13–16 May 2024
Asia/Shanghai timezone
Registration is open! Abstract submissions for posters and online presentations are still being accepted.

Invited Speaker - Ivan Lunati

Ivan Lunati
Empa, Switzerland

Title:
Inertia, non-equilibrium, and momentum conservation in porous media

Abstract:
Theoretical and computational models of flow through porous media typically ignore inertial effects and use Darcy’s law (and extensions thereof) to approximate momentum balance. This contrasts with experimental observations of rapid fluid movement in the pore space, such as Haines jumps that occur in presence of multiple flowing phases. Also, neglecting acceleration may lead to contradictions analogous to those encountered when Fourier’s law is used as constitutive equation in the heat equation.

We review the role of local inertial effects in shaping the morphology of invading fluid fronts, paying particular attention to the effects of surface energy instabilities, spontaneous reconfiguration of the interface, collective pore filling, and hysteresis. Then, we discuss how a macroscopic momentum-balance equation can be introduced to model multiphase flow in porous media and describe salient flow features that are observed in the experiments but cannot be captured if Darcy’s law is used.
 

Bio:
Ivan Lunati is a physicist with interests that span theory, scientific computing, and experiments. He holds a degree summa cum laude from the University of Milan and a PhD from ETH Zurich. He has been Swiss National Science Foundation professor at the University of Lausanne, where he founded and led the Multiphase and Hydrosystems group, and worked on many theoretical and computational aspects of porous media (e.g., interface dynamics and pore-scale processes; soil evaporation; multiscale/multiphysics modeling; machine learning for uncertainty quantification). In 2020, he joined Empa, where he is currently the Head of the Laboratory for Computational Engineering, which is committed to integrate mechanistic simulations, data-driven modeling, and experiments. His current research is intrinsically interdisciplinary and embraces, in addition to porous media, atomistic simulations, artificial intelligence, electro-optical diagnostic, network science, epidemiology, and virus transport.