3D reconstruction of poral network at nanoscale from 2D slices

Quentin Corlay and Pauline Collon and Fabrice Golfier and Kassem Kalo and Anne-Julie Tinet. ( 2018 )
in: 2018 Ring Meeting, ASGA

Abstract

Low permeability materials have pores too tight to be characterized using conventional methods. So, the creation of a 3D pore-scale models of a porous media is often an essential step in quanti- tatively characterizing those materials and predicting their transport properties. In this work, we study a stack of 180 parallel FIB-SEM slices (1095x1096 pixels) of a synthetic clay of nanometric porosity. We propose a method to reconstruct a coherent 3D configuration of its porous structure from 2D sections with different sampling spaces. This method is based on a multiple-point statistic algorithm (MPS). It uses a stochastic sequential simulation of 2D slices to allow a computationally efficient reconstruction (CPU time) of a medium of high dimensions (1095x1096x180). The results of several simulations are analyzed to evaluate the ability of the method to capture the porous connectivity of the material.

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BibTeX Reference

@INPROCEEDINGS{,
    author = { Corlay, Quentin and Collon, Pauline and Golfier, Fabrice and Kalo, Kassem and Tinet, Anne-Julie },
     title = { 3D reconstruction of poral network at nanoscale from 2D slices },
 booktitle = { 2018 Ring Meeting },
      year = { 2018 },
 publisher = { ASGA },
  abstract = { Low permeability materials have pores too tight to be characterized using conventional methods.
So, the creation of a 3D pore-scale models of a porous media is often an essential step in quanti-
tatively characterizing those materials and predicting their transport properties. In this work, we
study a stack of 180 parallel FIB-SEM slices (1095x1096 pixels) of a synthetic clay of nanometric
porosity. We propose a method to reconstruct a coherent 3D configuration of its porous structure
from 2D sections with different sampling spaces. This method is based on a multiple-point statistic
algorithm (MPS). It uses a stochastic sequential simulation of 2D slices to allow a computationally
efficient reconstruction (CPU time) of a medium of high dimensions (1095x1096x180). The results
of several simulations are analyzed to evaluate the ability of the method to capture the porous
connectivity of the material. }
}