[1]Zhu Xiaodong,Yuan Kunjie,Wang Yanling.An Accident Prewarning Method of Oil Drilling Based on Hidden Markov Model[J].Journal of Zhengzhou University (Engineering Science),2018,39(04):51-57.[doi:1013705/j.issn.1671-6833.2018.01.011]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 04
Page number:
51-57
Column:
Public date:
2018-07-22
- Title:
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An Accident Prewarning Method of Oil Drilling Based on Hidden Markov Model
- Author(s):
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Zhu Xiaodong1; Yuan Kunjie1; Wang Yanling2
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1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan, 450001; 2. School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, 450001
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- Keywords:
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Hidden Markov Model; Trend Feature Extraction; Drilling Accident; Early Warning System
- CLC:
-
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- DOI:
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1013705/j.issn.1671-6833.2018.01.011
- Abstract:
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In order to predict the accidents of oil drilling process in real time and accurately, an early warning method based on Continuous Hidden Markov Model (CHMM) was constructed. The patameters of average vaule in long-time and short-time were utilized to construct the characteristic which could reflect the changing trend of the original parameters. The CHMM model was established based on the characteristic variables and was trained by the history data. Then the matching probability was calculated by the forwardalgorithm and the threshold of the warning system was determined by the statistical method. For each kind of drilling faults, the strategy for judging the warning results based on multiple parameters was designed. The results of experiment proved that the CHMM waring model could predict the drilling accidents more promptly and effectively.