层次分析法
持续性
提高采收率
碳足迹
石油工程
油田
环境科学
化石燃料
计算机科学
工程类
运筹学
地质学
废物管理
温室气体
生态学
海洋学
生物
作者
Yue Yao,Deqiang Sun,Jin-Hua Xu,Bin Wang,Guohong Peng,Bingmei Sun
出处
期刊:Energy
[Elsevier]
日期:2023-05-29
卷期号:278: 127962-127962
被引量:12
标识
DOI:10.1016/j.energy.2023.127962
摘要
Enhanced oil recovery (EOR) methods in mature oil fields play an irreplaceable role in supporting the long-term and stable production of crude oil. This study establishes a unified and comparable evaluation index system based on geology, technology and sustainability, re-evaluates the existing EOR projects focused on heavy oil extraction by utilizing hybrid AHP-CRITIC-FCE models, and selects the most efficient, economic, and low-carbon footprint EOR technologies to facilitate the development of mature Chinese heavy oil fields. Three main criteria and nineteen subcriteria are considered in the multi-criteria decision-making system. The weights given to criteria are determined by combining the subjective AHP and objective CRITIC methods. The fuzzy comprehensive evaluation method is adopted to prioritize the performance of the EOR process. Empirical analysis is conducted on seven typical heavy oil technologies. The study finds that geological factors account for the largest proportion, and the top five indicators in terms of weight are buried depth, recovery factor, viscosity, operating cost per tonne of oil and reservoir thickness. Three technologies are recommended for potential future green footprint heavy oil EOR methods. This study combines both expert judgment and field data appraisal to help decision makers better plan the future strategic layout of EOR technology.
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