Seismic Attribute Optimization Method Based on Grey Relational Analysis and Genetic Algorithm

• 责任者：Huang Handong (State Key Lab. of Petroleum Resource and Prospecting ; China University of Petroleum ; Beijing 102249 ; China) ; Zhao Di
• 刊名：Oil Geophysical Prospecting
• 出版年：2010
• 卷期：45(3)
• 关键词：地震属性 ; seismic attributes ; 储层预测 ; reservoir prediction
• 页码：p.381-383,391
• 图表：3 illus., 2 tables, 22 refs.
• 分类号：1600
• issnNo：ISSN1000-7210
• isbnNo：CN13-1095/TE

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.