October 27, 2020

OEA148P-In-line blending optimization based on neural network modeling

This topic discusses the neural network modeling method for the in-line blending optimization for crude and fuel blending systems.

  • Suresh Agrawal
    Suresh Agrawal
    Contributor

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This topic discusses the neural network modeling method for the in-line blending optimization for crude and fuel blending systems.

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SKU: OEA148P Category:

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.

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