Subsurface hydraulic properties are mainly governed by the heterogeneity of the porous medium considered. Our work aims at characterizing the asymptotic dispersion coefficients for highly heterogeneous permeability fields triggered by advection and constant local dispersion diffusion. We have developped a fully parallel software for simulating flow and transport. We have compared two well known sparse linear solvers, based respectively on a multi frontal Cholesky factorization and an iterative structured multigrid method. We study the effect of various parameters, mainly the system size, the number of processors and the degree of heterogeneity of the permeability field
An efficient multiscale (MS) gradient computation method for subsurface flow management and optimiza...
In this report we present parallel solvers for large linear systems arising from the finite-element ...
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is develo...
Subsurface hydraulic properties are mainly governed by the heterogeneity of the porous medium consid...
International audienceSubsurface hydraulic properties are mainly governed by the heterogeneity of ge...
International audienceWe determine the asymptotic dispersion coefficients in 2D exponentially correl...
Groundwater contaminant modeling presents several challenges to the mathematician. Among these are t...
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) projec...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
We introduce a semi-analytical iterative multiscale derivative computation methodology that allows f...
Abstract. A methodology for incorporating subgrid effects in coarse-scale numerical models of flow i...
The multiscale structure of heterogeneous porous media prevents a straightforward numerical treatmen...
This dissertation aims at developing a novel and robust high performing paral- lel computational fra...
Usually the permeability tensor is the most dominant parameter affecting groundwater flow and trans...
Accurate simulation of multiphase flow in subsurface formations is challenging, as the formations sp...
An efficient multiscale (MS) gradient computation method for subsurface flow management and optimiza...
In this report we present parallel solvers for large linear systems arising from the finite-element ...
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is develo...
Subsurface hydraulic properties are mainly governed by the heterogeneity of the porous medium consid...
International audienceSubsurface hydraulic properties are mainly governed by the heterogeneity of ge...
International audienceWe determine the asymptotic dispersion coefficients in 2D exponentially correl...
Groundwater contaminant modeling presents several challenges to the mathematician. Among these are t...
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) projec...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
We introduce a semi-analytical iterative multiscale derivative computation methodology that allows f...
Abstract. A methodology for incorporating subgrid effects in coarse-scale numerical models of flow i...
The multiscale structure of heterogeneous porous media prevents a straightforward numerical treatmen...
This dissertation aims at developing a novel and robust high performing paral- lel computational fra...
Usually the permeability tensor is the most dominant parameter affecting groundwater flow and trans...
Accurate simulation of multiphase flow in subsurface formations is challenging, as the formations sp...
An efficient multiscale (MS) gradient computation method for subsurface flow management and optimiza...
In this report we present parallel solvers for large linear systems arising from the finite-element ...
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is develo...