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An adaptive mesh refinement algorithm for compressible two-phase flow in porous media
Authors:George Shu Heng Pau  John B Bell  Ann S Almgren  Kirsten M Fagnan  Michael J Lijewski
Institution:1.Earth Science Division,Lawrence Berkeley National Laboratory,Berkeley,USA;2.Center of Computational Sciences and Engineering,Lawrence Berkeley National Laboratory,Berkeley,USA;3.National Energy Research Scientific Computing Center,Lawrence Berkeley National Laboratory,Berkeley,USA
Abstract:We describe a second-order accurate sequential algorithm for solving two-phase multicomponent flow in porous media. The algorithm incorporates an unsplit second-order Godunov scheme that provides accurate resolution of sharp fronts. The method is implemented within a block structured adaptive mesh refinement (AMR) framework that allows grids to dynamically adapt to features of the flow and enables efficient parallelization of the algorithm. We demonstrate the second-order convergence rate of the algorithm and the accuracy of the AMR solutions compared to uniform fine-grid solutions. The algorithm is then used to simulate the leakage of gas from a Liquified Petroleum Gas (LPG) storage cavern, demonstrating its capability to capture complex behavior of the resulting flow. We further examine differences resulting from using different relative permeability functions.
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