Correlations of HTSD to TBP and Bulk Properties to Saturate Content of a Wide Variety of Crude Oils

Forty-eight crude oils with variations in specific gravity (0.782 <= SG <= 1.002), sulphur content (0.03 <= S <= 5.6 wt.%), saturate content (23.5 <= Sat. <= 92.9 wt.%), asphaltene content (0.1 <= As <= 22.2 wt.%), and vacuum residue content (1.4 <= VR <= 60.7 wt.%) were characterized with HTSD, TBP, and SARA analyses. A modified SARA analysis of petroleum that allows for the attainment of a mass balance >= 97 wt.% for light crude oils was proposed, a procedure for the simulation of petroleum TBP curves from HTSD data using nonlinear regression and Riazi's distribution model was developed, and a new correlation to predict petroleum saturate content from specific gravity and pour point with an average absolute deviation of 2.5 wt.%, maximum absolute deviation of 6.6 wt.%, and bias of 0.01 wt.% was developed. Intercriteria analysis was employed to evaluate the presence of statistically meaningful relations between the different petroleum properties and to evaluate the extent of similarity between the studied petroleum crudes. It was found that the extent of similarity between the crude oils based on HTSD analysis data could be discerned from data on the Kw characterization factor of narrow crude oil fractions. The results from this study showed that contrary to the generally accepted concept of the constant Kw characterization factor, the Kw factors of narrow fractions differ from that of crude oil. Moreover, the distributions of Kw factors of the different crudes were different.

Automated summary

This study characterized 48 crude oils using HTSD, TBP, and SARA analyses. A modified SARA analysis for petroleum was proposed, a procedure to simulate petroleum TBP curves from HTSD data was developed, and a new correlation to predict petroleum saturate content was established. Intercriteria analysis was used to evaluate the relations between different petroleum properties and the similarity between crude oils.