Shale reservoir anisotropic characterization based on rock physics
Liu Cai1, Deng Xinhui1, Guo Zhiqi1, Liu Xiwu2,3,4, Liu Yuwei2,3,4
1. Geo-exploration Science and Technology Institute, Jilin University, Changchun, Jilin 130026, China; 2. National Key Laboratory of Shale Oil/Gas Enrichment Mechanism and Effective Development, SINOPEC, Beijing 100083, China; 3. Key Laboratory of Shale Oil/Gas Exploration and Production Technology, SINOPEC, Beijing 100083, China; 4. Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 10008, China
Abstract:Based on Well A data in Luojia area, we use Backus averaging method to upscale well data to seismic scale, and simulate seismic AVO response with the anisotropic propagator matrix.Then we carry out well-to-seismic calibration with combination of seismic data.We put forward the AVO inversion algorithm for calculating VTI parameters based on VTI medium reflection coefficient theoretical formula.With the result of rock physics inversion in well, we obtain the spatial distribution of fractures in shale oil reservoir.The following understanding are obtained:A.When the value of anisotropic parameter ε in the model increases, the reflection amplitude at far offsets decreases gradually; B.Anisotropic parameters and the horizontal fracture density calculated by the seismic inversion are accord with the result obtained by rock phy-sics.And the inverted spatial distribution of horizontal fractures is associated with the production of oil and gas, which proves the validity of the inversion method.
刘财, 邓馨卉, 郭智奇, 刘喜武, 刘宇巍. 基于岩石物理的页岩储层各向异性表征[J]. 石油地球物理勘探, 2018, 53(2): 339-346.
Liu Cai, Deng Xinhui, Guo Zhiqi, Liu Xiwu, Liu Yuwei. Shale reservoir anisotropic characterization based on rock physics. Oil Geophysical Prospecting, 2018, 53(2): 339-346.
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