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Development of Model Equations for Predicting Gasoline Blending Properties
American Journal of Chemical Engineering
Volume 3, Issue 2-1, March 2015, Pages: 9-17
Received: Jan. 7, 2015; Accepted: Jan. 8, 2015; Published: Jan. 19, 2015
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M. K. Oduola, Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria; Centre for Gas, Refining and Petrochemicals, Institute of Petroleum Studies, University of Port Harcourt, Port Harcourt, Nigeria
A. I. Iyaomolere, Centre for Gas, Refining and Petrochemicals, Institute of Petroleum Studies, University of Port Harcourt, Port Harcourt, Nigeria
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Gasoline blending is of pertinent importance in refinery operations owing to the fact that gasoline gives about 60 - 70 % of the refinery profit. The blending process is essential to obtain gasoline in the demanded quantities and ensure property specifications are met. Two model equations, multivariable nonlinear and multivariable exponential are proposed in this study which are useful in predicting three significant properties of a motor gasoline: research octane number, reid vapour pressure and specific gravity. Gasoline blend data obtained from four different streams: straight run gasoline, straight run naphtha, reformate and fluidized catalytically cracked gasoline have been subjected to multivariate regression analysis with the aid of a statistical software to ascertain the fitness of the proposed equations in predicting the research octane number, reid vapor pressure and the specific gravity of the resulting premium motor spirit. The results of the regression analysis showed that the nonlinear multivariable models proposed gave a good fit as evidenced by the value of the coefficient of determination R2 = 0.988 & 0.994 for the research octane number, 0.853 & 0.883 for the reid vapor pressure and 0.988 for specific gravity. In conclusion, the proposed model equations were fit to the data, found to be adequate, and therefore could be used for prediction of the blend gasoline properties.
Gasoline Blends, Modeling, Petroleum Refining, Octane Number, Reid Vapor Pressure, Multivariate Regression
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M. K. Oduola, A. I. Iyaomolere, Development of Model Equations for Predicting Gasoline Blending Properties, American Journal of Chemical Engineering. Special Issue: Developments in Petroleum Refining and Petrochemical Sector of the Oil and Gas Industry. Vol. 3, No. 2-1, 2015, pp. 9-17. doi: 10.11648/j.ajche.s.2015030201.12
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