采用模糊优化模型选择压裂层

Kaoping Song, Jicheng Zhang, Erlong Yang
{"title":"采用模糊优化模型选择压裂层","authors":"Kaoping Song, Jicheng Zhang, Erlong Yang","doi":"10.1109/FUZZ.2003.1209392","DOIUrl":null,"url":null,"abstract":"Fracturing is an effective way to enhance oil recovery and widely used in the oil field. A good fracturing result relies on proper selection of target well and target layer. Traditionally, the method to selecting target wells and target layers is always done artificially and imprecisely. As a result, fracturing does not perform as well as it can. This paper proposes a fuzzy method of optimizing the selection of target wells and target layers for fracturing. This study successfully applies the fuzzy theory to the job to fracturing. It is an important technique of fracturing.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fuzzy optimization model to select the fracturing layers\",\"authors\":\"Kaoping Song, Jicheng Zhang, Erlong Yang\",\"doi\":\"10.1109/FUZZ.2003.1209392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fracturing is an effective way to enhance oil recovery and widely used in the oil field. A good fracturing result relies on proper selection of target well and target layer. Traditionally, the method to selecting target wells and target layers is always done artificially and imprecisely. As a result, fracturing does not perform as well as it can. This paper proposes a fuzzy method of optimizing the selection of target wells and target layers for fracturing. This study successfully applies the fuzzy theory to the job to fracturing. It is an important technique of fracturing.\",\"PeriodicalId\":212172,\"journal\":{\"name\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZ.2003.1209392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ.2003.1209392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

压裂是提高采收率的有效手段,在油田中得到了广泛的应用。良好的压裂效果取决于目标井和目标层的选择。传统的目标井和目标层的选择方法往往是人工的、不精确的。因此,压裂并没有发挥其应有的效果。提出了一种模糊优选压裂靶井和靶层的方法。本研究成功地将模糊理论应用到压裂作业中。它是一项重要的压裂技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A fuzzy optimization model to select the fracturing layers
Fracturing is an effective way to enhance oil recovery and widely used in the oil field. A good fracturing result relies on proper selection of target well and target layer. Traditionally, the method to selecting target wells and target layers is always done artificially and imprecisely. As a result, fracturing does not perform as well as it can. This paper proposes a fuzzy method of optimizing the selection of target wells and target layers for fracturing. This study successfully applies the fuzzy theory to the job to fracturing. It is an important technique of fracturing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fuzzy flow-shop scheduling models based on credibility measure Morphological perceptrons with dendritic structure A validation procedure for fuzzy multiattribute decision making Context dependent information aggregation Traffic engineering with MPLS using fuzzy logic for application in IP networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1