Compositional Simulation of Hydrocarbon Reservoirs Flow Using Adaptive Compositional Space Parameterization, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)
Abstract
In recent decades, there have been great efforts to simulate flow in hydrocarbon reservoirs and oil recovery processes. Compositional model is one of the most advanced models for this purpose. In this model nonlinear mass conservation equations for multicomponent flow have to be solved along with thermodynamic equilibrium constraints. In most compositional simulators, an equation of state is used to determine phase behavior of hydrocarbon mixtures. In this work an efficient two-phase compositional model for both immiscible and miscible fluid flows in porous media is presented. The solution algorithm employs the so-called Implicit Pressure Explicit Saturation (IMPES) method. To determine the...
Cataloging briefCompositional Simulation of Hydrocarbon Reservoirs Flow Using Adaptive Compositional Space Parameterization, M.Sc. Thesis Sharif University of Technology ; Taghizadeh Manzari, Mehrdad (Supervisor) ; Kazemzadeh Hannani, Siamak (Supervisor)
Abstract
In recent decades, there have been great efforts to simulate flow in hydrocarbon reservoirs and oil recovery processes. Compositional model is one of the most advanced models for this purpose. In this model nonlinear mass conservation equations for multicomponent flow have to be solved along with thermodynamic equilibrium constraints. In most compositional simulators, an equation of state is used to determine phase behavior of hydrocarbon mixtures. In this work an efficient two-phase compositional model for both immiscible and miscible fluid flows in porous media is presented. The solution algorithm employs the so-called Implicit Pressure Explicit Saturation (IMPES) method. To determine the...
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