On multi-block lattice Boltzmann method for high Knudsen number flows
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Abstract
This work introduces a new computational framework aimed at advancing the modeling of gas transport in confined porous media, particularly shale and tight geological formations that are characterized by their intricate network of meso- and micro-scale fractures and a broad distribution of organic pores. Accurate simulation of gas behavior in such media is challenging due to the complex interactions occurring at high Knudsen numbers, where conventional continuum-based methods fail and kinetic-theory approach becomes more suitable. To tackle these complexities, this work presents a lattice Boltzmann framework tailored for large computational domains with multi-scale pore structures from nano to micro scales. This framework incorporates slip boundary conditions and features an innovative multi-block approach to enable efficient simulations over a wide range of pore sizes, from nanometers to micrometers. The novel contributions of this work include: A scale-informed grid refinement strategy, the incorporation of shear stress terms, multi-block evolution algorithm, and a novel classification method for implementing specular reflection boundary conditions on irregular surfaces. Validation against Direct Simulation Monte Carlo and Molecular Dynamics data from the literature confirms the model’s accuracy in predicting gas behavior. Simulations of methane transport in tight porous media with irregular geometries highlight the framework’s effectiveness in modeling gas permeability across varying pressure conditions. Apparent permeability results across a range of Knudsen numbers demonstrate the versatility of this framework in capturing the physics of gas transport in confined porous media.
Document Type: Original article
Cited as: Rustamov, N., Mostaghimi, P., Aryana, S. A. On multi-block lattice Boltzmann method for high Knudsen number flows. Advances in Geo-Energy Research, 2025, 16(2): 143-157. https://doi.org/10.46690/ager.2025.05.06
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Abedi, B., Orujov, A., Dabbaghi, E., Ng, K., et al. Containment strategy for subsurface H2 storage based on time-dependent soft solids. International Journal of Hydrogen Energy, 2024, 82: 1001-1014.
Adams, L., Chartier, T. P. A comparison of algebraic multigrid and geometric immersed interface multigrid methods for interface problems. SIAM Journal on Scientific Computing, 2005, 26(3): 762-784.
Ahmed, F., Gupta, A., Arora, N. An Eulerian based geometry conforming grid-block dynamic mesh refinement for the lattice Boltzmann method. Physics of Fluids, 2023, 35(10): 107142.
Bochkanov, S. ALGLIB-Numerical Analysis Library, 2024.
Bocanegra, J. A., Misale, M., Borelli, D. A systematic literature review on lattice Boltzmann method applied to acoustics. Engineering Analysis with Boundary Elements, 2023, 158: 405-429.
Bradski, G., Kaehler, A. OpenCV Library, 2000.
Carrillo, F. J., Bourg, I. C., Soulaine, C. Multiphase flow modeling in multiscale porous media: An open-source micro-continuum approach. Journal of Computational Physics X, 2020, 8: 100073.
Chen, H., Chen, S., Matthaeus, W. H. Recovery of the Navier-Stokes equations using a lattice-gas Boltzmann method. Physical Review A, 1992, 45(8): R5339-R5342.
Chen, H., Filippova, O., Hoch, J., et al. Grid refinement in lattice Boltzmann methods based on volumetric formulation. Physica A: Statistical Mechanics and Its Applications, 2005, 362(1): 158-167.
Chen, Y., Kang, Q., Cai, Q., et al. Lattice Boltzmann method on quadtree grids. Physical Review E, 2011, 83(2): 026707.
Cheng, M., Hung, K. C. Lattice Boltzmann method on nonuniform mesh. International Journal of Computational Engineering Science, 2004, 5(2): 291-302.
Chiu, T.-H., Lin, C.-A. Multigrid accelerated projection method on GPU cluster for the simulation of turbulent f lows. Journal of Mechanics, 2023, 39: 199-212.
D’Humières, D. Multiple-relaxation-time lattice Boltzmann models in three dimensions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2002, 360(1792): 437-451.
Dongari, N., Agrawal, A. Modeling of Navier-Stokes equations for high Knudsen number gas flows. International Journal of Heat and Mass Transfer, 2012, 55(15-16): 4352-4358.
Foroughi, S., Jamshidi, S., Masihi, M. Lattice Boltzmann method on quadtree grids for simulating fluid flow through porous media: A new automatic algorithm. Physica A: Statistical Mechanics and Its Applications, 2013, 392(20): 4772-4786.
Frouté, L., Wang, Y., McKinzie, J., et al. Transport simulations on scanning transmission electron microscope images of nanoporous shale. Energies, 2020, 13(24): 6665.
Guo, Z., Shi, B., Zhao, T. S., et al. Discrete effects on boundary conditions for the lattice Boltzmann equation in simulating microscale gas flows. Physical Review E, 2007, 76(5): 056704.
Guo, Z., Zheng, C., Shi, B. Lattice Boltzmann equation with multiple effective relaxation times for gaseous microscale f low. Physical Review E, 2008, 77(3): 036707.
Guzik, S. M., Weisgraber, T. H., Colella, P., et al. Interpolation methods and the accuracy of lattice-Boltzmann mesh refinement. Journal of Computational Physics, 2013, 259: 461-487.
He, X., Luo, L.-S. Theory of the lattice Boltzmann method: From the Boltzmann equation to the lattice Boltzmann equation. Physical Review E, 1997, 56(6): 6811-6817.
Lallemand, P., Luo, L.-S. Theory of the lattice Boltzmann method: Dispersion, dissipation, isotropy, Galilean invariance, and stability. Physical Review E, 2000, 61(6): 6546-6562.
