A borehole collision recognition method based on the time statistical characteristics

被引：3

作者：

Liu G. ^{[1
]}

Zhang J. ^{[1
]}

Liu C. ^{[2
]}

Liu H. ^{[3
]}

Yu C. ^{[4
]}

机构：

[1] School of Petroleum Engineering in China University of Petroleum, Qingdao

[2] China Research Institute of Radio Propagation, Xinxiang

[3] Shengli Drilling Engineering and Technology Company, SINOPEC, Dongying

[4] CNOOC Energy Technology Drilling & Production Corporation, Tianjin

来源：

Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) | 2016年 / 40卷 / 02期

关键词：

Borehole collision; Principal component analysis; Support vector machine; Time-domain feature;

D O I：

10.3969/j.issn.1673-5005.2016.02.008

中图分类号：

学科分类号：

摘要：

During well drilling, special time-domain features of drilling bit vibration signals will be produced when drilling at cement sheath and casing, which are different with that when drilling through rock formations. A new method for the recognition of borehole collision was proposed by analyzing the vibration signals produced when the drill bit collided with the cement sheath and casing of nearby wells. Firstly, the dispersion and shape distribution characteristics of the vibration signals were extracted, then the principal component analysis (PCA) was conducted to obtain the principal features of the signals. Finally a support vector machine (SVM) was trained with sampled signals to establish a model, which could be used to identify the borehole collision automatically by distinguishing the principal features of different vibration signals. This method has been effectively verified through real drilling data analysis from offshore cluster wells. © 2016, University of Petroleum, China. All right reserved.

引用

页码：70 / 75

页数：5

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