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Asian Journal of Scientific Research
Year: 2011  |  Volume: 4  |  Issue: 2  |  Page No.: 95 - 113

Improving Oil Refinery Productivity through Enhanced Crude Blending using Linear Programming Modeling

M.K. Hassan, A. Kandeil and A. Elkhayat    

Abstract: Linear Programming (LP) models and technique among various mathematical optimization techniques have evolved through the years to optimize the crude blending and refining operations. The operations may include the crude evaluation, selection, scheduling and product logistics planning. The objective of this study was to develop a mathematical programming model for solving a blending problem in a major refinery in Alexandria, Egypt with the objective of maximizing Naphtha productivity. Refinery planning and optimization is basically addressed through special purpose linear programming software packages that remain a black box for the users and that are very costly for the organizations. The model developed in this work was proved to be highly effective at the level of solving the blending problem. This study has shown that the developed linear programming model for the blending problem has yielded better overall Naphtha productivity for the case of the oil refinery studied, as compared to results obtained by the commercial software.

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