A Rod Pump Working Condition Diagnosis Method Based on Fourier Transform and Geometric Features
A technology of Fourier transform and geometric features, which is applied in the field of working condition diagnosis of rod pumps based on Fourier transform and geometric features, can solve the problems that cannot fully meet the machine learning diagnosis of rod pumps, the accuracy is not high, and there are problems. Rod pump working condition diagnosis efficiency is low and other problems, to achieve the effect of improving efficiency, efficient diagnosis, and improving calculation accuracy
Active Publication Date: 2022-07-12
CHINA UNIV OF PETROLEUM (EAST CHINA)
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[0004] However, in terms of feature extraction of dynamometer diagrams, the commonly used methods are: dynamometer diagram Hu moments, Fourier descriptors, dynamometer curvature feature vectors, and gray matrix, which cannot fully meet the requirements of machine learning diagnosis of rod pumps. Necessary, resulting in low efficiency and low accuracy of rod pump working condition diagnosis
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[0232] The method of the present invention will be described below in conjunction with specific oilfield data, and the feasibility and superiority of the method of the present invention will be verified at the same time. The data in this example comes from a certain block of an oil field. There are 7542 pieces of production data of rod pumps in this block. According to a certain ratio (training set: test set=8:2), the data set is randomly divided into training set and test set There are 6042 training set data and 1500 test set data.
[0233] The working conditions of the rod pump included in this block are: normal pump operation, insufficient liquid supply, continuous pumping and spraying, broken sucker rod, gas effect, pump leakage, oil pipe leakage, and piston out of the working cylinder.
[0234] In this embodiment, the python programming software is used to write the program of the working condition diagnosis model of the rod pump.
[0235] When using the training set for...
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The invention discloses a method for diagnosing a working condition of a rod pump based on Fourier transform and geometric features, belonging to the technical field of diagnosing working conditions of a rod pump. The method includes the following steps: selecting all obtained rod pump production data; Extract the Fourier coefficient based on the wave equation; obtain the curve data of the dynamometer, and extract the simple geometric features of the dynamometer; use DCA to fuse the Fourier coefficient with the simple geometric features; use the XGBoost algorithm to build a rod pump Working condition diagnosis model, and perform model training; carry out parameter optimization of the rod pump working condition diagnosis model; perform model performance evaluation on the optimized rod pump working condition diagnosis model; Applied to the oil field. The invention can improve the efficiency of diagnosing the working condition of the rod pump at the oilfield development site, and at the same time improve the effective utilization of the existing data of the oil field, so as to realize the efficient diagnosis of the working condition of the rod pump.
Description
technical field [0001] The invention belongs to the technical field of rod pump working condition diagnosis, in particular to a rod pump working condition diagnosis method based on Fourier transform and geometric features. Background technique [0002] In the petroleum industry, the rod pump is the most commonly used artificial lift method, while the rod pumping unit mostly works in the field, with a remote location and harsh natural environment, and the downhole working conditions of the rod pumping system are complicated. Improper fault diagnosis and treatment measures of the rod pump will directly affect the output of the oil field, and even serious production accidents that endanger personal safety will occur. In order to reduce the risk of oilfield development and the cost of oilfield development, the method of machine learning is used to realize the intelligent diagnosis of the working condition of the rod pump. This technology is also an effective technology to realiz...
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IPC IPC(8): G06F30/27G06K9/62E21B47/008
CPCG06F30/27E21B47/008G06F18/24323G06F18/253
Inventor 张凯李敏张黎明张华清严侠刘丕养杨勇飞孙海姚军樊灵
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)