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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorPetrobras SA-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorBittencourt Morais, Carlos Henrique-
Autor(es): dc.creatorMoura, Fernanda Marques de-
Autor(es): dc.creatorAbrahao, Elcio-
Autor(es): dc.creatorMaturana, Marcos Coelho-
Autor(es): dc.creatorMartins, Marcelo Ramos-
Autor(es): dc.creatorBarros, Leonardo Oliveira de-
Autor(es): dc.creatorCapelari Orlowski, Rene Thiago-
Autor(es): dc.creatorDebiaso Rossi, Andre Luis-
Autor(es): dc.creatorSchleder, Adriana Miralles-
Autor(es): dc.creatorAMER SOC MECHANICAL ENGINEERS-
Data de aceite: dc.date.accessioned2025-08-21T18:37:29Z-
Data de disponibilização: dc.date.available2025-08-21T18:37:29Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/301406-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/301406-
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.descriptionUniv Sao Paulo, Naval Architecture & Ocean Engn Dept, Anal Evaluat & Risk Management Lab LabRisco, Sao Paulo, Brazil-
Descrição: dc.descriptionPetrobras SA, Ctr Res & Dev, CENPES, Rio De Janeiro, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Unesp, Inst Sci & Engn ICE, Evaluat & Risk Management Lab LabRisco, Campus Itapeva Anal, Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Unesp, Inst Sci & Engn ICE, Evaluat & Risk Management Lab LabRisco, Campus Itapeva Anal, Sao Paulo, Brazil-
Descrição: dc.descriptionCNPq: 308712/2019-6-
Descrição: dc.description: 5900.0112823.19.9-
Formato: dc.format8-
Idioma: dc.languageen-
Publicador: dc.publisherAmer Soc Mechanical Engineers-
Relação: dc.relationProceedings Of Asme 2022 41st International Conference On Ocean, Offshore & Arctic Engineering, Omae2022, Vol 2-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectRisk Based Inspection (RBI)-
Palavras-chave: dc.subjectMulticriteria Objective Function-
Palavras-chave: dc.subjectGenetic Algorithms-
Palavras-chave: dc.subjectNon-Dominated Sorting Genetic Algorithm II (NSGA-II)-
Palavras-chave: dc.subjectOil and Gas-
Palavras-chave: dc.subjectOffshore-
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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