The authors are grateful for the support of the National Natural Science Key Foundation of China (Grant Nos. 91958206, 91858215), the Key Research and Development Program of Shandong (Grant No. 2019GHY112019), the China Sponsorship Council (Grant No. 201806335026), the Opening Foundation of Key Lab of Submarine Geosciences and Prospecting Techniques, MOE, Ocean University of China (Grant No. SGPT-20210F-06), and the Fundamental Research Funds for the Central Universities (Grant No. 202161013).
The accurate prediction of formation pressure is important in oil/gas exploration and development. However, the achievement of this goal remains challenging, due to insufficient logging data and the low predictive data accuracy from seismic data. In this work, a case study was carried out in the Baima area of Wulong, in order to develop a workflow for accurately predicting shale gas formation pressure. The multi-channel stack method was first used, as well as the inversion of single-channel seismic data, to construct velocity and density models of the formation. Combined with the existing well-logging data, the velocity and density models of the whole well section were established. The shale gas formation pressure was then estimated using the Eaton method. The results show that the multi-channel seismic stacking method has a higher accuracy than the inversion of the formation velocity obtained by the single-channel seismic method. The discrepancies between our predicted formation pressure and the actual formation pressure measurement are within an acceptable range, indicating that our workflow is effective.
XING Lei, LI Yu, LI Qianqian, LIU Yaowen, WAN Yunqiang, YANG Huiliang.2022. Prediction of Shale Gas Pressure based on Multi-channel Seismic Inversion in Fuling[J]. ACTA GEOLOGICA SINICA(English edition),96(4):1237~1245复制