Title

Prediction of equilibrium water dew point of natural gas in TEG dehydration systems using Bayesian Feedforward Artificial Neural Network (FANN)

Document Type

Article

Publication details

Ahmad, Z, Bahadori, A & Zhang, J 2018, 'Prediction of equilibrium water dew point of natural gas in TEG dehydration systems using Bayesian Feedforward Artificial Neural Network (FANN)', Petroleum Science and Technology, vol. 36, no. 20, pp. 1620-1626.

Published version available from:

https://dx.doi.org/10.1080/10916466.2018.1496108

Peer Reviewed

Peer-Reviewed

Abstract

The aim of this paper is to predict the equilibrium water dew point of natural gas in TEG dehydration process using feedforward artificial neural network (FANN). The ANN model shows a good result as the coefficient of determination of 0.9989 and 0.9976 was obtained for training and testing data respectively with relatively small value of mean square errors of 0.0203 and 0.0221. 0.5% of average absolute deviation percentage was observed which is comparable with the literatures. It clearly shows that FANN gives a good prediction on water dew point of natural gas in TEG dehydration process.

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