杨建华

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:吉林工业大学

学位:硕士

所在单位:控制科学与工程学院

电子邮箱:jianhuay@dlut.edu.cn

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The Algorithm Research on Coal-bed Methane Single-well Prediction and Fault Diagnosis based on Grey Theory and Time Series

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论文类型:会议论文

发表时间:2015-01-01

收录刊物:CPCI-S

页面范围:308-314

关键字:Coal bed methane gas; Time series; Grey Theory; Fault Diagnosis; Trend Change; Prediction

摘要:As a new type of energy, coalbed gas plays an important role in the national resource structure. With the large-scale production, high security requirement is necessary to the development of coalbed gas single well. We hope a rapid, correct prediction and fault diagnosis to save the property and lives. According to the actual survey of the single-well site, we find that the wells located in different site has different natural environment and sometimes we can't acquire enough datas in different working status. There exists correlation between gas producing parameters and the parameters have abnormal trend change in different fault, which requires us to find a new fault diagnosis method to solve this problem. Aimed at the new problems, this paper proposes a method based on grey theory and time series theory. We create the corresponding parameters' time series model to make the prediction and fault diagnosis. The innovation of this paper is the use of multi-parameters time series model to measure the working state of the single well. The simulation results show that this method has good practicality, and can be applied to both parameters' prediction and fault diagnosis of single well.