third, the fuzzy evaluation equation was established by fuzzy optimization method with test and logging data of horizontal wells with similar operation conditions; fourth, key parameters affecting the productivity of horizontal wells were sorted out and the proportions of them in the sweet spot quantitative prediction were worked out by fuzzy optimization to set up a sweet spot evaluation system. Three classes of shale gas reservoirs and 2 kinds of sweet spots were predicted with the above procedure, and the sweet spots have been predicted quantitatively by combining the above prediction results with the testing production. The testing results of 7 verification wells proved the reliability of the prediction results.
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2018, Vol. 45 
