Lattice Boltzmann modelling of intrinsic permeability
Jun Li, Minh Tuan Ho, Lei Wu, Yonghao Zhang

TL;DR
This paper examines how the Lattice Boltzmann method models intrinsic permeability in porous media, emphasizing the importance of low Knudsen numbers for accurate Navier-Stokes level simulations, especially in gas flows through ultra-tight media.
Contribution
It clarifies the conditions under which LBM accurately reproduces Navier-Stokes flow properties in porous media, highlighting the role of high-order moments and rarefaction effects.
Findings
High-order moments in LBM are significant for gas flows in ultra-tight media.
Low Knudsen number is essential for LBM to match Navier-Stokes predictions.
Neglecting high-order moments can lead to inaccuracies in permeability estimation.
Abstract
Lattice Boltzmann method (LBM) has been applied to predict flow properties of porous media including intrinsic permeability, where it is implicitly assumed that the LBM is equivalent to the incompressible (or near incompressible) Navier-Stokes equation. However, in LBM simulations, high-order moments, which are completely neglected in the Navier-Stokes equation, are still available through particle distribution functions. To ensure that the LBM simulation is correctly working at the Navier-Stokes hydrodynamic level, the high-order moments have to be negligible. This requires that the Knudsen number (Kn) is small so that rarefaction effect can be ignored. In this technical note, we elaborate this issue in LBM modelling of porous media flows, which is particularly important for gas flows in ultra-tight media.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Aerosol Filtration and Electrostatic Precipitation · Heat and Mass Transfer in Porous Media
