Imperial College London

Dr Qingyang Lin

Faculty of EngineeringDepartment of Earth Science & Engineering

Visiting Researcher
 
 
 
//

Contact

 

+44 (0)20 7594 9982q.lin11 Website

 
 
//

Location

 

RSM 440/7Royal School of MinesSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Blunt:2021:10.2118/206202-MS,
author = {Blunt, M and Kearney, L and Alhosani, A and Lin, Q and Bijeljic, B},
doi = {10.2118/206202-MS},
title = {Wettability characterization from pore-scale images using topology and energy balance with implications for recovery and storage},
url = {http://dx.doi.org/10.2118/206202-MS},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We present two methods to measure contact angles inside porous media using high-resolution images. The direct determination of contact angle at the three-phase contact line is often ambiguous due to uncertainties with image segmentation. Instead, we propose two alternative approaches that provide an averaged assessment of wettability. The first uses fundamental principles in topology to relate the contact angle to the integral of the Gaussian curvature over the fluid-fluid meniscus. The advantage of this approach is that it replaces the uncertain determination of an angle at a point with a more accurate determination of an integral over a surface. However, in mixed-wet porous media, many interfaces are pinned with a hinging contact angle. For predictive pore-scale models, we need to determine the contact angle at which displacement occurs when the interfaces move. To address this problem we apply an energy balance, ignoring viscous dissipation, to estimate the contact angle from the meniscus curvature and changes in interfacial areas and saturation. We apply these methods to characterize wettability on pore-scale images of two- and three-phase flow. We also discuss the implications of the results for recovery and storage applications.
AU - Blunt,M
AU - Kearney,L
AU - Alhosani,A
AU - Lin,Q
AU - Bijeljic,B
DO - 10.2118/206202-MS
PY - 2021///
TI - Wettability characterization from pore-scale images using topology and energy balance with implications for recovery and storage
UR - http://dx.doi.org/10.2118/206202-MS
ER -