A Fault Diagnosis Model for Electric Submersible Progressive Cavity Pumps Based on Feature Fusion and Application

In view of the popularization and application of the real-time monitoring parameter acquisition system for electric submersible screw pumps in the current Changqing Oilfield shale oil field, this paper proposes a method for diagnosing the operational faults of electric submersible screw pump wells based on SPC rules and real-time data fusion. By constructing a multi-parameter fault analysis table for electric submersible screw pump wells, expanding the SPC rule model, and introducing multi-parameter weight factors, a fault probability model for electric submersible screw pump wells was established, and a fault diagnosis method for electric submersible screw pump wells was formed. An online fault diagnosis software for electric submersible screw pump wells was developed and deployed in 102 electric submersible screw pump wells in the shale oil block of Changqing Oilfield. Taking 3 types of flexible shaft breakage and wax deposition as examples, the application process of the fault diagnosis method was analyzed. Research applications have shown that by establishing a multi-feature fusion fault diagnosis method to calculate the probability of failure in real time for electric submersible screw pump wells, the real-time and accurate identification of two types of sudden failures and six types of gradual failures has been solved, significantly improving the intelligent diagnosis level of production failures in shale oil electric submersible screw pump wells.