Modelagem direta e inversa da assinatura de aquecimento em poços injetores de água em regime de estática

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Silva, Victor Costa da
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
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
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
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.