探矿工程-岩土钻掘工程Issue(10)：31-34,4.
基于模式识别理论的卡钻类型判别分析
Discriminant Analysis on Sticking Based on Pattern Recognition Theory
摘要
Abstract
The Support Vector Machine (SVM), Bayes discriminant analysis and multiple regression analysis were used for di-agnosis and prediction of sticking.The discriminant model of stick type was built based on pattern recognition theory.The calcu-lation analysis on the sticking data of northeastern Sichuan was made, it was indicated that the misjudgment rate for discriminant result of SVM, Bayes discriminant analysis and multiple regression analysis was 1.92%, 11.52%and 61.54%.The accuracy of SVM recognition result was the highest, but its discriminant equation is complex and the contribution of each component to the result could not be intuitively seen;while the equation of multiple regression analysis is simple, which could intuitively show the close degree between each component and sticking, but the accuracy of recognition result was lower.The accuracy of Bayes dis-criminant analysis was between the above two, but the discriminant accuracy is closely related to the number of discriminant.关键词
模式识别/支持向量机/Bayes判别法/多元回归/卡钻Key words
pattern recognition/Support Vector Machine, Bayes discriminate method/multiple regression/sticking分类
地质学引用本文复制引用
吴军,臧艳彬,陈星星..基于模式识别理论的卡钻类型判别分析[J].探矿工程-岩土钻掘工程,2015,(10):31-34,4.基金项目
中石化科技攻关项目“页岩气‘井工厂’技术研究” （）
