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用于筛选提高采收率技术的模糊数学模型 被引量:3

DEVELOPMENT OF FUZZY SETS MODEL FOR SELECTING THE METHOD OF ENHANCED OIL RECOVERY
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摘要 针对各种提高采收率技术的优缺点和应用范围,开发出了模糊数学模型(EMC) ,以便于对提高采收率技术进行筛选。为验证模型的正确性,利用文献中的一些油藏数据和生产情况对模型的应用效果进行了检验。结果表明,该模型的输出结果和油藏工程专家的选择结果基本一致。该模型具有很强的可调性,在其程序中预先设置了接口。 The widely used enhanced oil recovery (EOR) methods were briefly introduced, and then a fuzzy sets model (EMC) was developed to select a suitable EOR method for a certain reservoir. This model can help petroleum engineers to determine the most practicable and profitable EOR method. Some computations were made to test the reliability of this model. The results show that the output of EMC agrees well with the selections of human experts. This model is highly adjustable and easy to update, and input channels are preset in the program for adding some new EOR methods.
出处 《石油大学学报(自然科学版)》 CSCD 1999年第5期42-44,共3页 Journal of the University of Petroleum,China(Edition of Natural Science)
基金 国家重点科技攻关项目
关键词 提高采收率 筛选 模糊数学 数学模型 石油开采 enhanced oil recovery technique selection tertiary recovery fuzzy mathematics mathematical model
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