Prediction of Gas-Liquid Pressurization Performances of Multistage Multiphase Pumps Based on Similarity Laws and Neural Networks

CHANG Liang; YANG Chenyu; SU Xiaobin; DAI Xiaoyu; XU Qiang; GUO Liejin

doi:10.21656/1000-0887.430405

Volume 44 Issue 6

Jun. 2023

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Article Navigation > Applied Mathematics and Mechanics > 2023 > 44(6): 619-628

CHANG Liang, YANG Chenyu, SU Xiaobin, DAI Xiaoyu, XU Qiang, GUO Liejin. Prediction of Gas-Liquid Pressurization Performances of Multistage Multiphase Pumps Based on Similarity Laws and Neural Networks[J]. Applied Mathematics and Mechanics, 2023, 44(6): 619-628. doi: 10.21656/1000-0887.430405

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Prediction of Gas-Liquid Pressurization Performances of Multistage Multiphase Pumps Based on Similarity Laws and Neural Networks

doi: 10.21656/1000-0887.430405

State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R.China

Received Date: 2022-12-30
Rev Recd Date: 2023-02-20
Publish Date: 2023-06-01

Abstract

Abstract

It is very important to accurately predict the gas-liquid pressurization performance of multiphase pumps for the economy and safety of oil-gas production. Existent prediction models and methods are limited by narrow parameter ranges and low pump stages. A gas-liquid experimental platform at the industrial level was built, and the gas-liquid pressurization performances of a 25-stage centrifugal multiphase pump were obtained. A prediction method for gas-liquid pressurization performances was proposed for multiphase pumps with high stages at variable rotational speeds. Firstly, the artificial neural network of gas-liquid boosting pressure in the pump with low stages at a constant rotational speed, was constructed. Then, the boosting pressures at variable rotational speeds were converted to the designed condition by the 2-phase similarity law. Finally, based on the isothermal compression hypothesis, the inter-stage flow parameters were updated and the boosting pressures in pumps with high stages were acquired. The relative errors of prediction results of gas-liquid pressurization were less than 15% in pumps with different stage numbers (3~25 stages) and rotational speeds (2 500~3 500 r·min^-1). The proposed method can be applied to other types of multiphase pumps, to determine the stage numbers of multiphase pumps and make production evaluation in oil-gas industry.
- multiphase pump,
- gas-liquid pressurization,
- performance prediction,
- similarity law,
- neural network

(Contributed by GUO Liejin, M. AMM Editorial Board)

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References(28)

References

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