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Hybrid genetic algorithm for parametric optimization of surface pipeline networks in underground natural gas storage harmonized injection and production conditions

Jun Zhou Zichen Li Shitao Liu Chengyu Li Yunxiang Zhao Zonghang Zhou Guangchuan Liang

Natural Gas Industry B2025，Vol.12Issue(2)：P.234-250,17.

Natural Gas Industry B2025，Vol.12Issue(2)：P.234-250,17.DOI:10.1016/j.ngib.2025.03.009

Hybrid genetic algorithm for parametric optimization of surface pipeline networks in underground natural gas storage harmonized injection and production conditions

Jun Zhou ¹Zichen Li ¹Shitao Liu ¹Chengyu Li ¹Yunxiang Zhao ²Zonghang Zhou ¹Guangchuan Liang¹

作者信息

1. Petroleum Engineering School,Southwest Petroleum University,Chengdu,China
2. Yunnan Provincial Energy Research Institute Co.,Ltd.,Kunming,China
折叠

摘要

关键词

Underground natural gas storage/Surface injection and production pipeline/Parameter optimization/Hybrid genetic algorithm

分类

能源科技

引用本文复制引用

Jun Zhou,Zichen Li,Shitao Liu,Chengyu Li,Yunxiang Zhao,Zonghang Zhou,Guangchuan Liang..Hybrid genetic algorithm for parametric optimization of surface pipeline networks in underground natural gas storage harmonized injection and production conditions[J].Natural Gas Industry B,2025,12(2):P.234-250,17.

基金项目

the National Natural Science Foundation of China,grant numbers 51704253 and 52474084. （）

Natural Gas Industry B

ISSN：2352-8540

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