Seismic attribute optimization method based on grey relational analysis and genetic algorithm
Huang Han-dong1,2, Zhao Di1,2, Zhang Ru-wei3, Chen Ming-pei4, Wang Qing-zhao5
1. State Key Lab of Petroleum Resource and Prospecting,China University of Petroleum,Beijing City,102249,China;
2. Beijing City Key Lab of Earth Prospecting and Information Technology,China University of Petroleum,Beijing City,102249,China;
3. Guangzhou Marine Geological Survey,Guangzhou City,Guangdong Province,510760,China;
4. College of Geophysics and Resources,Yangtze University,Jingzhou City,Hubei Province,433200,China;
5. Tarim Branch of Well Logging Company,Western Drilling Engineering Cooperation,Korla City,Xinjiang Autonomous Region,841000,China
Abstract:When applying seismic attributes in prediction studies of reservoir physical property (porosity),its precision and accuracy are always the main concern in the oil-field exploration and development,and the attribute optimization method is the focal point.Based on optimization method the rational integration of grey relational analysis,genetic algorithm and BP network could raise the prediction ability of reservoir physical property (porosity).The work can be done as below,at first using inversion results to conduct detailed reservoir interpretation,extracting related attributes along the layers and conducting grey relational analysis and looking for sensitive attributes,then utilizing genetic algorithm and BP network to optimize the attribute combination,and obtaining optimum attribute combination,at last the prediction of reservoir physical property (porosity) was realized.The application results show that the method is a precise in reservoir prediction.