The application of post-stack inversion technology to the prediction of fracture and pore reservoir in Yangshuiwu buried hill
WANG Ya1,2(), YI Yuan-Yuan1, WANG Cheng-Quan3, WANG Meng-Hua3, YANG Zhou-Peng3, ZHANG Hong-Wen3, WANG Sheng-Liang3, JIA Jing3
1.School of Geophysics & Oil Resources,Yangtze University,Wuhan 434023,China 2.Economic Reserach Institute of Huabei Oilfield Company,Renqiu 062552,China 3.Exploration and Development Research Institute of Huabei Oilfield Company,Renqiu 062552,China
The Ordovician carbonate reservoirs in Yangshuiwu buried hill are widely distributed,and fractured porous reservoirs are well developed. But due to its deep reservoir,low resolution of seismic data, and unclear acoustic logging characteristics of reservoirs,it is difficult to achieve effective reservoir distribution prediction by conventional acoustic inversion.Based on the analysis of logging response characteristics of drilled reservoirs,the resistivity curves sensitive to effective reservoir response are selected and reconstructed with acoustic curves.The resistivity pseudo-acoustic curves with acoustic background are obtained.Then,the distribution prediction of effective reservoirs is realized based on post-stack logging constrained model inversion technology.Finally,the inversion of reservoir parameters based on neural network simulation technology is carried out by using the porosity curve and the pseudo-acoustic impedance curve drilled to realize the prediction of the planar distribution of porosity in this study area.Practice has proved that the forecasting method is effective and practical,and has a good application effect in the buried hill area of Yangshuiwu.
王亚, 易远元, 王成泉, 王孟华, 杨洲鹏, 张红文, 王盛亮, 贾敬. 叠后反演技术在杨税务潜山裂缝孔隙型储层预测中的应用[J]. 物探与化探, 2020, 44(5): 1208-1214.
WANG Ya, YI Yuan-Yuan, WANG Cheng-Quan, WANG Meng-Hua, YANG Zhou-Peng, ZHANG Hong-Wen, WANG Sheng-Liang, JIA Jing. The application of post-stack inversion technology to the prediction of fracture and pore reservoir in Yangshuiwu buried hill. Geophysical and Geochemical Exploration, 2020, 44(5): 1208-1214.
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