Abstract:Low-sulfur gasoline has become the world’s fuel development trend. However, the existing technology generally reduces the gasoline octane number in the process of desulfurization and olefin reduction of FCC gasoline. How to predict the octane loss of gasoline is very important for subsequent related research. This paper analyzes and screens the refinery data of chemical plants, builds a neural network-based gasoline octane loss prediction model, inputs 12 main operating variables to predict the octane loss, an… Show more
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