A domain decomposition approach to pore-network modeling of porous media flow
By: Zhangchengrui Wang , Lei Zhang , Shuyu Sun and more
Potential Business Impact:
Simulates how liquids flow through tiny spaces.
We propose a domain-decomposition pore-network method (DD-PNM) for modeling single-phase Stokes flow in porous media. The method combines the accuracy of finite-element discretizations on body-fitted meshes within pore subdomains with a sparse global coupling enforced through interface unknowns. Local Dirichlet-to-Neumann operators are precomputed from finite-element solutions for each pore subdomain, enabling a global Schur-complement system defined solely on internal interfaces. Rigorous mathematical analysis establishes solvability and discrete mass conservation of the global system. Moreover, we constructively recover classical pore-network models by fitting half-throat conductivities to local Dirichlet-to-Neumann maps, providing a principled bridge between mesh-based and network-based frameworks. Numerical results are presented to demonstrate the validity and effectiveness of the overall methodology.
Similar Papers
An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
Machine Learning (CS)
Predicts how water flows through rocks better.
Preconditioning and Reduced-Order Modeling of Navier-Stokes Equations in Complex Porous Microstructures
Numerical Analysis
Makes computer simulations of liquid flow faster.
Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
Computational Engineering, Finance, and Science
Solves hard science problems much faster.