Computational Permeability Determination from Pore-Scale Imaging: Sample Size, Mesh and Method Sensitivities

Romain Guibert (1) , Marfa Nazarova (2) , Pierre Horgue (1) , G. Hamon (3) , Patrice Creux (2) , Gérald Debenest (1)

1 IMFT - Institut de mécanique des fluides de Toulouse
2 LFCR - Laboratoire des Fluides Complexes et leurs Réservoirs
3 TOTAL FINA ELF

In this work, a complete work flow from pore-scale imaging to absolute permeability determination is described and discussed. Two specific points are tackled, concerning (1) the mesh refinement for a fixed image resolution and (2) the impact of the determination method used. A key point for this kind of approach is to work on enough large samples to check the representativity of the obtained evaluations, which requires efficient parallel capabilities. Image acquisition and processing are realized using a commercial micro-tomograph. The pore-scale flows are then evaluated using the finite volume method implemented in the open-source platform OpenFOAM®. For this numerical method, the influence of the different aspects mentioned above are studied. Moreover, the parallel efficiency is also tested and discussed. We observe that the level of mesh refinement has a non-negligible impact on permeability tensor. Moreover, increasing the refinement level tends to reduce the gap between the methods of computational measurements. The increase in computation time with the mesh is balanced with the good parallel efficiency of the platform.

Mots clés: Digital rock physics; Computed micro-tomography; Permeability; Finite volume; OpenFOAM

Domaines: Génie chimique; Mécanique des fluides [physics.class-ph]; Géologie appliquée; Génie civil

Romain Guibert, Marfa Nazarova, Pierre Horgue, G. Hamon, Patrice Creux, et al.. Computational Permeability Determination from Pore-Scale Imaging: Sample Size, Mesh and Method Sensitivities. Transport in Porous Media, 2015, pp.0. ⟨10.1007/s11242-015-0458-0⟩. ⟨hal-01122477⟩