Erosion Resistant Sand Screen: Development and Deployment

Antonio Lazo, Jeremy Davis, J. Weirich
{"title":"Erosion Resistant Sand Screen: Development and Deployment","authors":"Antonio Lazo, Jeremy Davis, J. Weirich","doi":"10.2118/210128-ms","DOIUrl":null,"url":null,"abstract":"\n A design optimized coated sand screen was developed that increases the erosion resistance of conventional sand screens. Computational fluid dynamics and laboratory testing were conducted to determine the design optimizations and a coating was developed through rigorous testing. The screen has now been deployed and adopted with success.","PeriodicalId":113697,"journal":{"name":"Day 2 Tue, October 04, 2022","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, October 04, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/210128-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A design optimized coated sand screen was developed that increases the erosion resistance of conventional sand screens. Computational fluid dynamics and laboratory testing were conducted to determine the design optimizations and a coating was developed through rigorous testing. The screen has now been deployed and adopted with success.
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
抗侵蚀防砂筛管的开发与应用
开发了一种优化设计的涂层防砂筛管,提高了常规防砂筛管的抗侵蚀能力。通过计算流体动力学和实验室测试来确定设计优化,并通过严格的测试开发出一种涂层。该屏幕现已成功部署和采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Economic Yardsticks for the End of Economic Life: Holdback and Its Adjuncts Gas Transport Modeling in Organic-Rich Shales with Nonequilibrium Sorption Kinetics Team Coaching in Oil and Gas Fluid-Pipe Interaction in Horizontal Gas-Liquid Flow A Robust Workflow for Optimizing Drilling/Completion/Frac Design Using Machine Learning and Artificial Intelligence
×
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