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Alternative TitleEvaluation of Thermal Recovery Development Effect of Heavy Oil Based on Interval Number Entropy TOPSIS
张立婷; 李世超; 郑东梁; 石硕; 曾鹏
Source Publication西安石油大学学报(自然科学版)
Volume35Issue:2Pages:66-70, 126
Contribution Rank1
Funding Organization国家自然科学基金青年基金( 61803368)
Keyword开发效果综合评价 热采稠油 熵值赋权法 区间数 TOPSIS法


Other Abstract

In order to understand the development law of thermal recovery heavy oil reservoir and further improve the development effect of it, t is necessary to establish a systematic and reasonable comprehensive evaluation method for the development effect of thermal recovery heavy oil reservoir. In this paper, the interval number theory, entropy weighting method and TOPSIS method are combined to propose a comprehensive evaluation method for the development effect of thermal recovery heavy oil reservoir based on the interval number Entropy TOPSIS, and an evaluation index system for the development effect of thermal recovery heavy oil reservoir is established. First, the interval number TOPSIS decision matrix of evaluation object is established according to the evaluation index system standard and the historical data of oil field. Second, the index weight set is determined by interval number entropy weighting method. Third, the positive ideal solution and negative ideal solution are determined according to the relevant algorithm, and the relative closeness degree between the block to be evaluated and the positive ideal solution is calculated. Finally, the evaluation result is given according to the level interval. Taking Jin 91 block of Liaohe Oilfield as an example, the steam huff-puff development effect of this heavy oil block are comprehensively evaluated, and good application effect is achieved.

Document Type期刊论文
Corresponding Author张立婷
Recommended Citation
GB/T 7714
张立婷,李世超,郑东梁,等. 基于区间数熵值TOPSIS的热采稠油开发效果评价[J]. 西安石油大学学报(自然科学版),2020,35(2):66-70, 126.
APA 张立婷,李世超,郑东梁,石硕,&曾鹏.(2020).基于区间数熵值TOPSIS的热采稠油开发效果评价.西安石油大学学报(自然科学版),35(2),66-70, 126.
MLA 张立婷,et al."基于区间数熵值TOPSIS的热采稠油开发效果评价".西安石油大学学报(自然科学版) 35.2(2020):66-70, 126.
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