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| A borehole collision recognition method based on the time statistical characteristics |
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LIU Gang1, ZHANG Jialin1, LIU Chuang2, LIU Hualiang3, YU Changguang4
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(1.School of Petroleum Engineering in China University of Petroleum, Qingdao 266580, China;2.China Research Institute of Radio Propagation, Xinxiang 453000, China;3.Shengli Drilling Engineering and Technology Company, SINOPEC, Dongying 257064, China;4.CNOOC Energy Technology Drilling ＆ Production Corporation, Tianjin 300452, China)
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| Abstract: |
| 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. |
| Key words: borehole collision time-domain feature principal component analysis support vector machine |
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