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综合权重地下储气库方案优选模型研究
引用本文:乔伟彪,陈保东,李朝阳.综合权重地下储气库方案优选模型研究[J].北京石油化工学院学报,2014(4):29-35.
作者姓名:乔伟彪  陈保东  李朝阳
作者单位:中国石油大学 华东 储运与建筑工程学院,山东青岛266580;辽宁石油化工大学石油天然气工程学院,辽宁抚顺113001;辽宁石油化工大学石油天然气工程学院,辽宁抚顺,113001;中国石油集团工程设计有限责任公司西南分公司,四川成都,610041
摘    要:提出了一种基于综合权重和灰色关联分析的储气库方案优选模型,并将所建立模型与 AHP (层次分析法)-灰关联分析模型、改进的AHP(层次分析法)-灰关联分析模型、信息熵-灰关联分析模型进行对比分析。结果表明:所建立的模型既考虑主观影响,又考虑客观影响,计算结果与实际吻合较好,具有较好的实用性。

关 键 词:储气库方案  改进的AHP  信息熵  综合权重  灰色关联分析  优选研究

A Study on Scheme Optimization of Underground Gas Storage Considering a Comprehensive Weight
QIAO Wei-biao,C HEN Bao-dong,LI Zhao-yang.A Study on Scheme Optimization of Underground Gas Storage Considering a Comprehensive Weight[J].Journal of Beijing Institute of Petro-Chemical Technology,2014(4):29-35.
Authors:QIAO Wei-biao  C HEN Bao-dong  LI Zhao-yang
Affiliation:QIAO Wei-biao;CHEN Bao-dong;LI Zhao-yang;College of Pipeline and Civil Engineering,China Petroleum University;College of Oil and Gas Engineering,LiaoNing Shihua University;China Petroleum Engineering Co.,Ltd.Southwest Company;
Abstract:The main functions of the underground gas storages are seasonal peak‐shaving and strategic reserves .There are many factors to be considered in the process of designing the under‐ground gas storage .How to choose the best design project has become the hotspot among many scholars domestic and overseas .In this paper ,we present the optimally selected model of the gas storage project based on the synthetic weight and grey correction analysis .At last ,we make a comparative analysis between the model established in this paper ,AHP (Analytical Hierarchy Process)‐grey correction analysis model ,improved AHP (Analytical Hierarchy Process )‐grey correction analysis model and the information entropy‐grey correction analysis model .The result shows that the model established in this paper concerns both the subjective influence and objective influence ,and has a good utility ,whose calculation results match the actual needs very well .
Keywords:gas storage scheme  improved AHP  entropy  combination weighting  grey relation analysis  optimization study
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