DOI: 10.1088/1742-6596/1802/2/022005 View full text |Buy / Rent full text

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

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles