GENETIC ALGORITHMS APPLIED TO THE CONCEPT OF RISK BASED INSPECTION (RBI): OPTIMIZATION OF INSPECTION PLANS

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorCENPES - Petrobras-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorMorais, Carlos Henrique Bittencourt-
Autor(es): dc.creatorde Moura, Fernanda Marques-
Autor(es): dc.creatorAbrahão, Elcio-
Autor(es): dc.creatorMaturana, Marcos Coelho-
Autor(es): dc.creatorMartins, Marcelo Ramos-
Autor(es): dc.creatorde Barros, Leonardo Oliveira-
Autor(es): dc.creatorOrlowski, Rene Thiago Capelari-
Autor(es): dc.creatorRossi, André Luis Debiaso-
Autor(es): dc.creatorSchleder, Adriana Miralles-
Data de aceite: dc.date.accessioned2025-08-21T15:31:34Z-
Data de disponibilização: dc.date.available2025-08-21T15:31:34Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1115/OMAE2022-78612-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/247805-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/247805-
Descrição: dc.descriptionCost optimization of asset management is a central issue in the offshore Oil and Gas strategy, and risk-based approaches, such as Risk Based Inspection (RBI), have been more and more employed to assist the segment in the concretization of that goal. The inspection procedure aims mitigating the uncertainty related to the asset degradation state, enabling a better quantification of the actual damage, and, consequently, increases the accuracy of remaining life projections. Since the costs involved in offshore subsea inspections are considerable, inspection plans optimization plays a crucial role in the balance of an asset management program. The present paper discusses the use of genetic algorithms, GA, an optimization technique inspired in the concepts of evolutionary genetics, in the development of inspection plans for subsea equipment. The genes are defined in terms of two variables: the type of inspection to be done and in which period it occurs, considering a finite window of opportunities for inspection occurrences. The optimization process considers a multicriteria objective function, consisting in the dimensions time, cost, and risk. Finally, the application of the proposed methodology is illustrated by means of the elaboration of the inspection plans for a subsea Christmas-tree.-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionAnalysis Evaluation and Risk Management Laboratory (LabRisco) Naval Architecture and Ocean Engineering Department University of São Paulo-
Descrição: dc.descriptionResearch and Development Center CENPES - Petrobras-
Descrição: dc.descriptionInstitute of Science and Engineering (ICE) Sao Paulo State University (Unesp) Evaluation and Risk Management Laboratory (LabRisco), Campus of Itapeva Analysis-
Descrição: dc.descriptionInstitute of Science and Engineering (ICE) Sao Paulo State University (Unesp) Evaluation and Risk Management Laboratory (LabRisco), Campus of Itapeva Analysis-
Descrição: dc.descriptionCNPq: 308712/2019-6-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectGenetic Algorithms-
Palavras-chave: dc.subjectMulticriteria Objective Function-
Palavras-chave: dc.subjectNon-Dominated Sorting Genetic Algorithm II (NSGA-II)-
Palavras-chave: dc.subjectOffshore-
Palavras-chave: dc.subjectOil and Gas-
Palavras-chave: dc.subjectRisk Based Inspection (RBI)-
Título: dc.titleGENETIC ALGORITHMS APPLIED TO THE CONCEPT OF RISK BASED INSPECTION (RBI): OPTIMIZATION OF INSPECTION PLANS-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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