Reservoir prediction based on shear wave in Sulige Gas Field
Liu Yajie1,2, Li Shengjie1, Wang Yonggang3, Xia Yonghui4
1. China University of Petroleum (Beijing), Beijing 102249, China;
2. Poly-doctor Petroleum Technology Company Ltd.Beijing, Beijing 102200, China;
3. Exploration & Development Research Institute, Changqing Oilfield Company, PetroChina, Xi'an, Shaanxi 710018, China;
4. Development Department, Changqing Oilfield Company, PetroChina, Xi'an, Shaanxi 710018, China
Abstract：Reservoir lithology and properties, and fluid identifications in the area A, Sulige Gas Field have had huge difficulties due to the lack of shear wave velocity. Inaccurate shear wave velocity prediction leads to poor reservoir characterization. We first determine rock physical parameters based on geological, drilling, logging, and seismic data for Xu-White model building. Then we predict shear wave velocity in the study area, and the predicted shear velocity is well matched with logging data. Finally we carry out reservoir identification with rock physics analysis and prestack seismic inversion. The following observations are obtained: ①Sandstone and shale can be classified with P- and S-wave velocity ratios, shear modulus, lamda/shear modulus, and bulk modulus/shear modulus; and fluid can be identified with the crossplots of lame modulus/shear modulus vs P-wave impedance, bulk modulus/shear modulus vs impedance, and Poisson's ratio vs P-wave impedance. ②Gas layer thickness prediction, reservoir identification and reservoir distribution prediction with the proposed approach are well matched with drill data and real geological conditions.
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