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This topic discusses the neural network modeling method for the in-line blending optimization for crude and fuel blending systems.
Description
Crude oil blending aims to get the crude for the crude unit and second product blending to obtain the final fuel products most cost-effectively. In addition, crude blending allows refineries to use opportunity crudes. However, by mixing these crudes with others, the refinery’s CDU can process the resulting mix. Optimal recipes for mixing intermediate refinery products require consideration of multiple factors, considering the constraints on the properties of the blends and the capacity limitations of the refinery infrastructure.