Chaotic Advection at the Pore Scale: Mechanisms, Upscaling and Implications for Macroscopic Transport

TL;DR

This paper explores how chaotic advection at the pore scale in 3D porous media influences macroscopic solute transport, highlighting mechanisms, modeling approaches, and implications for mixing and spreading.

Contribution

It introduces a framework linking pore-scale chaotic advection to macroscopic dispersion using a CTRW model conditioned on pore-scale tomography.

Findings

3D flow induces chaotic advection, unlike 2D flow.

Chaotic advection significantly impacts macroscopic mixing.

A CTRW model effectively predicts dispersion based on pore-scale dynamics.

Abstract

The macroscopic spreading and mixing of solute plumes in saturated porous media is ultimately controlled by processes operating at the pore scale. Whilst the conventional picture of pore-scale mechanical dispersion and molecular diffusion leading to persistent hydrodynamic dispersion is well accepted, this paradigm is inherently two-dimensional (2D) in nature and neglects important three-dimensional (3D) phenomena. We discuss how the kinematics of steady 3D flow at the porescale generate chaotic advection, involving exponential stretching and folding of fluid elements,the mechanisms by which it arises and implications of microscopic chaos for macroscopic dispersion and mixing. Prohibited in steady 2D flow due to topological constraints, these phenomena are ubiquitous due to the topological complexity inherent to all 3D porous media. Consequently 3D porous media flows generate profoundly different fluid deformation and mixing processes to those of 2D flow. The interplay of chaotic advection and broad transit time distributions can be incorporated into a continuous-time random walk (CTRW) framework to predict macroscopic solute mixing and spreading. We show how these results may be generalised to real porous architectures via a CTRW model of fluid deformation, leading to stochastic models of macroscopic dispersion and mixing which both honour the pore-scale kinematics and are directly conditioned on the pore-scale tomography.