characterization of south pars gas condensates by physicochemical properties and multivariate modeling

In this work, the physicochemical properties were combined with the multivariate statistical techniques (factor analysis and correlation analysis) aimed at characterizing different south pars gas condensate samples. a total of 224 samples from four phases (i.e., ph 1, ph 4,5, ph 9,10 and ph 12) of south pars gas field, a non-associated gas reservoir in the persian gulf between iran and qatar, were collected, and five physicochemical parameters including reid vapor pressure, specific gravity, initial boiling point, mercaptan sulfur and total sulfur were analyzed in order to identify the reservoir origin of gas condensate samples. the factor analysis results showed that the two rotated factors explain 88.9% of the original information. the first factor is linked to total sulfur, mercaptan sulfur and specific gravity and has a significant effect to differentiate between the condensate samples of the four phases. the second factor, which is attributed to reid vapor pressure and initial boiling point, has a small impact on the characterization of four groups, and it is more related to the within variance of each group. the results showed that the gas condensate samples were correctly and clearly differentiated into four groups according to reservoir origin.