西南石油大学学报(自然科学版) ›› 2010, Vol. 32 ›› Issue (1): 145-147.DOI: 10.3863/j.issn.1674-5086.2010.01.029

• 石油机械工程及其他 • 上一篇    下一篇

基于最小二乘支持向量机的岩石可钻性研究

谢祥俊1;张琥1;范翔宇2   

  1. 1.西南石油大学理学院,四川 成都 610500; 2.西南石油大学石油工程测井实验室,四川 成都 610500
  • 收稿日期:2009-10-14 修回日期:1900-01-01 出版日期:2010-02-20 发布日期:2010-02-20
  • 通讯作者: 谢祥俊

DRILLABILITY BASED ON LEAST SQUARES SUPPORT VECTOR MACHINE

XIE Xiang-jun1;ZHANG Hu1;FAN Xiang-yu2   

  1. 1.School of Science,Southwest Petroleum University,Chengdu Sichuan 610500,China;2.Petroleum Engineering Well Logging Lab,Southwest Petroleum University,Chengdu Sichuan 610500,China
  • Received:2009-10-14 Revised:1900-01-01 Online:2010-02-20 Published:2010-02-20
  • Contact: XIE Xiang-jun

摘要:

岩石可钻性的确定直接影响钻头选型和钻速预测,国内外各主要油田虽对地层岩性的测定相当重视,但适合于油气井钻井条件的岩石可钻性问题仍未彻底解决。针对目前国内在钻头选型方面存在的困难和问题,提出了利用LS-SVM最小二乘支持向量机求取岩石可钻性的实用方法。该方法以测井资料为参数,利用LS-SVM支持向量机技术建立岩石可钻性的数学模型。该模型在SC油田DU4井中的应用中取得了较好效果。

关键词: 岩石可钻性, 支持向量机, 数学模型, LS-SVM, 测井参数

Abstract:

Drillability has a direct impact on the determination of drill bit type selection and drilling rate forecast,the major oil fields at home and abroad for the determination of lithology are very serious.However,suitability for the conditions of oil and gas wells drillability has not yet been completely resolved.In the bit type selection,based on the current domestic difficulties and problems that exist,the use of LS-SVM to strike a drillability practical method is presented.Logging data are selected as parameter,with LS-SVM Support Vector Machine technology,drillability mathematical model is built,and the model is applied to well DU4 SC Oilfield and good result achieved.

Key words: drillability, support vector machine, mathematical model, LS-SVM, well logging parameter

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