Crude Oil Blending Process Optimization with Precise Consideration of Fraction Properties

Abstract

Abstract Crude oil blending process is an integral part of the petroleum supply chain, including multiple industrial processes such as crude oil distribution, transportation, storage and blending in the production process of refinery enterprises. The optimization of crude oil blending process scheduling has high academic and industrial application value, and its related research work is currently a hot topic of academic interest. However, there are still urgent problems to be solved in the current research work. Crude oil blending process not only needs to consider a variety of delivery and distribution of crude oil, but also considers the constraint conditions that the blended product meets the production demand. Therefore, based on the continuous-time representation, a crude oil blending optimization model that precisely considers the properties of the fraction is proposed in this paper. Firstly, the important achievements in the research field of crude oil blending process optimization are briefly introduced, and the development trend and defects of the current research work are summarized. Subsequently, the MINLP model is described in detail. The model especially considers the properties demand and supply demand of mixed products in the secondary process. Finally, we verified the effectiveness of the proposed model in solving the actual blending formula optimization problem. The simulation results of a real case of a fuel refinery show that a product formulation is used to optimize the crude oil blending process, which can effectively improve the overall yield of petroleum fractions while meeting the demands of the secondary processing device.