# Wetting-phase relative permeability in porous media with bi-modal pore size distributions

## TL;DR

This study applies critical path analysis to model water relative permeability in dual-porosity soils with bi-modal pore sizes, showing improved accuracy over traditional models and emphasizing the importance of detailed capillary pressure data.

## Contribution

It introduces a novel application of critical path analysis for estimating water permeability in dual-porosity media, outperforming existing series-parallel tube models.

## Key findings

- Critical path analysis provides more accurate krw estimates than vG-M.
- Accurate characterization of capillary pressure curves is essential for precise krw estimation.
- The method is validated on soils under different cultivation conditions.

## Abstract

Modeling fluid flow in dual-porosity media with bi-modal pore size distributions has practical applications to understanding transport in multi-scale systems such as natural soils. Dual-porosity media are typically formed of two domains: (1) structure and (2) texture. The former mainly incorporates macropores, while the latter contains micropores. Although there exist models based on the series-parallel tubes approach, here we apply concepts from critical path analysis, a theoretical technique from statistical physics, to estimate water relative permeability (krw) in dual-porosity media. For this purpose, we use two datasets from the literature collected under two different cultivation conditions: (i) conventional tillage (CT) and (ii) non-tillage (NT). Each dataset consists of 13 soil samples for which capillary pressure curve and water relative permeability were measured at 500 data point over a wide range of water saturation. We estimate the water relative permeability from the measured capillary pressure curve using two methods: (1) critical path analysis (CPA), and (2) series-parallel tubes (vG-M), both models adapted for dual-porosity media. Comparing the theoretical estimations with the experimental measurements shows that CPA resulted in more accurate krw estimations than vG-M. We demonstrate that precise estimation of krw via CPA requires accurate characterization of capillary pressure curve and precise determination of the crossover point separating the structure domain from the texture one.

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Source: https://tomesphere.com/paper/1907.06060