Molecular dynamics simulations and cubic equations of state of high-pressure CO2-hydrocarbon mixtures: compressibility factor and fugacity coefficient

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Authors: Juliana Souza-Rêgo, Itamar Borges, Leonardo S de B. Alves, Luiz OV. Pereira, Ligia Gaigher Franco, Jakler Nichele
Cited by: 1
References: 24

Abstract

ABSTRACT Molecular dynamics (MD) simulations were performed to investigate high-pressure thermodynamic properties of CO₂-hydrocarbon binary mixtures using different force-field strategies ‒ united atom, all atom, and hybrid combinations. Simulations were carried out in the isothermal-isobaric (NPT) ensemble to obtain molar volumes as a function of pressure and composition. As a preliminary step, four cubic equations of state were tested against available compressibility factor data, and Peng-Robinson (PR) was selected as the reference cubic framework for the subsequent analyses. MD-derived molar volumes were then coupled to PR in a hybrid workflow: compressibility factors were computed and benchmarked against experimental data, and PR-based fugacity coefficients were evaluated using either PR-predicted or MD-derived molar volumes to quantify the sensitivity of ϕ to the volume source under identical ( P,T , y ) conditions. The results show that force-field choice significantly affects high-pressure volumetric predictions, with TraPPE-based descriptions providing the closest agreement with experimental compressibility factors for CO 2 + CH 4 over the investigated conditions. Finally, effective PR mixture parameters were inferred by nonlinear least-squares fitting of the molar-volume form of PR to volumetric datasets, demonstrating that MD-generated V m ( P,T , y ) data can serve as an independent input for cubic-EoS parameter inference when experimental information or calibrated mixture parameters are limited.

Fields of Study & Subjects

Gas Dynamics and Kinetic Theory Phase Equilibria and Thermodynamics Methane Hydrates and Related Phenomena

Publication details

Journal / source
Fluid Phase Equilibria
Publisher
Elsevier BV
Volume
605
Pages
114686–114686
Publication date
24 January 2026
Language
EN