A newly
developed CO2–brine interfacial tension
(IFT) correlation based on the alternating condition expectation (ACE)
algorithm has been successfully proposed to more accurately estimate
the CO2–brine IFT for a wide range of reservoir
pressure, temperature, formation water salinity and injected gas composition.
The new CO2–brine correlation is expressed as a
function of reservoir pressure, temperature, monovalent cation molalities
(Na+ and K+), bivalent cation molalities (Ca2+ and Mg2+), N2 mole fraction and CH4 mole fraction in injected gas. This prediction model is originated
from a CO2–brine IFT database from the literature
that covers 1609 CO2–brine IFT data for pure and
impure CO2 streams. To test the validity and accuracy of
the developed CO2–brine IFT model, the entire dataset
was divided into two groups: a training database consisting of 805
points and a testing dataset consisting of 804 points, which was arbitrarily
selected from the total database. To further examine its predicted
capacity, the new CO2–brine IFT correlation is validated
with four commonly used pure CO2–pure water IFT
correlations in the literature, it is found that the new CO2–brine IFT correlation provides the comprehensive and accurate
reproduction of the literature pure CO2–pure water
IFT data with an average absolute relative error (% AARE) of 12.45%
and standard deviation (% SD) of 18.57%, respectively. In addition,
the newly developed CO2–brine IFT correlation results
in the accurate prediction of the CO2–brine IFT
with a % AARE of 10.19% and % SD of 13.16%, respectively, compared
to two CO2–brine IFT correlations. Furthermore,
sensitivity analysis was performed based on the Spearman correlation
coefficients (rank correlation coefficients). The major factor influenced
on the CO2–brine IFT is reservoir pressure, which
has a major negative impact on the CO2–brine IFT.
In contrast, the effects of CO2 impurities and salt components
in the water on the CO2–brine IFT are in the following
order in terms of their positive impact: bivalent cation molalities
(Ca2+ and Mg2+), CH4, N2, and monovalent cation molalities (Na+ and K+).