This study aims to evaluate the performance of the four most known screening methods used to predict the risk of asphaltene precipitation in crude oil employing a large database from the literature. The selection of these methods was based on the amount of property data required for their application. Most methods reported in the literature use saturate, aromatic, resin, and asphaltene (SARA) analysis as the property to monitor the stability of the oil with respect to asphaltene precipitation. Other methods require the temperature, pressure, and oil density data to indicate the risk of asphaltene precipitation. Results showed inconsistency for two of the four screening methods selected, and improvements were proposed and successfully validated.

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This work investigates the saturation pressure of crude oil−CO 2 mixtures and how the oil plus-fraction characterization methods affect it. Different distribution functions were tested to split the plus-fraction as well as correlations to calculate the critical parameters and the acentric factor. The Soave−Redlich−Kwong (SRK) equation of state was used to calculate the saturation pressure of the crude oil and its mixtures with pure and impure CO 2 . The results were compared with experimental data and reveal that the effect of the characterization methods on the modeling of the saturation pressure of reservoir fluids is strong mainly for CO 2 molar fraction values higher than 50%. Article pubs.acs.org/jced