Gabriel Miranda

Gabriel Miranda
Universidade Federal de Juiz de Fora · Departamento de Ciência da Computação

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7
Publications
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7
Citations

Publications

Publications (7)
Article
Full-text available
Efficient decision-making in foam-assisted applications, such as soil remediation and enhanced oil recovery, frequently relies on intricate models that are developed based on a selection of component models that describe the underlying physics of the phenomenon at hand. Modeling foam flow is challenging due to the complex interactions between foam...
Article
Full-text available
This study focuses on analyzing parameter identifiability in foam displacement models during two‐phase flow in porous media, with a particular emphasis on calibrating relative permeability and foam parameters. We employ the profile likelihood technique and Bayesian inference for identifiability analysis. Successful parameter estimation is demonstra...
Chapter
Full-text available
In enhanced oil recovery (EOR) processes, foam injection reduces gas mobility and increases apparent viscosity, thus increasing recovery efficiency. The quantification of uncertainty is essential in developing and evaluating mathematical models. In this work, we perform uncertainty quantification (UQ) of two-phase flow models for foam injection usi...
Chapter
We propose stable and locally conservative hybrid mixed finite element methods to approximate the Darcy system and convection-diffusion problem, presented in a mixed form, to solve miscible displacements considering convective flows with adverse mobility ratio. The stability of the proposed formulations is achieved due to the choice of non-conformi...

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