Fuzzy modeling to define corrosivity potential in oil pipelines

Ivair Rafael Costa do Santos, M. Nascimento, David B. Alencar, Manoel S. Santos Azevedo, Antônio Estanislau Sanches
{"title":"Fuzzy modeling to define corrosivity potential in oil pipelines","authors":"Ivair Rafael Costa do Santos, M. Nascimento, David B. Alencar, Manoel S. Santos Azevedo, Antônio Estanislau Sanches","doi":"10.31686/ijier.vol11.iss1.4063","DOIUrl":null,"url":null,"abstract":"In this work, a Fuzzy logic model was developed using the Fuzzy Logic Toolbox™ of the MATLAB® software, for monitoring the corrosivity potential in oil pipelines whose corrosion mechanism is predominantly by microbiological action. With the use of operational parameters, the model presents itself as an alternative to conventional monitoring methods, allowing to infer the corrosion rate in the pipeline, and therefore, the corrosivity potential. The model was applied to an oil pipeline and its results were compared with conventional monitoring methods. The analysis of the results concluded that the model can be used as a monitoring method for pipelines with those predominant corrosion mechanisms, helping to manage the integrity of oil pipelines.","PeriodicalId":13726,"journal":{"name":"International journal for innovation education and research","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal for innovation education and research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31686/ijier.vol11.iss1.4063","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

In this work, a Fuzzy logic model was developed using the Fuzzy Logic Toolbox™ of the MATLAB® software, for monitoring the corrosivity potential in oil pipelines whose corrosion mechanism is predominantly by microbiological action. With the use of operational parameters, the model presents itself as an alternative to conventional monitoring methods, allowing to infer the corrosion rate in the pipeline, and therefore, the corrosivity potential. The model was applied to an oil pipeline and its results were compared with conventional monitoring methods. The analysis of the results concluded that the model can be used as a monitoring method for pipelines with those predominant corrosion mechanisms, helping to manage the integrity of oil pipelines.
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
输油管道腐蚀电位的模糊建模
在这项工作中,利用MATLAB®软件的模糊逻辑工具箱™开发了一个模糊逻辑模型,用于监测腐蚀机制主要是由微生物作用的石油管道的腐蚀电位。通过使用操作参数,该模型可以作为常规监测方法的替代方案,可以推断管道中的腐蚀速率,从而推断腐蚀电位。将该模型应用于某输油管道,并与常规监测方法进行了比较。分析结果表明,该模型可作为主要腐蚀机制管道的监测方法,有助于石油管道的完整性管理。
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
Transformative learning in formal schools The Effect of learning resources on enrollment for higher education and career advancement in Kenya Investigating The Central Tendency Effect Among Raters in Complex Problem-Solving Skills in Physics Essay Items: An Application of Many-Facet Rasch Measurement The Influence of Principals’ Mentorship Practices on Students’ Retention in Public-Day Secondary Schools in Nakuru County-Kenya Influence of Peer Counselling Strategies on Gender-based Violence among Students in Selected Private Tertiary Institutions in Thika Sub-county, Kiambu County, Kenya
×
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