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《Journal of Daqing Petroleum Institute》 2006-01
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Supporting vector machine technology for drilling stem failure in oil drilling engineering

YAN Tie,WANG Chang-jiang,BI Xue-liang,CHEN Yao-hui,LIU Wei-kai(Petroleum Engineering College,Daqing Petroleum Institute,Daqing,Heilongjiang 163318,China)  
In this paper,the basal contents and methods of the SVM technology are introduced and a drill stem failure learning model based on the SVM technology is established by learning small data samples to optimize the model in order to study the drill stem failure in drilling engineering.In addition,the model is applied to the classification of the drilling data from spot for predication experiment,the very similar results are obtained.The results indicate that the SVM technology and its learning model are applicable in drilling engineering.
【Fund】: 黑龙江自然科学基金资助(E200507)
【CateGory Index】: TE921
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