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Research on operation optimization of water injection pumping stations based on NSGA-Ⅲ and combined weighting decision
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Liang ZHAO, Yan WANG, Yongqi LI, Mengwen AN, Qingfeng CHEN, Guang YANG
Fluid Machinery | 2025, 53(12) : 94 - 101
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Fluid Machinery | 2025, 53(12): 94-101
Research on operation optimization of water injection pumping stations based on NSGA-Ⅲ and combined weighting decision
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Liang ZHAO, Yan WANG, Yongqi LI, Mengwen AN, Qingfeng CHEN, Guang YANG
Affiliations
  • School of Mechanical Science and Engineering,Northeast Petroleum University,Daqing 163000,China
Published: 2025-12-31 doi: 10.3969/j.issn.1005-0329.2025.12.011
Outline
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Aiming at the problems of low operating efficiency and excessive energy consumption of pumping stations in the oilfield water injection system,taking the oilfield water injection pumping station as the research object,a multi‑objective operation optimization model was constructed with the minimum electricity cost,the maximum average efficiency,the minimum flow deviation degree,and the minimum start‑stop frequency of the pumping station.The third‑generation non‑dominated sorting genetic algorithm (NSGA-Ⅲ) was adopted to solve it for operation optimization.Then,the analytic hierarchy process (AHP) and the weight assignment method based on the correlation between indicators (CRITIC) were combined to assign weights to it.Meanwhile,the near‑ideal solution ranking method (TOPSIS) was introduced to optimize the scheme,achieving comprehensive decision‑making for multi‑objective optimization.The comparative analysis with the original operation scheme of the oilfield water injection pumping station shows that the optimized scheme has achieved remarkable results.The average efficiency of the water pump has increased from 66.99% to 70.31%,the improvement rate reaches 4.96%.The traffic deviation has decreased from 17.32% before optimization to 13.71%,a reduction of 20.8%.Meanwhile,the start‑stop frequency of the water pump has decreased from the original 0.500 to 0.314,a decrease of up to 37.2%.The daily electricity cost has decreased from 22 528 yuan to 20 116 yuan,a decrease of 10.71%.The research can provide a basis for the scientific operation and management of oilfield water injection pump stations.

water injection pumping station  /  NSGA-Ⅲ  /  CRITIC  /  TOPSIS  /  multi‑objective optimization
赵亮, 王妍, 李永琪, 安梦雯, 陈庆丰, 杨光. 基于NSGA-Ⅲ与组合赋权决策的注水泵站运行优化研究. 流体机械, 2025 , 53 (12) : 94 -101 . DOI: 10.3969/j.issn.1005-0329.2025.12.011
Liang ZHAO, Yan WANG, Yongqi LI, Mengwen AN, Qingfeng CHEN, Guang YANG. Research on operation optimization of water injection pumping stations based on NSGA-Ⅲ and combined weighting decision[J]. Fluid Machinery, 2025 , 53 (12) : 94 -101 . DOI: 10.3969/j.issn.1005-0329.2025.12.011
Year 2025 volume 53 Issue 12
78
27
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doi: 10.3969/j.issn.1005-0329.2025.12.011
  • Receive Date:2025-04-21
  • Online Date:2026-10-22
  • Published:2025-12-31
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  • Received:2025-04-21
  • Revised:2025-10-25
Affiliations
    School of Mechanical Science and Engineering,Northeast Petroleum University,Daqing 163000,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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