Modelagem direta e inversa da assinatura de aquecimento em poços injetores de água em regime de estática
Ano de defesa: | 2019 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal do Rio de Janeiro
Brasil Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia Programa de Pós-Graduação em Engenharia Civil UFRJ |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://hdl.handle.net/11422/13556 |
Resumo: | The reservoir management process aims, among others, to act reactively or, preferably, proactively to unwanted events that impact oil production. One of the biggest difficulties in this action is the traceability of the paths percolated by the injected fluids, both near the producing wells and the injector wells. In wells equipped with Selective Completion the Permanent Downhole Gauges, through their temperature data, represent an important tool for tracking saturation modification in each evaluated section. This work aims to study the phenomenon of the heating signature in the injector wells neighborhood through synthetic and real data from Brazilian pre-salt wells. Using numerical models and optimization-inverse problem solving tools, the objective is to identify how some heating signatures may indicate the amount of fluid that is effectively injected in each zone, both changing the saturation of the well surroundings and cooling it. The simulations for estimating the region disturbed by the injected fluid from the temperature data in the wells are assessed in a static regime and are performed through numerical modeling coupled between the Hydraulic Diffusivity Equation and the Energy Balance Equation. The results of this work can provide an important tool to assist in the management of oil reservoirs, as well as helping to understand the observed phenomenon. |