LEITE, Jandecy Cabral2025-02-032023SANTOS, Ivair Rafael Costa do; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; AZEVEDO, Manoel S. Santos; SANCHES, Antônio Estanislau. Fuzzy modeling to define corrosivity potential in oil pipelines. International Journal for Innovation Education and Research, v. 11, n. 1, p. 129-146, jan. 2023. DOI: 10.31686/ijier.vol11.iss1.4063.https://rigalileo.itegam.org.br/handle/123456789/365In this work, a Fuzzy logic model was developed using the Fuzzy Logic Toolbox™ of the MATLAB® software to monitor the corrosivity potential in oil pipelines, where corrosion mechanisms are predominantly microbiological. Using operational parameters, the model presents itself as an alternative to conventional monitoring methods, allowing the estimation of corrosion rates and, therefore, the corrosivity potential. The model was applied to an oil pipeline, and its results were compared with conventional monitoring methods. The analysis concluded that the model can be effectively used as a monitoring method for pipelines with predominant microbiological corrosion, supporting the integrity management of oil pipelines.PDF.OleodutoPetróleoCorrosãoIntegridade EstruturalLógica FuzzyFuzzy Modeling to Define Corrosivity Potential in Oil PipelinesArtigoEngenharias - Engenharia de Materiais e Metalúrgica