FUZZY MODELING TO DEFINE CORROSIVITY POTENTIAL IN OIL PIPELINES
Item
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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FUZZY MODELING TO DEFINE CORROSIVITY POTENTIAL IN OIL PIPELINES
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Descrição
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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.
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Abstract
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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.
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2021
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Palavra-chave
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Pipeline
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Oil
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Corrosion
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Fuzzy Logic
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Autores
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Ivair Rafael Costa do Santos
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Manoel Henrique Reis Nascimento
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David Barbosa de Alencar
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Manoel S. Santos Azevedo
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Antonio Estanislau Sanches
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Local
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ITEGAM - MANAUS, 2022
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Áreas de Conhecimento
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Otimização de Processos Industriais
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Turma
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TURMA 02
