Bei Dou-based Vertical Wells Sucker Rod Pumping Equipment Displacement Load Transmission And Intelligent Analysis

Oil is the important resources in the national economy, in oil extraction at home and abroad for vertical wells, the sucker rod pumping is the main mode of production. The sucker rod pumping equipment failure occurs frequently because of hostile environment and complexity of underground working conditions. This not only reduces oil well produced fluid volume, even lead to accidents, causing great economic losses. So troubleshooting for pumping equipment in a timely manner and ensuring the normal operation of pumping equipment is of great significance for ensuring oilfield production and operation. In our country, most oil fields still use the artificial condition diagnosis method, which has been unable to meet the needs of the development of oil field production. At the same time, we know that displacement and load data can form the indicator diagram, and it can response pumping unit working conditions directly, how to get working condition of pumping unit with intelligent diagnosis method, has become an urgent problem of oilfield production system.Bei Dou Navigation Satellite System is the world’s third mature satellite navigation and positioning system after GPS and GLONASS which is independent research and development by our country. That distinguishes Bei Dou from other systems’ biggest advantage lies in its short message communication function, this function can provide user with user or user with the ground central station with maximum 120 characters or 1680 bits of data transmission communication services. Based on the Bei Dou short message communication technology, we have developed Bei Dou satellite data transmission system. System can collect displacement and load data, through the Bei Dou satellite to transmit data to the remote oil field command center, and store the data in the database for future research. However, the system can only realize data acquisition, transmission and sharing, it is lack of data analysis function. On this basis, this paper will develop a set of intelligent diagnosis system which will be able to visualize displacement and load data into indicator card, and then using intelligent diagnosis technology to analyse that indicator card, so that we can get the working condition of pumping unit.According to the working principle of pumping unit and the reasons for the formation of indicator diagram, the paper has analysed the geometry characteristics of several kinds of typical indicator cards, putting forward the new way of eigenvalue extraction for indicator card, we also studied the changing rule of indicator card’s each area, curvature and slope with the method of "separated area". For the research of intelligent diagnosis algorithm, we finally choose expert system diagnosis algorithm which is more suitable for oil field to analysis displacement and load data. The past research on displacement and load data with expert system is only in view of indicator card’s area or the curvature to analyze, this way of research is one-sided and only applies to one well. This paper on the basis of previous studies, use expert system and improved eigenvalue extraction method, considering characteristics such as area, slope and curvature to establish a set of rules library. Calculating oil production by studying the flow calculation method. At the same time, this paper concludes experts’ advices for different working condition faults. Integrated application of rule base, production, and advices to construct the knowledge base of expert system. For the construction of reasoning machine, we use the secondary screening mechanism which is based on slope and area to diagnose pumping unit fault.Finally, the paper developed the well indicator card intelligent diagnosis system with Java Web technology. Based on the displacement and load data translated by Bei Dou satellite, we visualize the data as indicator card in the first place, and then analyzing the displacement and load data with expert system of intelligent algorithms, calculating pumping unit fault condition, oil well production and the corresponding fault response. The system has a common applicability that can diagnose different oil Wells. Through the performance test, it shows that this system can accurately diagnose pumping unit failure under various working conditions.