Interfacial diffusive exchanges are directly related to the diffusion coefficients. These coefficients may be obtained through experimental data or by using correlations, which should be selected according to the system conditions, such as temperature and pressure, and the chemical nature of the species in the mixture. In this work, the calculation of the diffusive rates in a two-phase flow composed by a multicomponent mixture of methane, n-pentane, n-hexane and n-octane was carried out using the effective diffusivity model. The theoretical equation of Chapman-Enskog and the empirical correlations of Gilliland, Slattery-Bird, Fuller-Schettler-Giddings (FSG) and Huang et al. (HEA) were applied to estimate the diffusion coefficients in vapor phase. The Euler-Lagrange approach was adopted to model the two-phase flow using CFD techniques. The results showed that the correlations predicted the diffusion coefficients with similar precision for this mixture.