Imperial College London

DrSteffenBerg

Faculty of EngineeringDepartment of Earth Science & Engineering

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steffen.berg Website

 
 
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Location

 

1M10cACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bultreys:2020:10.1029/2019wr026587,
author = {Bultreys, T and Singh, K and Raeini, AQ and Ruspini, LC and Øren, P and Berg, S and Rücker, M and Bijeljic, B and Blunt, MJ},
doi = {10.1029/2019wr026587},
journal = {Water Resources Research},
pages = {1--13},
title = {Verifying pore network models of imbibition in rocks using timeresolved synchrotron imaging},
url = {http://dx.doi.org/10.1029/2019wr026587},
volume = {56},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - At the pore scale, slow invasion of a wetting fluid in porous materials is often modeled with quasistatic approximations which only consider capillary forces in the form of simple porefilling 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 continuumscale 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 porescale fluid distributions underlying the behavior at the continuum scale. To this end, we compare the fluid arrangement evolution measured in fast synchrotron microCT experiments on two rock types to quasistatic simulations which implement capillarydominated pore filling and snapoff, 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.
AU - Bultreys,T
AU - Singh,K
AU - Raeini,AQ
AU - Ruspini,LC
AU - Øren,P
AU - Berg,S
AU - Rücker,M
AU - Bijeljic,B
AU - Blunt,MJ
DO - 10.1029/2019wr026587
EP - 13
PY - 2020///
SN - 0043-1397
SP - 1
TI - Verifying pore network models of imbibition in rocks using timeresolved synchrotron imaging
T2 - Water Resources Research
UR - http://dx.doi.org/10.1029/2019wr026587
UR - https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019WR026587
UR - http://hdl.handle.net/10044/1/80353
VL - 56
ER -