{"title":"压裂效果模糊综合评价新方法","authors":"L. Tiejun, Tang Zhihao, Guo Dali, Ke Xijun","doi":"10.1109/ICCIS.2012.28","DOIUrl":null,"url":null,"abstract":"This paper studied fuzzy comprehensive evaluation for fracturing in depth and pointed out the drawbacks of Max-product Composition. And then, based on Einstein operator, this paper established the model of fuzzy comprehensive evaluation for fracturing effect which can be used to analyze and optimize various parameters such as fracture length, conductivity, height, etc.. Finally, it is proved that this model is practical and effective in real applications.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Method of Fuzzy Comprehensive Evaluation for Fracturing Effect\",\"authors\":\"L. Tiejun, Tang Zhihao, Guo Dali, Ke Xijun\",\"doi\":\"10.1109/ICCIS.2012.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studied fuzzy comprehensive evaluation for fracturing in depth and pointed out the drawbacks of Max-product Composition. And then, based on Einstein operator, this paper established the model of fuzzy comprehensive evaluation for fracturing effect which can be used to analyze and optimize various parameters such as fracture length, conductivity, height, etc.. Finally, it is proved that this model is practical and effective in real applications.\",\"PeriodicalId\":269967,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2012.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Method of Fuzzy Comprehensive Evaluation for Fracturing Effect
This paper studied fuzzy comprehensive evaluation for fracturing in depth and pointed out the drawbacks of Max-product Composition. And then, based on Einstein operator, this paper established the model of fuzzy comprehensive evaluation for fracturing effect which can be used to analyze and optimize various parameters such as fracture length, conductivity, height, etc.. Finally, it is proved that this model is practical and effective in real applications.
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