Building a pore network model from a 3D image for perme- ability estimation

A general method to build a pore network model from a 3D image of a porous material ispresented in this work in order to compute its permeability. A skeleton of the void spaceis first used to define pores position. This skeleton is converted to a first graph. Mergingsteps are necessary to obtain a relevant network. A volume is allocated to the pores using awatershed algorithm, starting with markers defined from the nodes of the graph. The linearsystem of equations to solve is deduced by integrating the Stokes equations on pore spacepartitioning elements. The proportionality coefficient linking the pressure drop betweentwo pore centers and the flow going through the surface separating them is calculated withan original method. Application of the complete process to a real material is presented.

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Source https://theses.hal.science/tel-00802468
Author Combaret, Nicolas
Maintainer CCSD
Last Updated May 12, 2026, 06:44 (UTC)
Created May 12, 2026, 06:44 (UTC)
Identifier NNT: 2012BOR14696
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Chimie de la Matière Condensée de Bordeaux (ICMCB) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)
creator Combaret, Nicolas
date 2012-12-12T00:00:00
harvest_object_id 764e0d80-22bb-4007-b76c-d146af36555a
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE