Tie-Line Based Parameterization for Thermal Compositional Reservoir Simulation

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Abstract/Contents

Abstract
Thermodynamic equilibrium computations are usually the most time consuming component in compositional reservoir flow simulation. A Compositional Space Adaptive Tabulation (CSAT) approach has been developed in order to speed up the Equation of State (EoS) computations. The methodology adaptively parameterizes the compositional space using a small number of tie-lines, which are assembled into a table. The phase equilibrium information for a composition is interpolated from the tie-line table. In this work, we extend the CSAT approach to thermal problems. Given an overall composition at a fixed temperature, the boundary between sub- and super-critical pressures is represented by the critical tie-line and the corresponding minimal critical pressure. A small set of sub-critical tie-lines is computed and stored for a given temperature. This process is repeated for the pressure and temperature ranges of interest, and a regular tie-line table is constructed. Close to the critical boundary, a refined tie-line table is used for phase identification. A combination of regular and refined interpolation improves the robustness of the tie-line search procedure and the overall efficiency of the computations. Several challenging tests are used to demonstrate the robustness and efficiency of this general thermal-compositional tie-line based parameterization method. Our results indicate that CSAT provides very accurate treatment of the near-critical region with a small number of preconditioned EoS flash iterations. Moreover, the computational efficiency of the method is at least an order of magnitude better than that of standard EoS-based approaches. We also show that the efficiency gains relative to standard techniques increase with the number of gridblocks in the simulation model.

Description

Type of resource text
Date created June 2008

Creators/Contributors

Author Iranshahr, Alireza
Primary advisor Tchelepi, Hamdi
Degree granting institution Stanford University, Department of Energy Resources Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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Preferred Citation
Iranshahr, Alireza. (2008). Tie-Line Based Parameterization for Thermal Compositional Reservoir Simulation. Stanford Digital Repository. Available at: https://purl.stanford.edu/vd835mg5288

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Master's Theses, Doerr School of Sustainability

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