ABSTRACT
Phase behavior modeling of a reservoir hydrocarbon mixture through an equation-of-state, EOS, is preceded by the adjustment of some of the parameters in the equation so as to reproduce measured PVT data of the mixture. In this paper we propose a methodology for the automatic fitting of EOS parameters for phase behavior matching.
Critical properties of the heaviest, C+, fraction are obtained from available correlations and fitting of EOS parameters, and , for CH4 and C+ as well as of the binary interaction coefficient, , are performed according to the following procedure: First, keeping the theoretical values of and , we calculate the interaction coefficient that matches the saturation pressure of the mixture. In a second step, the parameters and for the CH4 and C+ fractions are fitted through a non-linear least squares regression technique to match PVT experimental data in the one-phase region. Peculiarities of the system of equations produced by the fitting algorithm are discussed; proper solution techniques are discussed as well.
The above procedure was used to adjust the Peng-Robinson EOS to four reservoir hydrocarbon fluid samples, which include gas condensate. Phase behavior in the two-phase region predicted with the EOS was verified to match PVT laboratory data obtained under flash and differential liberation processes. It was verified that the interaction coefficient, is the relevant parameter for saturation pressure matching. Analysis of regressed parameters indicate, in all four applications, that relevant parameters in the non-linear regression fitting are and of the CH4, fraction.