Progress has been made in both the developments of novel algorithms and high-performance computer codes. A novel numerical algorithm for the non-linear gas-kinetic equation has been designed which can efficiently get the converged solutions of both gas flow in both conventional and rarefied conditions. By using such an algorithm, the theoretical computing time of near-continuum flows can be reduced by several orders. A 2D and 3D high-performance computing codes have been developed for simulating pore-scale gas flows. The 3D code can scale up to 20,000 CPU cores in the UK’s national supercomputer, Archer. Using the novel tools, we have studied the pore-scale gas flows in digitally scanned samples ultra-tight sandstones. The deterministic approached in this project is much more efficient than existing high-fidelity tools such as the direct simulation Monte Carlo methods.
Towards the end of this project, the advanced numerical method will be published as a scientific paper in the leading journal of scientific computing, Journal of Computational Physics. The massively parallel codes will have been released as open-source projects on GitHub. The high-fidelity numerical data for real sandstone samples will be deposited in the Digital Rock Portal, a publicly accessible data portal for retrieval, sharing, organization and analysis of images of varied porous micro-structures.
The new tools and the high-fidelity results will advance the understanding gas transport in unconventional porous media, thus provide more accurate macroscopic models in large-scale simulations in different fields such as natural extraction, CO2 sequestration, and functional porous materials.