Comprehensive Insights into Electrical Submersible Pumps: Design, Challenges, and Predictive Maintenance

Electrical Submersible Pumps (ESPs) play a crucial role in artificial lift systems, particularly in high-volume fluid production. This article provides a detailed overview of ESP components, design parameters, and installation best practices. It addresses common operational challenges, including pump wear, gas locking, and scaling, and highlights effective mitigation strategies. The significance of monitoring key performance parameters, such as motor temperature, vibration, and discharge pressure, is underscored to ensure reliable operation. A special focus is placed on the integration of machine learning (ML) in predictive maintenance, leveraging techniques like Principal Component Analysis (PCA), Autoencoders, and ensemble models for early fault detection and operational optimization. Case studies demonstrate the practical application of ML algorithms, showcasing enhanced system reliability, cost reduction, and downtime minimization. The article concludes with a discussion of future trends, including digital twins, IoT, and edge computing, offering a roadmap for advancing ESP management and extending equipment lifespans.

کلیدواژه ها:

Electrical Submersible Pumps ، Design and Installation ، Monitoring Systems ، Predictive Maintenance