Condition monitoring and fault diagnosis of electric submersible pump based on wellhead electrical parameters and production parameters

Abstract

Electric submersible pump (ESP) has become an important mechanical oil equipment in the digital oil field, and it is necessary to perform the condition monitoring and fault diagnosis on the ESP system. An on-line technique is proposed based on the electric parameters and production parameters. To realize the fault diagnosis of the ESP in the ground, the algorithms are designed by feature extraction, and the algorithms combine the electric parameters in the electric cabinet with the production parameters, which are separated by a newly designed gas–liquid two-phase flow meter. Meanwhile, electrical parameters are the main ones and production parameters are the auxiliary ones. The parameter features are extracted from different faults by digital signal processing, and the study accurately monitors nine typical operating conditions of the faults. Importantly, the method enormously reduces the impact on the sensors in the down hole, and the test data show that the method has the advantages of low cost and high efficiency.

Keywords

• Electric submersible pumps (ESP)
• electrical parameters
• production parameters
• fault diagnosis
• feature extraction