Construction of Three-Dimensional Pore Network in Bulk Grain

Abstract

In order to construct a 3D pore network reflecting the real pore structure of bulk grain, a series of 2D section images are obtained and used to reconstruct 3D images using MATLAB. The parameters of the 3D pore network are extracted by the maximal ball method. A stochastic 3D pore network with a random size is generated, but some throats are lost in generation. The parameter deviation between the original model and the generated model decreases with an increase in volume. There is almost no deviation when the space size is up to meter level. The image resolution of 0.5 mm is enough to extract parameters of the bulk grain.

Keywords:

• Bulk grain
• Maximal ball
• Three-dimensional pore network

ACKNOWLEDGMENT

This work was supported by the National Natural Science Foundation of China (31171772).