Optimum Blending of Crude Oils Using Linear Programming


Hesham A. Hegazy, M. H. M. Hassanean, Abeer M. Shoaib
Chemical Engineering and Petroleum Refinery Department, Faculty of petroleum and Mining Engineering, Suez University, Egypt.


Crude oil blending is an important operation that provides flexibility for refineries with increasing operational complexity and constant change in feedstocks. The focus of the present work is to optimize the crude oil blending strategy that feed the atmospheric distillation units in a plant that has to deliver a certain amount of long residue with some limitations on its quantity and quality; at the same time, it has a fixed bed reformer and aims to maximize its overall profit. Linear programming model is used to achieve the proposed targets subject to the blended crude oil constrains affecting the required long residue. Two constrains are assigned to monitor the stability and the compatibility of the blended crude oil. The optimum crude oil blend was obtained according to different scenarios for domestic consumptions of petroleum products, providing the maximum profit and fulfilling the required quantity and quality of the straight run fuel oil (long residue). An Egyptian case study has been introduced and solved in that work. Shrinkage loss reasonability has been tested for the resulted quantities of crude oils in each scenario.