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Predicating reservoir sensitivity rapidly with single-correlation analysis and multiple regression

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3 Author(s)
Yuxue Sun ; Northeast Pet. Univ., Daqing, China ; Chang Xiao ; Yinsheng Lang

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 it's an ideal, fast, new method to use single-correlation analysis and multiple regression 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 reservoir-sensitivity, 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.

Published in:

Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International  (Volume:2 )

Date of Conference:

20-22 Aug. 2011

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