Modeling of Low Salinity Effects in Sandstone Oil Rocks.
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@Article{IJNAMB-4-95,
author = {ARUOTURE VOKE OMEKEH, STEINAR EVJE, AND HELMER ANDR ́E FRIIS},
title = {Modeling of Low Salinity Effects in Sandstone Oil Rocks.},
journal = {International Journal of Numerical Analysis Modeling Series B},
year = {2013},
volume = {4},
number = {2},
pages = {95--128},
abstract = {Low salinity water has been reported as being capable of improving oil recovery in sandstone cores under certain conditions. The objective of this paper is the development
and examination of a one-dimensional mathematical model for the study of water flooding lab
experiments with special focus on the effect of low salinity type of brines for sandstone cores. The
main mechanism that is built into the model is a multiple ion exchange (MIE) process, which due
to the presence of clay, will have an impact on the water-oil flow functions (relative permeability
curves). The chemical water-rock system (MIE process) we consider takes into account desorption
and adsorption of calcium, magnesium, and sodium. More precisely, the model is formulated such
that the total release of divalent cations (calcium and magnesium) from the rock surface will give
rise to a change of the relative permeability functions such that more oil is mobilized. The release
of cations depend on several factors like (i) connate water composition; (ii) brine composition for
the flooding water; (iii) clay content/capacity. Consequently, the model demonstrates that the
oil recovery also, in a nontrivial manner, is sensitive to these factors. An appropriate numerical
discretization is employed to solve the resulting system of conservation laws and characteristic
features of the model is explored in order to gain more insight into the role played by low salinity
flooding waters, and its possible impact on oil recovery.},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnamb/248.html}
}
TY - JOUR
T1 - Modeling of Low Salinity Effects in Sandstone Oil Rocks.
AU - ARUOTURE VOKE OMEKEH, STEINAR EVJE, AND HELMER ANDR ́E FRIIS
JO - International Journal of Numerical Analysis Modeling Series B
VL - 2
SP - 95
EP - 128
PY - 2013
DA - 2013/04
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/ijnamb/248.html
KW - low salinity
KW - multiple ion exchange
KW - porous media
KW - two-phase flow
KW - convection-diffusion equations and wettability alteration
AB - Low salinity water has been reported as being capable of improving oil recovery in sandstone cores under certain conditions. The objective of this paper is the development
and examination of a one-dimensional mathematical model for the study of water flooding lab
experiments with special focus on the effect of low salinity type of brines for sandstone cores. The
main mechanism that is built into the model is a multiple ion exchange (MIE) process, which due
to the presence of clay, will have an impact on the water-oil flow functions (relative permeability
curves). The chemical water-rock system (MIE process) we consider takes into account desorption
and adsorption of calcium, magnesium, and sodium. More precisely, the model is formulated such
that the total release of divalent cations (calcium and magnesium) from the rock surface will give
rise to a change of the relative permeability functions such that more oil is mobilized. The release
of cations depend on several factors like (i) connate water composition; (ii) brine composition for
the flooding water; (iii) clay content/capacity. Consequently, the model demonstrates that the
oil recovery also, in a nontrivial manner, is sensitive to these factors. An appropriate numerical
discretization is employed to solve the resulting system of conservation laws and characteristic
features of the model is explored in order to gain more insight into the role played by low salinity
flooding waters, and its possible impact on oil recovery.
ARUOTURE VOKE OMEKEH, STEINAR EVJE, AND HELMER ANDR ́E FRIIS. (2013). Modeling of Low Salinity Effects in Sandstone Oil Rocks..
International Journal of Numerical Analysis Modeling Series B. 4 (2).
95-128.
doi:
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