Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs

In the last five decades, several studies have been performed on the measurement and prediction of hydrate forming conditions. Many correlations were presented in the literature, but the most of these correlations considered pure gases and their mixtures which leads to low accuracy. In additio...

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Main Author: Muhannad Talib Shuker, Dr. Muhannad
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.8107 /
Published: 2012
Subjects:
TP Chemical technology
Online Access: http://eprints.utp.edu.my/8107/1/IPTC-15492-MS-P.pdf
http://eprints.utp.edu.my/8107/
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spelling utp-eprints.81072017-03-20T01:59:32Z Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs Muhannad Talib Shuker, Dr. Muhannad TP Chemical technology In the last five decades, several studies have been performed on the measurement and prediction of hydrate forming conditions. Many correlations were presented in the literature, but the most of these correlations considered pure gases and their mixtures which leads to low accuracy. In additio, some of these correlations are presented mainly in graphical form, thus making it difficult to use them within general computer packages for simulation and design. The purpose of this work is to present a comprehence neural network model for predicting the hydrate formation conditions for pure gases and gas mixtures. the neural network model enables the user to accurately predict hydrate formation conditions for a given gas mixture, without having to do costly experimental measurements. 2012-02-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/8107/1/IPTC-15492-MS-P.pdf Muhannad Talib Shuker, Dr. Muhannad (2012) Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs. In: IPTC 2011, February 7-9, 2012, Bangkok, Thailand. http://eprints.utp.edu.my/8107/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic TP Chemical technology
spellingShingle TP Chemical technology
Muhannad Talib Shuker, Dr. Muhannad
Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
description In the last five decades, several studies have been performed on the measurement and prediction of hydrate forming conditions. Many correlations were presented in the literature, but the most of these correlations considered pure gases and their mixtures which leads to low accuracy. In additio, some of these correlations are presented mainly in graphical form, thus making it difficult to use them within general computer packages for simulation and design. The purpose of this work is to present a comprehence neural network model for predicting the hydrate formation conditions for pure gases and gas mixtures. the neural network model enables the user to accurately predict hydrate formation conditions for a given gas mixture, without having to do costly experimental measurements.
format Conference or Workshop Item
author Muhannad Talib Shuker, Dr. Muhannad
author_sort Muhannad Talib Shuker, Dr. Muhannad
title Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
title_short Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
title_full Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
title_fullStr Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
title_full_unstemmed Prediction of Solid Vapor-liquid Equilibrium in Natural Gas using ANNs
title_sort prediction of solid vapor-liquid equilibrium in natural gas using anns
publishDate 2012
url http://eprints.utp.edu.my/8107/1/IPTC-15492-MS-P.pdf
http://eprints.utp.edu.my/8107/
_version_ 1741196112370335744
score 11.62408

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