Statistical methods for reservoir fluid composition distribution analysis

Abstract

ABSTRACT This paper presents statistical methods for analyzing the molar distribution of components in petroleum fluids. Reservoir fluid characterization is very significant in Equation of State modeling and in some flow assurance- related problems. Heptanes plus components (C7+) are usually lumped together as a pseudo-component, hence, characterizing it improves modeling. Three statistical methods were assumed for analyzing the distribution of components using two reservoir fluid data. The statistical methods selected were validated for best fit of the molar distribution data using methods including the Kolmogorov–Smirnov test. The goodness of fit for each test is presented. A new model showing the relationship while using data of Kolmogorov–Smirnov test is presented with high r 2.