会议专题

Predicating Reservoir Sensitivity Rapidly With Single Correlation Analysis And Multiple Regression

Sensitivity analysis is the premise of studying reservoir-damage mechanism, meanwhile it is also extremely significant to optimize each work link during exploratory boring and development process, and to formulate systemic reservoir-protection technology solutions. After discussing various reservoir-sensitivity prediction methods developed in recent years-, we have found that its an ideal, fast, new method to use single-correlation analysis and multiple. fegression to predicate reservoir sensitivity. On the basis of conventional core analysis and sensitive mineral analysis, we extract information relevant to every sensitivity, and use the new method above mentioned to predict reservoirsensitivity, the accuracy of forecasting results can reach 85%, basically meet the needs of reservoir sensitivity predicted. Compared with single methods, the method.combined single-correlation analysis and multiple regression is obviously improved when predicate reservoir sensitivity, and it is simple, widely applicable and with explicit physical significance.

single-correlation analysis multiple regression sensitivity analysis core analysis sensitive mineral

Yuxue sun Chang Xiao Yinsheng Lang

Northeast Petroleum University NEPU Daqing China NO,l Drilling Company of Daqing Drilling Engineering Company NO, IDC Daqing China

国际会议

2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

重庆

英文

603-607

2011-08-20(万方平台首次上网日期,不代表论文的发表时间)