Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Low-salinity fines-assisted waterflooding: multiscale analytical and numerical modelling|
|Citation:||Proceedings of the 2017 SPE Reservoir Characterisation and Simulation Conference and Exhibition, 2017, pp.249-266|
|Publisher:||Society of Petroleum Engineers|
|Conference Name:||SPE Reservoir Characterisation and Simulation Conference and Exhibition (RCSC 2017) (8 May 2017 - 10 May 2017 : Abu Dhabi, UAE)|
|S. Borazjani, A. Behr, L. Genolet, P. Kowollik, Z. You, P. Bedrikovetsky|
|Abstract:||The aim of this work is the development of mathematical models for oil–water flow with varying injected water compositions in oil reservoirs. The model accounts for two main mechanisms of low salinity waterflooding (LSW): wettability alteration and salinity-variation-induced fines migration. Analytical and numerical models are developed and applied to low salinity fines-assisted core flood tests. In large reservoir scale, the general system of equations permits for an analytical solution. The solution is obtained by recently developed splitting technique, where the stream function is used as a variable instead of time. Large-scale approximation assumes that six dimensionless groups for dissipative and non-equilibrium effects are negligibly small. Numerical results are obtained for the general system, which accounts for dissipative and non-equilibrium effects. The effects of fines migration and wettability variation on oil recovery are discovered as two separate mechanisms in LSW. The significant EOR-effects of both mechanisms are observed under the typical oil reservoir conditions.|
|Description:||Document ID: SPE-186070-MS|
|Rights:||Copyright 2017, Society of Petroleum Engineers|
|Appears in Collections:||Aurora harvest 8|
Australian School of Petroleum publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.