Pore-scale modeling of two-phase flow: a comparison of the generalized network model to direct numerical simulation
File(s)Giudici_et_al_PRE_2023.pdf (596.58 KB)
Accepted version
Author(s)
Giudici, Luke M
Raeini, Ali Q
Akai, Takashi
Blunt, Martin J
Bijeljic, Branko
Type
Journal Article
Abstract
Despite recent advances in pore-scale modeling of two-phase flow through porous media, the relative strengths and limitations of various modeling approaches have been largely unexplored. In this work, two-phase flow simulations from the generalized network model (GNM) [Phys. Rev. E 96, 013312 (2017)2470-004510.1103/PhysRevE.96.013312; Phys. Rev. E 97, 023308 (2018)2470-004510.1103/PhysRevE.97.023308] are compared with a recently developed lattice-Boltzmann model (LBM) [Adv. Water Resour. 116, 56 (2018)0309-170810.1016/j.advwatres.2018.03.014; J. Colloid Interface Sci. 576, 486 (2020)0021-979710.1016/j.jcis.2020.03.074] for drainage and waterflooding in two samples-a synthetic beadpack and a micro-CT imaged Bentheimer sandstone-under water-wet, mixed-wet, and oil-wet conditions. Macroscopic capillary pressure analysis reveals good agreement between the two models, and with experiments, at intermediate saturations but shows large discrepancy at the end-points. At a resolution of 10 grid blocks per average throat, the LBM is unable to capture the effect of layer flow which manifests as abnormally large initial water and residual oil saturations. Critically, pore-by-pore analysis shows that the absence of layer flow limits displacement to invasion-percolation in mixed-wet systems. The GNM is able to capture the effect of layers, and exhibits predictions closer to experimental observations in water and mixed-wet Bentheimer sandstones. Overall, a workflow for the comparison of pore-network models with direct numerical simulation of multiphase flow is presented. The GNM is shown to be an attractive option for cost and time-effective predictions of two-phase flow, and the importance of small-scale flow features in the accurate representation of pore-scale physics is highlighted.
Date Issued
2023-03
Date Acceptance
2023-02-17
Citation
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2023, 107 (3)
ISSN
1539-3755
Publisher
American Physical Society
Journal / Book Title
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
Volume
107
Issue
3
Copyright Statement
©2023 American Physical Society. Giudici, L. M., Raeini, A. Q., Akai, T., Blunt, M. J., & Bijeljic, B. (2023). Pore-scale modeling of two-phase flow: A comparison of the generalized network model to direct numerical simulation. Physical Review E, 107(3), 035107.
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/37073001
Publication Status
Published
Coverage Spatial
United States
Article Number
035107
Date Publish Online
2023-03-22