Pore-by-pore modelling, validation and prediction of waterflooding in oil-wet rocks using dynamic synchrotron data
File(s)
Published version
Author(s)
Foroughi, Sajjad
Bijeljic, Branko
Blunt, Martin J
Type
Journal Article
Abstract
We predict waterflood displacement on a pore-by-pore basis using pore network modelling. The pore structure is captured by a high-resolution image. We then use an energy balance applied to images of the displacement to assign an average contact angle, and then modify the local pore-scale contact angles in the model about this mean to match the observed displacement sequence. Two waterflooding experiments on oil-wet rocks are analysed where the displacement sequence was imaged using time-resolved synchrotron imaging. In both cases the capillary pressure in the model matches the experimentally obtained values derived from the measured interfacial curvature. We then predict relative permeability for the full saturation range. Using the optimised contact angles distributed randomly in space has little effect on the predicted capillary pressures and relative permeabilities, indicating that spatial correlation in wettability is not significant in these oil-wet samples. The calibrated model can be used to predict properties outside the range of conditions considered in the experiment.
Date Issued
2021-05-17
Date Acceptance
2021-04-28
Citation
Transport in Porous Media, 2021, 138, pp.285-308
ISSN
0169-3913
Publisher
Springer
Start Page
285
End Page
308
Journal / Book Title
Transport in Porous Media
Volume
138
Copyright Statement
© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000651022100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Chemical
Engineering
Pore network model
Validation
Micro-CT image
Two-phase flow
Optimisation
Pore-by-pore analysis
Wettability spatial correlation
MICRO-CT IMAGES
2-PHASE FLOW
POROUS-MEDIA
RELATIVE PERMEABILITY
CAPILLARY-PRESSURE
MIXED-WETTABILITY
MULTIPHASE FLOW
NETWORK MODELS
HAINES JUMPS
DISPLACEMENT
Publication Status
Published
Date Publish Online
2021-05-17