Title :

Comparison of advanced discretization techniques for image-based modelling of heterogeneous porous rocks

Author(s) :

Ehab Moustafa Kamel, Karim [Auteur]
Colliat, Jean Baptiste [Auteur]
Laboratoire de Mécanique, Multi-physique, Multi-échelle (LaMcube) - UMR 9013
Laboratoire de Mécanique Multiphysique Multiéchelle [LaMcube]
Gerard, Pierre [Auteur]
Massart, Thierry J. [Auteur]

Journal title :

Acta Geotechnica

Abbreviated title :

Acta Geotech.

Publisher :

Springer Nature

Publication date :

2019-03-27

HAL domain(s) :

Physique [physics]/Mécanique [physics]

English abstract : [en]

This contribution presents an assessment of computational techniques enabling automated simulations of complex porous rocks microstructures based on 3D imaging techniques. A subset of a CT-scanned sandstone sample is used ...
Show more >This contribution presents an assessment of computational techniques enabling automated simulations of complex porous rocks microstructures based on 3D imaging techniques. A subset of a CT-scanned sandstone sample is used to compare the results obtained by two advanced discretization frameworks. Raw scan results are processed by a level-set-based segmentation technique to produce smooth geometries prone to finite element discretizations. A recently developed technique is outlined for conforming mesh generation for complex porous geometries described implicitly by functions. This allows generating high-quality tetrahedral meshes with selective refinement. Next to this, a technique that uses a kinematic enrichment by incompatible modes to represent the heterogeneous geometry is explained. Both techniques use the same implicit geometry as main input for the simulations. Mechanical simulations are conducted on a subset of a scanned sample of a sandstone under triaxial loading conditions for isotropic compressive loading and for loading conditions involving a stress deviator. The results are compared and discussed based on local stress distributions and on a Mohr–Coulomb criterion with tensile cut-off. The results show that both discretization strategies yield complementary tools and allow envisioning automated simulations based on raw CT scan data for porous rocks exhibiting complex pore space morphologies.Show less >

Language :

Anglais

Audience :

Non spécifiée

Collections :

• Laboratoire de Mécanique, Multi-physique, Multi-échelle (LaMcube) - UMR 9013

Submission date :

2019-04-18T13:02:25Z
2019-07-04T10:41:05Z