Estudos das pressões de um poço do campo rio Urucu através da simulação numérica utilizando os modelos black oil e composicional disponíveis no MRST

• Autor(a) principal: Cunha Júnior, Jean Lima da
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFAM
• Texto Completo: http://riu.ufam.edu.br/handle/prefix/6452
• topic: Modelagem e Simulação Numérica; Modelo black-oil; Modelo composicional; MRST; CIENCIAS EXATAS E DA TERRA; ENGENHARIAS; Engenharia mecânica

The present study aims to characterize and evaluate the behavior of hydrocarbon wells produced in a Solimões basin in a modeling and numerical simulation process comparing the compositional models and black oil available in the MRST software. Numerical simulation has a fundamental role associated with decision making for the exploitation of an oil field, which is always requiring solutions to a series of problems related to drilling, its recovery method and mainly the prediction of the flow behavior within the oil field. reservoir. Reservoir modeling has the goal of always obtaining the best performances, which is of paramount importance for the oil industry and especially for the upstream follow-up about oil exploration and production processes. In this context, the work studies the influences of the compositional model and black oil on gas injection through an analysis of parameters such as pressure, permeability, and reservoir flow. The MRST simulator was used for the study from a homogeneous reservoir with the characteristics consistent with those found in production fields in northern Brazil. The results obtained from the simulation and modeling of the Rio Urucu and SPE1 field with oil, water and gas are satisfactory, it was identified that in the initial conditions of the two reservoirs the permeability is similar, but the pressure of the wells is divergent and there were perceptible visual changes in the well pressures when comparing the black-oil model with the compositional model.