Tracking signatures of chaotic mixing in porous media using high-resolution tomography
File(s)
Author(s)
Type
Conference Paper
Abstract
Chemical reactions at the fluid-rock interface play a key role in a wide range of processes and applications in the subsurface, including soil remediation, water treatment, and geological CO2 storage among others. The kinetics of these reactions are generally modelled by assuming that reactants in the fluid phase are well-mixed at the pore scale. Recent findings by optical imagery, though, show that steady laminar flow in transparent beads produces chaotic microscale trajectories, akin to turbulent flow but at low Reynolds numbers, questioning the well-mixing assumption in the current paradigm of reactive transport modelling. However, proving the existence of chaotic mixing in porous rocks has yet remained unresolved. Here, we present preliminary results on the existence of chaotic microscale trajectories, i.e., fluid stretching and folding, not only in bead packs but also in natural rocks by conducting 3D (relatively) high-resolution X-ray tomography. Using a purpose-built core holder and highly permeable porous media enabled us to reach very high Peclet numbers during the co-injection of two miscible highly viscous fluids. The high Peclet numbers are essential to image chaotic trajectories in the pores at the interface between the two fluids before molecular diffusion obscures the deformation of fluid fronts. The existence of such trajectories leads to substantially enhanced microscale concentration gradients that could result in chemical reaction rates deviating from those predicted by reactive transport models. Insights gained from this study, combined with fast, high-resolution, low-noise synchrotron imaging will allow us to develop an in-depth understanding of mechanisms and factors controlling chaotic mixing and accordingly derive kinematic models for improved modelling and prediction purposes.
Date Issued
2024-09-09
Date Acceptance
2024-08-10
Citation
2024
Copyright Statement
Copyright © 2024 The Author(s).
Source
7th Interpore UK Chapter Meeting
Subjects
Chaotic mixing
CT imaging
Porous media
Reactive transport
Publication Status
Published
Start Date
2024-09-09
Finish Date
2024-09-10
Coverage Spatial
University of Manchester