PREDICTION OF REFINING CHARACTERISTICS OF OIL

摘要

Method(s) and a system for predicting the refining characteristics of an oil sample are described. The method of predicting the refining characteristics, such as distillate yield profile, processability, product quality or refinery processing cost, may include development of a prediction model based on regression analysis. The method may further include determining the physical properties of the oil sample and predicting the refining characteristics based on the developed prediction model. The determination of the physical properties of the oil sample includes determining at least one of Conradson Carbon Residue (CCR) content, Ramsbottom Carbon Residue (RCR) and Micro Carbon Residue (MCR).

主权项

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 at least one of Conradson Carbon Residue (CCR) content, Ramsbottom Carbon Residue (RCR) and Micro Carbon Residue (MCR); 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 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 wherein the refining characteristic is a characteristic of the unknown oil used for planning, controlling, and optimizing refinery operation of the unknown oil.