Study on the Application of Intelligent Risk Monitoring Technology for Workover Operations

Abstract Workover operations, with complex equipment, heavy work and numerous personnel, are the core of maintaining daily operation, stabilizing and enhancing production of oil and gas fields. Risk monitoring is particularly important for ensuring operation quality, efficiency, safety and economic benefits. At present, the risks of workover operations are mainly judged by on-site workers, and automatic acquisition of operation data, intelligent risk identification and warning have not been realized. In order to improve the quality, efficiency, safety and economic benefits of workover operations, it is necessary to conduct research on the intelligent risk monitoring technology. With the aim of intelligent risk monitoring of workover operations, the study on key technologies for intelligent risk monitoring is carried out from three aspects of hardware, algorithm and software. First, the data acquisition device of workover operations is designed and developed, the data processing method is proposed, and the database of workover operations is established. Second, the intelligent risk monitoring and warning models of workover operations based on big data analysis are established. Third, the digital supervision system of workover operations is designed and developed, and the on-site testing and evaluation of the system are conducted. The data acquisition device of workover operations includes basic sensors, central control unit, management terminal, etc. The digital supervision system of workover operations includes functional modules of operation monitoring, risk warning, historical data, operation management, comprehensive analysis, and system management. With the use of data acquisition device and digital supervision system of workover operations, the key operation parameters, such as hook height, string depth, string weight, string speed, wellhead pressure, and hazardous gas, can be acquired and analyzed automatically. Meanwhile, the risks of abnormal operation parameters can be identified in time. The operation risks can be reduced, and the quality, efficiency, safety and economic benefits of workover operations can be ensured. The data acquisition device and digital supervision system of workover operations have been tested in 38 wells. Typical risks of abnormal operation parameters occurred 455 times, and the risks were identified 433 times by using this system, with a risk identification accuracy rate of 95.16%. With the use of intelligent risk monitoring technology for workover operations, the closed-loop management of data acquisition, risk monitoring, risk identification, risk warning, risk disposal and result feedback is realized, and the operation quality, efficiency, safety and economic benefits are improved effectively.