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[1]
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Energy Consumption Prediction and Optimization of the Electrical Submersible Pump Well System Based on the DA-RNN Algorithm
Processes,
2025
DOI:10.3390/pr13010128
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[2]
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Deep Learning-Based Performance Prediction of Electric Submersible Pumps Under Viscous and Gas–Liquid Flow Conditions
Machines,
2025
DOI:10.3390/machines13020135
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[3]
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Developing an ESP Lifespan Predictive Model Using Artificial Intelligence: A Case Study On an Omani Oilfield
SPE Conference at Oman Petroleum & Energy Show,
2024
DOI:10.2118/218601-MS
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[4]
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Developing an ESP Lifespan Predictive Model Using Artificial Intelligence: A Case Study On an Omani Oilfield
Day 3 Wed, April 24, 2024,
2024
DOI:10.2118/218601-MS
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[5]
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Developing an ESP Lifespan Predictive Model Using Artificial Intelligence: A Case Study On an Omani Oilfield
Day 3 Wed, April 24, 2024,
2024
DOI:10.2118/218601-MS
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[6]
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Energy Consumption Prediction and Optimization of Electrical Submersible Pump Well System Based on DA-RNN Algorithm
SPE Symposium and Exhibition - Production Enhancement and Cost Optimisation,
2024
DOI:10.2118/220625-MS
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[7]
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ESP Wells Dynamic Survival Analysis and Lifespan Prediction Using Machine Learning Algorithms
SPE Annual Technical Conference and Exhibition,
2024
DOI:10.2118/221041-MS
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[8]
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Induction Motor Fault Diagnosis Using Support Vector Machine, Neural Networks, and Boosting Methods
Sensors,
2023
DOI:10.3390/s23052585
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[9]
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Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries
Advances in Systems Analysis, Software Engineering, and High Performance Computing,
2023
DOI:10.4018/978-1-6684-8785-3.ch003
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[10]
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Characterization and performance enhancement of electrical submersible pump (ESP) using artificial intelligence (AI)
Materials Today: Proceedings,
2022
DOI:10.1016/j.matpr.2022.05.101
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[11]
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Thermal Model of a Submersible Water Pump
2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME),
2021
DOI:10.1109/SIITME53254.2021.9663639
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