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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.
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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
Year: 2018
Volume: 36
Issue: 20
Pages: 1620-1626
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.
URL: https://doi.org/10.1080/10916466.2018.1496108
DOI: 10.1080/10916466.2018.1496108
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