Análise de modelos geológicos utilizando percolação dinâmica

• Ano de defesa: 2009
• Autor(a) principal: Oliveira, Ricardo Wanderley de
• Orientador(a): Lucena, Liacir dos Santos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência e Engenharia do Petróleo
• Departamento: Pesquisa e Desenvolvimento em Ciência e Engenharia de Petróleo
• País: BR
• Palavras-chave em Português: Percolação; Caminho crítico; Simulação de fluxo; Percolação por invasão; Backbone; Linha de fluxo; Modelos isotrópicos e Anisotrópicos
• Palavras-chave em Inglês: Percolation; Critical Path; Simulation flow; Percolation by invasion; Backbone; Line flow; Isotropic and Anisotropic models
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA::TECNOLOGIA QUIMICA::PETROLEO E PETROQUIMICA
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/12891

In the present study we elaborated algorithms by using concepts from percolation theory which analyze the connectivity conditions in geological models of petroleum reservoirs. From the petrophysical parameters such as permeability, porosity, transmittivity and others, which may be generated by any statistical process, it is possible to determine the portion of the model with more connected cells, what the interconnected wells are, and the critical path between injector and source wells. This allows to classify the reservoir according to the modeled petrophysical parameters. This also make it possible to determine the percentage of the reservoir to which each well is connected. Generally, the connected regions and the respective minima and/or maxima in the occurrence of the petrophysical parameters studied constitute a good manner to characterize a reservoir volumetrically. Therefore, the algorithms allow to optimize the positioning of wells, offering a preview of the general conditions of the given model s connectivity. The intent is not to evaluate geological models, but to show how to interpret the deposits, how their petrophysical characteristics are spatially distributed, and how the connections between the several parts of the system are resolved, showing their critical paths and backbones. The execution of these algorithms allows us to know the properties of the model s connectivity before the work on reservoir flux simulation is started