2018
DOI: 10.1016/j.fluid.2017.06.016
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Prediction of the water/oil interfacial tension from molecular simulations using the coarse-grained SAFT-γ Mie force field

Abstract: This work is framed within the Ninth Industrial Fluid Properties Simulation Challenge, with the aim of assessing the capability of molecular simulation methods and force fields to accurately predict the interfacial tension of oil + water mixtures at high temperatures and pressures. The challenge focused on predicting the liquid-liquid interfacial tension of binary mixtures of dodecane + water, toluene + water and a 50:50 (wt%) mixture of dodecane:toluene + water at 1.825 MPa (250 psig) and temperatures from 11… Show more

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Cited by 48 publications
(54 citation statements)
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“…A thickness of 1 nm is used and is consistent with Molecular Dynamics simulations of the density prole across an oil/water interface. 42 Bulk and surface concentrations Fig. 2.…”
Section: Simulation Geometrymentioning
confidence: 99%
“…A thickness of 1 nm is used and is consistent with Molecular Dynamics simulations of the density prole across an oil/water interface. 42 Bulk and surface concentrations Fig. 2.…”
Section: Simulation Geometrymentioning
confidence: 99%
“…This connection facilitates the direct estimation of effective force field parameters by fitting the resulting equation of state to a wide a range of thermophysical properties without the need to perform extensive simulations. To date, the SAFT force field has been used successfully in the prediction of the behavior of crude oils in bulk [81,82] and confined reservoirs [83], high pressure oil/water interfacial tensions [84], adsorption [85], and the wetting behavior of surfactant solutions on surfaces [56,86], amongst others.…”
Section: Coarse-grained MD Simulationmentioning
confidence: 99%
“…In practice, the EoS offers an accurate fit for the force-field parameters, where the key nonbonded interactions are expressed by means of the Mie potential (Equation (6)). The macroscopically observed thermophysical properties that stem from the fluid-fluid and fluid-solid interactions are well reproduced by the model, which is a direct consequence of the close match between the theory and the underlying Hamiltonian of the system [65][66][67]95,101,[106][107][108][109]. The SAFT approach derives robust and transferable potentials of effective beads that represent groups of atoms as in the case of the MARTINI model.…”
Section: Statistical Associating Fluid Theory Modelmentioning
confidence: 95%