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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks

Electric Submersible Pumps (ESPs) are one of the important artificial lift methods for sustaining production in mature and high-water-cut wells; but may suffer frequent failures due to mechanical, electrical, hydraulic, chemical, and operational failures. These failures can yield substantial deferre...

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Main Author: Sobhy, Mostafa Ahmed
Format: Thesis
Published: AUC Knowledge Fountain 2025
Subjects:
ESP
Oil Production
Machine Learning
Deep Learning
Failure
Models
Run life
Failure Type
Western Desert Oilfields
Computational Engineering
Geological Engineering
Operational Research
Other Computer Engineering
Other Engineering Science and Materials
Petroleum Engineering
Power and Energy
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https://fount.aucegypt.edu/etds/2605
https://fount.aucegypt.edu/context/etds/article/3662/viewcontent/Detecting_Electrical_Submersible_Pump__ESP__Failures_and_Estimating_Run_Life_Using_Artificial_Neural_Networks.pdf

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