Ivair Rafael Costa do Santos, M. Nascimento, David B. Alencar, Manoel S. Santos Azevedo, Antônio Estanislau Sanches
{"title":"输油管道腐蚀电位的模糊建模","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":"{\"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}","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}
Fuzzy modeling to define corrosivity potential in oil pipelines
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.