Recently, the digital project of 300 oil wells of the Liaohe Oil Field Demonstration Project “Long-distance Measurement and Optimization Control System for Oil Wells†undertaken by the Institute of Industrial Control Networks and Systems, Shenyang Institute of Automation, Chinese Academy of Sciences has been fully implemented. The system is based on the WIA wireless sensor network. The wireless monitoring point reaches 1500 points. The current overall system operation is stable. The system hardware includes temperature transmitter, oil pressure transmitter, gland pressure transmitter, RTU, dynamometer, wireless gateway, wireless bridge, etc. The temperature, oil pressure, sleeve pressure, and dynamometer diagram (load) are collected. And the relationship between the displacement curve), power and other key production parameters. The software uses B/S architecture to design, including data display, power diagram diagnosis, theoretical work diagram, output measurement, output analysis, data history trend and other functional modules. The core optimization algorithm has applied for 5 invention patents and reached the leading level in the domestic industry. Among them, the power diagram diagnosis algorithm realizes the remote diagnosis of the working status of the oil well underground pump, covering 16 kinds of working conditions, including: normal work, gas influence, lack of liquid supply, sucker rod off, oil thick, swimming loss Wait. After long-term data analysis and algorithm improvement, the diagnostic accuracy of the power diagram is above 96%, which can be used as a judgment basis for the working status of oil wells and guide production. The liquid production quantity measurement algorithm realizes the remote soft metering function of oil wells. Through the curve of the relation between the load and displacement of the suspended load collected by the wellhead dynamometer, combined with basic data such as rod and column combination, crude oil viscosity and crude oil density, the curvature change rate is obtained by obtaining the maximum The point is that the effective stroke is calculated and the yield curve is obtained by combining the pump leakage curve. The parameters are corrected and adjusted through statistics and analysis to achieve the optimal combination of parameters. At the same time, with the parameters such as water content, the amount of liquid produced and the amount of oil produced were obtained. After a long period of practice and analysis, the current average error of calculated fluid production is within 9%, which is of great significance for production. The comprehensive application of oil well remote metering and optimization control system has promoted the refinement and digitization of oil fields. The system has already been installed and debugged in Jilin Oilfield and Shengli Oilfield. It has laid a technical foundation for large-scale application and promotion and application in Changqing Oilfield and Xinjiang Oilfield.
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Research progress on remote metering and optimization control system of oil wells in Shenyang Institute of Automation