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Lookup NU author(s): Dr Jie ZhangORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Taylor & Francis Inc., 2018.
For re-use rights please refer to the publisher's terms and conditions.
The aim of this paper is to predict the equilibrium water dew point of naturalgas in TEG dehydration process using feedforward artificial neural network(FANN). The ANN model shows a good result as the coefficient ofdetermination of 0.9989 and 0.9976 was obtained for training and testingdata respectively with relatively small value of mean square errors of0.0203 and 0.0221. 0.5% of average absolute deviation percentage wasobserved which is comparable with the literatures. It clearly shows thatFANN gives a good prediction on water dew point of natural gas in TEGdehydration process.
Author(s): Ahmad Z, Bahadori A, Zhang J
Publication type: Article
Publication status: Published
Journal: Petroleum Science and Technology
Print publication date: 01/10/2018
Online publication date: 17/08/2018
Acceptance date: 01/08/2018
Date deposited: 12/10/2018
ISSN (print): 1091-6466
ISSN (electronic): 1532-2459
Publisher: Taylor & Francis Inc.
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