April 2001

Process Analyzers

Dynamic monitoring system for FCCU product qualities

Neural network technology increased light oil product recovery

Chen, B., He, X., Xu, Q., Department of Chemical Engineering, Tsingshua University

A new online dynamic monitoring system (DMS) for a fluid catalytic cracking (FCC) process tested well in a real refinery of Shi Jia-Zhuang Petroleum Refinery in China. The system, combining advanced artificial neural network (ANN) technology and a computer integrated system, is used for online product quality monitoring of an FCC main fractionator. The product qualities are stable gasoline, Reid vapor pressure (Rvp), crude gasoline dry point and diesel oil pour point. Main models used in the DMS are described. The DMS system performance provided stable process operation and economic benefits. Results showed a 0.6% increase in total light oil product recovery, which correspond

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