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Large-Scale Model for the Dissolution of Heterogeneous Porous Formations: Theory and Numerical Validation

Abstract : In this paper, we study the dissolution of a porous formation made of soluble and insoluble materials with various types of Darcy-scale heterogeneities. Based on the assumption of scale separations, i.e., the convective and diffusive Damkohler numbers are smaller than certain limits which are documented in the paper, we apply large-scale upscaling to the Darcy-scale model to develop large-scale equations, which are used to describe the dissolution of porous formations with Darcy-scale heterogeneities. History-dependent closure problems are provided to get the effective parameters in the large-scale model. The large-scale model validity is tested by comparing numerical results for a 1D flow problem in a stratified system and a 2D flow problem in a nodular system to the Darcy-scale ones. The good agreement between results at Darcy and large scales shows the robustness of the large-scale model in representing the Darcy-scale results for the stratified system, even when the dissolution front is very sharp. Large-scale results for the nodular system represent satisfactorily the averaged Darcy-scale behaviors when the dissolution front is relatively thick, i.e., when model assumptions are satisfied, while there may be as expected some discrepancy generated between direct numerical simulations and large-scale results in the case of thin dissolution front. Overall, this study demonstrates the possibility of building a fully homogenized large-scale model incorporating dissolution history effects, and that the resulting large-scale model is capable to catch the main features of the Darcy-scale results within its applicability domain.
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Submitted on : Tuesday, June 22, 2021 - 3:56:40 PM
Last modification on : Monday, July 4, 2022 - 9:32:52 AM




Jianwei Guo, Farid Laouafa, Michel Quintard. Large-Scale Model for the Dissolution of Heterogeneous Porous Formations: Theory and Numerical Validation. Transport in Porous Media, 2021, ⟨10.1007/s11242-021-01623-0⟩. ⟨ineris-03267696⟩



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