Patent Document ID: 9846147
Application ID: 14005425
Patent Flag: 1

Claim One:
1. A method for predicting a refining characteristic of an oil sample of an unknown oil for planning, controlling, and optimizing refinery operation of the unknown oil, the method comprising: receiving values for a plurality of physical properties of the oil sample, wherein the plurality of physical properties includes carbon residue content measured by at least one of Conradson Carbon Residue (CCR) content, Ramsbottom Carbon Residue (RCR) and Micro Carbon Residue (MCR), and at least one other parameter selected from American Petroleum Institute (API) Gravity and Sulphur content; and determining the refining characteristic of the oil sample based on a prediction model by using the received values as an input to the prediction model, wherein determining the refining characteristic includes deriving a yield profile with respect to temperature ranges of the oil sample, wherein the yield profile includes yield profile for distillates and the distillates include at least one of Naphtha, Kerosene, Gas oil, and Vacuum Gas oil, wherein an increase in Naphtha and Kerosene production is positively correlated to API gravity and Sulphur content and negatively correlated to Carbon Residue Content, wherein the prediction model is based on coefficients of regression obtained from correlating the refining characteristic with the plurality of physical properties for known crude oils, and outputting the refining characteristic on a display or in a report, wherein the refining characteristic is a characteristic of the unknown oil, and controlling and optimizing refinery operation of the unknown oil based on the determined refining characteristic and the yield profile, wherein the optimizing refinery operation of unknown oil comprises using the refining characteristic, to accurately make financial and operational business decisions such that greater profitability is achieved.