Drivers of low salinity effect in sandstone reservoirs
dc.contributor.author | Pooryousefy, E. | |
dc.contributor.author | Xie, Sam | |
dc.contributor.author | Chen, Y. | |
dc.contributor.author | Sari, A. | |
dc.contributor.author | Saeedi, Ali | |
dc.date.accessioned | 2018-01-30T08:01:19Z | |
dc.date.available | 2018-01-30T08:01:19Z | |
dc.date.created | 2018-01-30T05:59:05Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Pooryousefy, E. and Xie, S. and Chen, Y. and Sari, A. and Saeedi, A. 2018. Drivers of low salinity effect in sandstone reservoirs. Journal of Molecular Liquids. 250: pp. 396-403. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/60630 | |
dc.identifier.doi | 10.1016/j.molliq.2017.11.170 | |
dc.description.abstract |
Wettability of oil/brine/rock system is a fundamental petro-physical parameter, governing the subsurface multiphase flow behaviour, thus affecting hydrocarbon recovery. However, understanding the controlling factor(s) which drives the process is incomplete. Therefore, a detailed examination and characterization of reservoir surface forces as well as pore-surface chemistry are of vital importance. We combined contact angle, zeta potential and surface complexation modelling to demo nstrate that DLVO theory and surface complexation modelling predict the same wettability trends. Moreover, we introduced Z* parameter (Z * = | Z oil/brine + Z brine/rock |) to manage low salinity water flooding, thus mitigate the uncertainty of low salinity effect. | |
dc.publisher | Elsevier | |
dc.title | Drivers of low salinity effect in sandstone reservoirs | |
dc.type | Journal Article | |
dcterms.source.volume | 250 | |
dcterms.source.startPage | 396 | |
dcterms.source.endPage | 403 | |
dcterms.source.issn | 0167-7322 | |
dcterms.source.title | Journal of Molecular Liquids | |
curtin.department | WASM: Minerals, Energy and Chemical Engineering (WASM-MECE) | |
curtin.accessStatus | Fulltext not available |
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