Avaliação da confiabilidade em tubos de revestimento de poços de petróleo

• Ano de defesa: 2014
• Autor(a) principal: Gouveia, Lucas Pereira de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Alagoas; Brasil; Programa de Pós-Graduação em Engenharia Civil; UFAL
• Palavras-chave em Português: Tubos de revestimentos; Poços de petróleo; Estruturas (Confiabilidade); Falhas estruturais - Probabilidades; Confiabilidade (Engenharia) – Métodos estatísticos; Casing tubes; Oil Wells; Structures (Reliability); Structural Failures – Probabilities; Reliability (Engineering) - Statistical methods; CNPQ::ENGENHARIAS::ENGENHARIA CIVIL
• Link de acesso: http://www.repositorio.ufal.br/handle/riufal/3505

This work aims to evaluate the reliability levels associated to a probabilistic approach of mechanical strength models of casing tubes on oil and gas wells. A comparative study between different reliability evaluation methods commonly applied is also carried out. On the oil and gas well design, casing tubes must bear the mechanical loadings in the subsurface, such as the ones from formations, from drilling and completion fluids, from production fluid over the well lifetime, from the self-weight of casing column and from weight of other components. Reliability-based analysis applied to a structural design allows the assessment of the probability of violation for a given limit state of the structure, so that it can be predicted with adequate value since the design stage. This kind of analysis is useful to obtain adequate safety levels in design and to discuss the quality control level in the manufacturer production process. In this work, the failure probability is evaluated by the following reliability methods: failure domain numericintegration,MonteCarlosimulationandthetransformationmethods:FirstOrder eliabilityMethod(FORM)andSecondOrderReliabilityMethod(SORM).Thelimitstatesv rified are established by using casing strength models found in the literature, based on mechanics of materials theory and rupture test data.Statistical data are based on technical reports from casing manufacturers found in open-access literature. The achieved results contributes to well casing structural assessment taking into account the influence of design uncertainties, motivating the adoption of reliability-based analysis in decision-making process on OCTG design.