Geometric modelling of 3D pore space using curve skeleton: Application to computational microbiology of soil organic matter mineralization
Zakaria Belghali, Olivier Monga, Mouad Klai, El Hassan Abdelwahed, Lucie Druoton, Valérie Pot, Philippe C. Baveye
TL;DR
This paper introduces a new method for modeling soil pore spaces using curve skeletons to improve computational simulations of microbial processes in soil.
Contribution
The novel approach uses curve skeletons to partition pore space into connected subsets for graph-based simulations.
Findings
Using curve skeletons reduces computational costs compared to traditional voxel-based methods.
The method allows for accurate simulation of microbial mineralization and diffusion processes.
The approach partitions pore space into connected subsets for graph-based modeling.
Abstract
Recent advances in 3D X-ray Computed Tomography (CT) sensors have stimulated research efforts to unveil the extremely complex micro-scale processes that control the activity of soil microorganisms. Classical methods for the numerical simulation of biological dynamics using meshes of voxels, such as the Lattice Boltzmann Method (LBM), tend to require long computation times. The use of more compact geometrical representations of the pore space can drastically decrease the computational cost of simulations. Recent research has introduced basic analytic volume primitives to define piece-wise approximations of the pore space to simulate drainage, diffusion, and microbial mineralization of organic matter in soils. Such approaches work well but a drawback is that they give rise to significant approximation errors caused by imposing a priori shapes to represent the pores. In the present…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Enhanced Oil Recovery Techniques · Fecal contamination and water quality