Porous Medium

Porous media research focuses on understanding fluid flow and transport within materials containing interconnected pores, crucial for diverse applications from subsurface energy extraction to biological tissue modeling. Current research emphasizes developing efficient computational methods, including physics-informed neural networks (PINNs), Fourier neural operators (FNOs), and graph convolutional networks (GCNs), to simulate complex multiphase flows and transport processes, often leveraging micro-CT imaging data and pore network models. These advancements improve the accuracy and speed of simulations, enabling better predictions of properties like permeability and facilitating uncertainty quantification in challenging scenarios. The resulting insights are vital for optimizing resource extraction, designing advanced materials, and advancing our understanding of natural systems.