Entropic descriptor based reconstruction of three-dimensional porous microstructures using a single cross-section

TL;DR

This paper presents a simple entropic method for reconstructing 3D porous microstructures from a single 2D image, balancing computational efficiency and accuracy, and applicable to various multiphase media.

Contribution

The paper introduces a novel entropic descriptor-based reconstruction technique that improves 3D microstructure modeling from limited 2D data, with demonstrated success on different porous materials.

Findings

Reliable 3D reconstructions for sandstone, ceramics, and carbonate samples.

The method balances efficiency and accuracy effectively.

Versatile approach extendable to other multiphase media.

Abstract

The simple entropic method to statistical reconstructing of heterogeneous three-dimensional media from a single two-dimensional image is briefly reported. We apply the entropic descriptor quantifying spatial inhomogeneity that depends on length scale. The multiscale reconstructing procedure is boosted when we start from the synthetic 3D configuration. It is randomly generated with the overlapping spheres of a radius depending on the structure considered. In our scenario, the simulated annealing terminates when all assigned temperature loops are completed. Thus, the quality of the results for different samples can be fairly compared. The reliable 3D reconstructions of porous sandstone, ceramics and carbonate samples are obtained. They suggest the entropic method is a promising approach, which offers a kind of compromise between the computational efficiency and the accuracy of the statistical reconstructions. Furthermore, this approach is versatile enough to be extended for any multiphase medium.