سومین همایش ملی نفت، گاز و پتروشیمی , 2014-03-04

Title : ( Artificial Neural Network (ANN) to Predict the Reaction Furnace Temperature )

Authors: samer asadi , Mohammad Taghi Hamed Mosavian , Ali Ahmadpour ,

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An artificial neural network (ANN) was developed on MATLAB platform for predicting the reaction furnace temperature. Three important variable of the reaction furnace: fuel gas spiking, air and acid gas temperature and H2S concentration were fed as input into the ANN model, separately, while the reaction furnace temperature was the output. A three layer feed forward artificial neural network (ANN) model having one input neurons, one output neuron and three hidden neurons was developed to predict the reaction furnace temperature. A good agreement between the measured and the predicted values was obtained. The resulting ANN shows satisfactory prediction of the reaction furnace temperature with R2 above the 9.06

Keywords

, Claus unit, ANN model, H2S concentration, air and acid gas temperature, fuel gas
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@inproceedings{paperid:1060726,
author = {Asadi, Samer and Hamed Mosavian, Mohammad Taghi and Ahmadpour, Ali},
title = {Artificial Neural Network (ANN) to Predict the Reaction Furnace Temperature},
booktitle = {سومین همایش ملی نفت، گاز و پتروشیمی},
year = {2014},
location = {گچساران, IRAN},
keywords = {Claus unit; ANN model; H2S concentration; air and acid gas temperature; fuel gas flow},
}

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%0 Conference Proceedings
%T Artificial Neural Network (ANN) to Predict the Reaction Furnace Temperature
%A Asadi, Samer
%A Hamed Mosavian, Mohammad Taghi
%A Ahmadpour, Ali
%J سومین همایش ملی نفت، گاز و پتروشیمی
%D 2014

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