Verifying pore network models of imbibition in rocks using time‐resolved synchrotron imaging
File(s)2019WR026587.pdf (4.32 MB)
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
At the pore scale, slow invasion of a wetting fluid in porous materials is often modeled with quasi‐static approximations which only consider capillary forces in the form of simple pore‐filling rules. The appropriateness of this approximation, often applied in pore network models, is contested in the literature, reflecting the difficulty of predicting imbibition relative permeability with these models. However, validation by sole comparison to continuum‐scale experiments is prone to induce model overfitting. It has therefore remained unclear whether difficulties generalizing the model performance are caused by errors in the predicted filling sequence or by subsequent calculations. Here, we address this by examining whether such a model can predict the pore‐scale fluid distributions underlying the behavior at the continuum scale. To this end, we compare the fluid arrangement evolution measured in fast synchrotron micro‐CT experiments on two rock types to quasi‐static simulations which implement capillary‐dominated pore filling and snap‐off, including a sophisticated model for cooperative pore filling. The results indicate that such pore network models can, in principle, predict fluid distributions accurately enough to estimate upscaled flow properties of strongly wetted rocks at low capillary numbers.
Date Issued
2020-06-11
Date Acceptance
2020-05-09
Citation
Water Resources Research, 2020, 56 (6), pp.1-13
ISSN
0043-1397
Publisher
American Geophysical Union (AGU)
Start Page
1
End Page
13
Journal / Book Title
Water Resources Research
Volume
56
Issue
6
Copyright Statement
©2020. The Authors.
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Identifier
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019WR026587
Subjects
0406 Physical Geography and Environmental Geoscience
0905 Civil Engineering
0907 Environmental Engineering
Environmental Engineering
Publication Status
Published
Date Publish Online
2020-05-24