• 责任者：Wang Xingjian (Chengdu University of Technology ; Chengdu 610069 ; China) ; Ge Liangquan
• 刊名：Computing Techniques for Geophysical and Geochemical Exploration
• 出版年：2009
• 卷期：31(1)
• 关键词：AVO技术 ; AVO techniques ; 储层评价 ; reservoir evaluation
• 页码：p.53-57
• 图表：8 illus., 8 refs.
• 分类号：1600
• issnNo：ISSN1001-1749
• isbnNo：CN51-1242/P

AVO Attribute analysis can identify the lithology fluid property for the sandstone sedimentary environment. The prediction can merely make qualitative analysis because there are AVO effects of large-scale lithology guidance similarity. This paper uses the well logging curves to make trend analysis to obtain the probability density function of different lithology parameters, probability statistic model based Monte Carlo method and different fluid distribution map according to different depth. The Poisson ratio attribute are graphed through computing the pre-stack seismic data of target layers and adjust the probability distribution map of models by selecting the different regions and the quantitative analysis are achieved by computing probability value of the different fluid using the Bayesian formula.