Multiphase
systems and their behaviors/characteristics appear to
be crucial in a variety of industries such as the oil and gas sector,
pharmaceutical industry, and food industry. In this paper, the mesoscale
simulation method is used to predict the interfacial behaviors of
the water/oil systems at different temperatures and salt concentrations
in the presence of a nonionic surfactant (hexaethylene glycol monododecyl
ether). Dissipative particle dynamics (DPD) is employed to model the
interfacial properties (e.g., interfacial density and interfacial
tension) and structural properties such as the radius of gyration
as a function of water/oil ratio, surfactant concentration, temperature,
and salinity of oil/surfactant/water mixtures. Molecular dynamics
(MD) simulations are carried out to estimate the Flory–Huggins
chi parameter by means of temperature-dependent solubility parameter
and cohesive energy calculations using Monte Carlo (MC) method, which
is then utilized as an input for the DPD approach. The DPD repulsive
interaction parameter (a
ij
) is also obtained from the dependence of chi parameter to temperature
using MD simulations. Both the density profiles and simulation snapshots
indicate a well-defined interface between water and oil phases, where
the thickness of the layer increases with increasing the surfactant
concentration and the peak of density becomes higher accordingly.
It is found that the radius of gyration is a weak function of salinity;
however, it increases with an increase in the surfactant concentration,
revealing that the surfactant molecules become more stretched at the
interface. By increasing the water content or water/oil ratio (WC),
the interfacial tension increases to reach a maximum value. After
the maximum interfacial tension, increasing the water/oil ratio lowers
this important parameter. According to the results of the MD simulations,
the presence of salt improves the interfacial efficiency of the surfactant
by decreasing the interfacial tension, which is in a good agreement
with the literature data. Integrating the micro- and mesoscale modeling
through chi parameter determination improves the accuracy of the calculations.
This integration also decreases the calculation time (and costs).
Employing the integrated modeling approach, the dynamic performance
of the targeted systems can be thus well-reproduced with respect to
the results reported in the literature. This research work offers
useful tips for surfactant selection as well as important results
and information on the interactions of molecules at water/oil interface,
which are central to analyze emulsion stability at different process
and thermodynamic conditions.