Modeling and Optimizing a Vacuum Gas Oil Hydrocracking Plant using an Artificial Neural Network

Modeling and Optimizing a Vacuum Gas Oil Hydrocracking Plant using an Artificial Neural Network

In this research, based on actual data gathered from an industrial scale vacuum gas oil (VGO) hydrocracker and artificial neural network (ANN) method, a model is proposed to simulate yields of products including light gases, liquefied petroleum gas (LPG), light naphtha, heavy naphtha, kerosene, dies...

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Bibliographic Details
Main Authors: Sepehr Sadighi, Seyed Reza Seif Mohaddecy, Ali Abbasi
Format: Article
Language:English
Published: Universitas Indonesia 2018-01-01
Series:International Journal of Technology
Subjects:
Artificial neural network
Hydrocracking
Modeling
Optimization
Vacuum gas oil
Online Access:http://ijtech.eng.ui.ac.id/article/view/44

Internet

http://ijtech.eng.ui.ac.id/article/view/44

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