Ali Shaeri
The National Iranian Oil Engineering & Construction Co., Iran
Title: Increasing research octane number in a catalytic reforming unit by employing artificial neural network
Biography
Biography: Ali Shaeri
Abstract
Detailed operating condition were gathered from a live CCR unit (Lab. And DCS) for two years. The most significant parameters were selected by both simulation and experience. To increase RON, ANFIS models were designed and applied obtained results to the live CCR unit with the capacity of 30000 bbl day-1. The R2 and MSE of the proposed model were 0.92583 and 0.1424, respectively. It was found in the optimum operation conditions, the value of reformate product was 25714 bbl day-1.Obtained data from ANFIS for Feed final boiling point (FBP) , Recycle gas flow rate (RGF) , Reactor inlet temperature (RIT) , Coke percentage on catalyst (CPC), Catalyst circulation and H2 to HC mole ratio(H2/HC) were 165C,24.2tonhr-1,527C,2.42wt%,987.24kghr-1 and 2.82, respectively .Applying the ANFIS data resulted in an increase of RON amount, from 99 to 99.7, which can be addressed significant in terms of the unit economy. In addition, it was observed that about 640bblday-1 saved in the gasoline pool of the refinery.