Sistema supervisor inteligente para procesos de producción de petróleo

Abstract

The production maximization of heavy and extra heavy oil wells is the main benefit to be obtained from the control systems that are currently operating on oil companies. Given the complex and changing nature over time of existing artificial lift methods for oil extraction, meeting the specifications set for the processing of crude using conventional regulatory control is a difficult task. Taking this into account, this paper presents an intelligent supervisory system that detects changes in the operating conditions of the production process and makes automatic adjustments in its set points. Furthermore, the proposed supervisory system has the ability to detect faults in the sensors involved in the control loops, thus ensuring reliable operation of the process. The proposed supervisory system was tested in a real oil well, yielding results that exceeded expectations.