Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems

Low salinity waterflooding appears to be a cost-effective and environmentally friendly means to improve oil recovery by increasing hydrophilicity. However, the controlling factor(s) behind this process remains unclear. This research characterized wettability of oil-brine-rock system from nano to por...

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Main Author: Chen, Yongqiang
Format: Thesis
Published: Curtin University 2019
Online Access:http://hdl.handle.net/20.500.11937/78325
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author Chen, Yongqiang
author_facet Chen, Yongqiang
author_sort Chen, Yongqiang
building Curtin Institutional Repository
collection Online Access
description Low salinity waterflooding appears to be a cost-effective and environmentally friendly means to improve oil recovery by increasing hydrophilicity. However, the controlling factor(s) behind this process remains unclear. This research characterized wettability of oil-brine-rock system from nano to pore scale through a combination of experiments and geochemical modelling, providing insights to better model multiphase flow at subsurface. New findings can also help to constrain the intrinsic uncertainties of CO2-assisted EOR with respect to wettability alteration.
first_indexed 2025-11-14T11:11:45Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:11:45Z
publishDate 2019
publisher Curtin University
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spelling curtin-20.500.11937-783252020-03-19T04:01:45Z Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems Chen, Yongqiang Low salinity waterflooding appears to be a cost-effective and environmentally friendly means to improve oil recovery by increasing hydrophilicity. However, the controlling factor(s) behind this process remains unclear. This research characterized wettability of oil-brine-rock system from nano to pore scale through a combination of experiments and geochemical modelling, providing insights to better model multiphase flow at subsurface. New findings can also help to constrain the intrinsic uncertainties of CO2-assisted EOR with respect to wettability alteration. 2019 Thesis http://hdl.handle.net/20.500.11937/78325 Curtin University fulltext
spellingShingle Chen, Yongqiang
Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title_full Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title_fullStr Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title_full_unstemmed Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title_short Geochemical Modelling to Characterize Wettability of Oil-Brine-Rock Systems
title_sort geochemical modelling to characterize wettability of oil-brine-rock systems
url http://hdl.handle.net/20.500.11937/78325