Abstract

Existing definitions of where and why preferential flow in porous media occurs, or will occur, assume a priori knowledge of the fluid flow and do not fully account for the connectivity of available flow paths in the system. Here we propose a method for identifying preferential pathways through a flow network, given its topology and finite link capacities. Using data from a deforming granular medium, we show that the preferential pathways form a set of percolating pathways that is optimized for global transport of interstitial pore fluid in alignment with the applied pressure gradient. Two functional subgroups emerge. The primary subgroup comprises the main arterial paths that transmit the greatest flow through shortest possible routes. The secondary subgroup comprises inter- and intra-connecting bridges that connect the primary paths, provide alternative flow routes, and distribute flow through the system to maximize throughput. We examine the multiscale relationship between functionality and subgroup structure as the sample dilates in the lead up to the failure regime where the global volume then remains constant. Preferential flow pathways chain together large, well-connected pores, reminiscent of force chain structures that transmit the majority of the load in the solid grain phase.

Highlights

  • Existing definitions of where and why preferential flow in porous media occurs, or will occur, assume a priori knowledge of the fluid flow and do not fully account for the connectivity of available flow paths in the system

  • Where preferential fluid flow paths in porous media occur, what fraction of flow these paths carry, and why certain pathways are preferred has been defined in various ways, including (1) the delineation of the liquid phase in relatively mobile and immobile parts[1], (2) ‘all phenomena where water and solutes move along certain pathways, while bypassing a fraction of the porous matrix’2, [p ∼ 150], and (3) non-equilibrium transport through large interaggregate voids referred to as macropores in soil science[3]

  • The aforementioned definition (1) and characterization techniques cannot predict preferential flow structure without conducting a fluid flow experiment or numerical simulation, while definition (3) does not directly account for the connectivity that is inherent to the chains of pores that make up preferential flow pathways[19]

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Summary

Introduction

Existing definitions of where and why preferential flow in porous media occurs, or will occur, assume a priori knowledge of the fluid flow and do not fully account for the connectivity of available flow paths in the system. Elucidating the functional preferential flow groups requires a mathematical framework that can account for geometrical and material heterogeneity germane to complex porous media In this context, network flow theory and, in particular, the Maximum Flow, Minimum Cost (MFMC) algorithm, has shown promise in modeling (preferential) force transmission[32,33,34] in cohesionless and cohesive granular materials in 3D35,36. Our network flow model aims to complement such investigations to gain supplemental insights and further our understanding of where, why and to what degree preferential flow paths form in granular, porous media

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