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Research Progress and Prospects of Multi-Stage Centrifugal Pump Capability for Handling Gas–Liquid Multiphase Flow: Comparison and Empirical Model Validation

Author

Listed:
  • Asad Ali

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Jianping Yuan

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Fanjie Deng

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Biaobiao Wang

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Liangliang Liu

    (Shanghai Kaiquan Pump Co., Ltd., Cao’an Road, Jiading, Shanghai 201800, China)

  • Qiaorui Si

    (National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China)

  • Noman Ali Buttar

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The working capability of multi-stage pumps, such as electrical submersible pumps (ESPs) handling multiphase flow, has always been a big challenge for petroleum industries. The major problem is associated with the agglomeration of gas bubbles inside ESP-impellers, causing pump performance degradation ranging from mild to severe deterioration (surging/gas pockets). Previous literature showed that the two-phase performance of ESPs is greatly affected by gas involvement, rotational speed, bubble size, and fluid viscosity. Thus, it is necessary to understand which parameter is actually accountable for performance degradation and different flow patterns in ESP, and how it can be controlled. The present study is mainly focused on (1) the main parameters that impede two-phase performance of different ESPs; (2) comparison of existing empirical models (established for two-phase performance prediction and surging initiation) with our single-stage centrifugal pump results to determine their validity and working-range; (3) gas-handling techniques applied to enhance the multiphase performance of ESPs. Firstly, it aims at understanding the internal flow mechanism in different ESP designs, followed by test studies based on empirical models, visualization techniques, bubble-size measurements, and viscosity analysis. The CFD-based (computational fluid dynamics) numerical analysis concerning multiphase flow is described as well. Furthermore, gas-handling design methods are discussed that are helpful in developing the petroleum industry by enhancing the multiphase performance of ESPs.

Suggested Citation

  • Asad Ali & Jianping Yuan & Fanjie Deng & Biaobiao Wang & Liangliang Liu & Qiaorui Si & Noman Ali Buttar, 2021. "Research Progress and Prospects of Multi-Stage Centrifugal Pump Capability for Handling Gas–Liquid Multiphase Flow: Comparison and Empirical Model Validation," Energies, MDPI, vol. 14(4), pages 1-34, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:896-:d:496247
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    References listed on IDEAS

    as
    1. Qifeng Jiang & Yaguang Heng & Xiaobing Liu & Weibin Zhang & Gérard Bois & Qiaorui Si, 2019. "A Review of Design Considerations of Centrifugal Pump Capability for Handling Inlet Gas-Liquid Two-Phase Flows," Energies, MDPI, vol. 12(6), pages 1-18, March.
    2. Qiaorui Si & Haoyang Zhang & Gérard Bois & Jinfeng Zhang & Qianglei Cui & Shouqi Yuan, 2019. "Experimental Investigations on the Inner Flow Behavior of Centrifugal Pumps under Inlet Air-Water Two-Phase Conditions," Energies, MDPI, vol. 12(22), pages 1-14, November.
    3. Jianjun Zhu & Hong-Quan Zhang, 2018. "A Review of Experiments and Modeling of Gas-Liquid Flow in Electrical Submersible Pumps," Energies, MDPI, vol. 11(1), pages 1-41, January.
    4. Qiaorui Si & Gérard Bois & Qifeng Jiang & Wenting He & Asad Ali & Shouqi Yuan, 2018. "Investigation on the Handling Ability of Centrifugal Pumps under Air–Water Two-Phase Inflow: Model and Experimental Validation," Energies, MDPI, vol. 11(11), pages 1-17, November.
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    Cited by:

    1. Mehrdad Massoudi, 2021. "Mathematical Modeling of Fluid Flow and Heat Transfer in Petroleum Industries and Geothermal Applications 2020," Energies, MDPI, vol. 14(16), pages 1-4, August.
    2. Xiaoke He & Yu Song & Kaipeng Wu & Asad Ali & Chunhao Shen & Qiaorui Si, 2022. "Intelligent Identification of Cavitation State of Centrifugal Pump Based on Support Vector Machine," Energies, MDPI, vol. 15(23), pages 1-17, November.

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