Latt, J., Malaspinas, O., Kontaxakis, D., et al. Palabos: Parallel lattice boltzmann solver. Computers & Mathematics with Applications, 2020, 81: 334-350.
Li, Q., He, Y. L., Tang, G. H., et al. Lattice Boltzmann modeling of microchannel flows in the transition flow regime. Microfluidics and Nanofluidics, 2010, 10(3): 607-618.
Li, W., Wang, D., Wang, J. G. Improved mathematical model of apparent permeability: A focused study on free and multilayer adsorptive phase flow. Journal of Natural Gas Science and Engineering, 2022, 101: 104508.
Liu, L., Frouté, L., Kovscek, A. R., et al. Scale translation yields insights into gas adsorption under nanoconfinement. Physics of Fluids, 2024, 36(7): 072011.
Liu, L., Wang, Y., Aryana, S. A. Insights into scale translation of methane transport in nanopores. Journal of Natural Gas Science and Engineering, 2021, 96: 104220.
Liu, M., Mostaghimi, P. High-resolution pore-scale simulation of dissolution in porous media. Chemical Engineering Science, 2017, 161: 360-369.
Liu, Z., Tian, F.-B., Feng, X. An efficient geometry-adaptive mesh refinement framework and its application in the immersed boundary lattice Boltzmann method. Computer Methods in Applied Mechanics and Engineering, 2022, 392: 114662.
Liu, Z., Li, S., Ruan, J., et al. A New Multi-Level grid multiple-relaxation-time lattice Boltzmann method with spatial interpolation. Mathematics, 2023, 11(5): 1089.
Loucks, R. G., Reed, R. M., Ruppel, S. C., et al. Spectrum of pore types and networks in mudrocks and a descriptive classification for matrix-related mudrock pores. AAPG Bulletin, 2012, 96(6): 1071-1098.
Mehmani, Y., Anderson, T., Wang, Y., et al. Striving to translate shale physics across ten orders of magnitude: What have we learned? Earth-Science Reviews, 2021, 223: 103848.
Michalis, V. K., Kalarakis, A. N., Skouras, E. D., et al. Rarefaction effects on gas viscosity in the Knudsen transition regime. Microfluidics and Nanofluidics, 2010, 9(4-5): 847-853.
Mohamad, A. A. Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Codes. Berlin, Germany, Springer, 2019.
Mostaghimi, P., Liu, M., Arns, C. H. Numerical simulation of reactive transport on micro-CT images. Mathematical Geosciences, 2016, 48: 963-983.
Nannelli, F., Succi, S. The lattice Boltzmann equation on irregular lattices. Journal of Statistical Physics, 1992, 68(3-4): 401-407.
Perumal, L., Koh, W. H. Techniques for element formulation and quadtree-based triangular mesh generation for strain-based finite elements. MethodsX, 2023, 10: 102027.
Prouvost, L., Belme, A., Fuster, D. A metric-based adaptive mesh refinement criterion under constrains for solving elliptic problems on quad/octree grids. Journal of Computational Physics, 2024, 506: 112941.
Rapp, B. E. Microfluidics: Modeling, Mechanics and Mathematics. Amsterdam, Netherlands, Elsevier, 2016.
Rustamov, N., Aryana, S. GPU-accelerated simulations of gas transport and adsorption in complex shale systems. ESS Open Archive, 2024.
Rustamov, N., Liu, L., Aryana, S. A. Scalable simulation of coupled adsorption and transport of methane in confined complex porous media with density preconditioning. Gas Science and Engineering, 2023, 119: 205131.
Shephard, M. S., Georges, M. K. Automatic three-dimensional mesh generation by the finite octree technique. International Journal for Numerical Methods in Engineering, 1991, 32(4): 709-749.
Su, W., Lindsay, S., Liu, H., et al. Comparative study of the discrete velocity and lattice Boltzmann methods for rarefied gas flows through irregular channels. Physical Review E, 2017, 96(2): 023309.
Succi, S. The Lattice Boltzmann Equation: For Fluid Dynamics and Beyond. Oxford, UK, Oxford University Press, 2001.
Succi, S. Mesoscopic modeling of slip motion at fluid-solid interfaces with heterogeneous catalysis. Physical Review Letters, 2002, 89(6): 064502.
Suga, K. Lattice Boltzmann methods for complex micro-flows: Applicability and limitations for practical applications. Fluid Dynamics Research, 2013, 45(3): 034501.
Wang, Y., Aryana, S. A. Pore-scale simulation of gas flow in microscopic permeable media with complex geometries. Journal of Natural Gas Science and Engineering, 2020, 81: 103441.
Wu, Z., Sun, Z., Shu, K., et al. Mechanism of shale oil displacement by CO2 in nanopores: A molecular dynamics simulation study. Advances in Geo-Energy Research, 2024, 11(2): 141-151.
Zhang, L., Zhao, Z., Chang, X., et al. A 3D hybrid grid generation technique and a multigrid/parallel algorithm based on anisotropic agglomeration approach. Chinese Journal of Aeronautics, 2013, 26(1): 47-62.
Zhang, R., Shan, X., Chen, H. Efficient kinetic method for fluid simulation beyond the Navier-Stokes equation. Physical Review E, 2006, 74(4): 046703.
Zhao, Y., Luo, M., Liu, L., et al. Molecular dynamics simulations of shale gas transport in rough nanopores. Journal of Petroleum Science and Engineering, 2022, 217: 110884.
DOI: https://doi.org/10.46690/ager.2025.05.06
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