PREDICTION OF KINEMATIC VISCOSITY OF VACUUM RESIDUE AND REFINERY HEAVY PRODUCT BLENDS

摘要

Method and system for predicting kinematic viscosity at predetermined temperature for optimizing crude oil selection is described. The method includes receiving physical parameters of a crude oil by a processor (102). The physical parameters of the crude oil include at least one of Vacuum Residue yield and Conradson Carbon Residue (CCR) content. The kinematic viscosity of a fraction of the crude oil is determined and generated using the physical parameters. The first correlation model is developed by coefficients obtained by regression analysis between the physical parameters of crude oil and kinematic viscosity of vacuum residue of the crude oil. The predicted kinematic viscosity is used for estimating an amount of cutter stock to be used in crude oil processing.