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Multi-objective Optimization of Gas Injection for Salt Cavern Storage Based on Simulated Annealing Algorithm
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Liu-wei XU1, 2, Yin-di ZHANG1, 2, *, Yu-tao LU1, 2, Zheng-qin SHENG1, 2, Xiao-bo LIANG1, 2, Zhen-zhen SONG1, 2
Science Technology and Engineering | 2025, 25(5) : 1887 - 1895
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Science Technology and Engineering | 2025, 25(5): 1887-1895
Papers·Mining and Metallurgical Engineering
Multi-objective Optimization of Gas Injection for Salt Cavern Storage Based on Simulated Annealing Algorithm
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Liu-wei XU1, 2, Yin-di ZHANG1, 2, *, Yu-tao LU1, 2, Zheng-qin SHENG1, 2, Xiao-bo LIANG1, 2, Zhen-zhen SONG1, 2
Affiliations
  • 1 School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
  • 2 State Key Laboratory of Low-carbon Catalysis and Carbon Dioxide Utilization, School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
Published: 2025-02-18 doi: 10.12404/j.issn.1671-1815.2402403
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The role of gas storage in regulating natural gas peaks is crucial. Improper allocation of gas injection schemes during the injection process not only results in excessive energy consumption by compressors, but also leads to excessive pressure changes in certain individual wells and convergence of salt karst cavities, thereby affecting the long-term stable operation of gas storage. By combining the simulated annealing algorithm with actual field conditions, a multi-objective optimization function was established considering both compressor energy consumption and dispersion degree of wellhead pressures across all gas storage wells within the same block. The variable for this optimization was set as the gas injection volume during the task period for each gas storage well, while variables such as maximum design pressure of pipelines, minimum operating pressure, and maximum operating pressure of gas storage wells were taken into account. Additionally, constraints were imposed based on the maximum design flow rate measured by target flowmeters for multi-objective optimization purposes. Results indicate that compressor power consumption can be reduced by over 40% and formation pressure differences can be decreased by more than 90%. It is evident that this scheme provides assurance for ensuring long-term stable operation of gas storage through effective guidance on actual production operations.

salt cavern gas storage  /  gas injection scheme optimization  /  simulated annealing algorithm  /  compressor energy consumption
Liu-wei XU, Yin-di ZHANG, Yu-tao LU, Zheng-qin SHENG, Xiao-bo LIANG, Zhen-zhen SONG. Multi-objective Optimization of Gas Injection for Salt Cavern Storage Based on Simulated Annealing Algorithm[J]. Science Technology and Engineering, 2025 , 25 (5) : 1887 -1895 . DOI: 10.12404/j.issn.1671-1815.2402403
Year 2025 volume 25 Issue 5
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doi: 10.12404/j.issn.1671-1815.2402403
  • Receive Date:2024-04-03
  • Online Date:2025-07-29
  • Published:2025-02-18
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  • Received:2024-04-03
  • Revised:2024-11-18
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    1 School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
    2 State Key Laboratory of Low-carbon Catalysis and Carbon Dioxide Utilization, School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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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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