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Volume 13
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10.3390/pr13103156
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Article

Research on Optimization Method of Operating Parameters for Electric Submersible Pumps Based on Multiphase Flow Fitting

by
Mingchun Wang
1,
Xinrui Zhang
1,*,
Yuchen Ji
1,
Yupei Liu
1,
Tianhao Wang
1,
Zixiao Xing
1,
Guoqing Han
2 and
Yinmingze Sun
2
1
CNOOC Research Institute, Beijing 100028, China
2
College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(10), 3156; https://doi.org/10.3390/pr13103156
Submission received: 30 July 2025 / Revised: 12 September 2025 / Accepted: 30 September 2025 / Published: 2 October 2025
(This article belongs to the Section Energy Systems)
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Abstract

Electric submersible pumps (ESPs) are among the most widely used artificial lifting systems, and their operational stability is crucial to the production capacity and lifespan of oil wells. However, during the operation of ESP systems, they often face complex flow issues such as gas lock and insufficient liquid carry. Traditional control strategies relying on liquid level monitoring and electrical parameter alarms exhibit obvious latency, making it difficult to effectively guide the adjustments of key operating parameters such as pump frequency, valve opening, and on/off strategies. To monitor the flow state of ESP systems and optimize it in a timely manner, this paper proposes an innovative profile recognition method based on multiphase flow fitting in the wellbore, aimed at reconstructing the flow state at the pump’s intake. This method identifies flow abnormalities and, in conjunction with flow characteristics, designs targeted operating parameter optimization logic to enhance the stability and efficiency of ESP systems. Research shows that this optimization method can significantly improve the pump’s operational performance, reduce failure rates, and extend equipment lifespan, thus providing an effective solution for optimizing production in electric pump wells. Additionally, this method holds significant importance for enhancing oil well production efficiency and economic benefits, providing a scientific theoretical foundation and practical guidance for future oil and gas exploration and management.
Keywords: ESP system; multiphase flow fitting; flow state recognition; operating parameter optimization; production efficiency ESP system; multiphase flow fitting; flow state recognition; operating parameter optimization; production efficiency

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MDPI and ACS Style

Wang, M.; Zhang, X.; Ji, Y.; Liu, Y.; Wang, T.; Xing, Z.; Han, G.; Sun, Y. Research on Optimization Method of Operating Parameters for Electric Submersible Pumps Based on Multiphase Flow Fitting. Processes 2025, 13, 3156. https://doi.org/10.3390/pr13103156

AMA Style

Wang M, Zhang X, Ji Y, Liu Y, Wang T, Xing Z, Han G, Sun Y. Research on Optimization Method of Operating Parameters for Electric Submersible Pumps Based on Multiphase Flow Fitting. Processes. 2025; 13(10):3156. https://doi.org/10.3390/pr13103156

Chicago/Turabian Style

Wang, Mingchun, Xinrui Zhang, Yuchen Ji, Yupei Liu, Tianhao Wang, Zixiao Xing, Guoqing Han, and Yinmingze Sun. 2025. "Research on Optimization Method of Operating Parameters for Electric Submersible Pumps Based on Multiphase Flow Fitting" Processes 13, no. 10: 3156. https://doi.org/10.3390/pr13103156

APA Style

Wang, M., Zhang, X., Ji, Y., Liu, Y., Wang, T., Xing, Z., Han, G., & Sun, Y. (2025). Research on Optimization Method of Operating Parameters for Electric Submersible Pumps Based on Multiphase Flow Fitting. Processes, 13(10), 3156. https://doi.org/10.3390/pr13103156

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