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Radial basis function network to predict gas flow rate in multiphase flow

Estimation of individual phase flow rates in multiphase flow is of great significance to production optimization and reservoir management in oil and gas industry. This paper proposes radial basis function network to develop a virtual flow meter (VFM) that can estimate gas flow rate in multiphase flo...

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Main Authors: AL-Qutami, T.A., Ibrahim, R., Ismail, I., Ishak, M.A.
Format: Article
Published: Association for Computing Machinery 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024393623&doi=10.1145%2f3055635.3056638&partnerID=40&md5=53868e959b17a687ce2c5fbbaa34aeae
http://eprints.utp.edu.my/20128/
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spelling my.utp.eprints.201282018-04-22T14:42:10Z Radial basis function network to predict gas flow rate in multiphase flow AL-Qutami, T.A. Ibrahim, R. Ismail, I. Ishak, M.A. Estimation of individual phase flow rates in multiphase flow is of great significance to production optimization and reservoir management in oil and gas industry. This paper proposes radial basis function network to develop a virtual flow meter (VFM) that can estimate gas flow rate in multiphase flow production lines. The model is validated with actual well test measurements, and testing results reveal excellent performance and generalization capability of the developed VFM. The paper also discusses the significance of bottom-hole and choke valve measurements to attain accurate predictions. Proposed VFM model potentially of fers an attractive and cost-effective solution to meet real-time production monitoring demands, and reduces operational and maintenance costs. © 2017 ACM. Association for Computing Machinery 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024393623&doi=10.1145%2f3055635.3056638&partnerID=40&md5=53868e959b17a687ce2c5fbbaa34aeae AL-Qutami, T.A. and Ibrahim, R. and Ismail, I. and Ishak, M.A. (2017) Radial basis function network to predict gas flow rate in multiphase flow. ACM International Conference Proceeding Series, Part F . pp. 141-146. http://eprints.utp.edu.my/20128/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Estimation of individual phase flow rates in multiphase flow is of great significance to production optimization and reservoir management in oil and gas industry. This paper proposes radial basis function network to develop a virtual flow meter (VFM) that can estimate gas flow rate in multiphase flow production lines. The model is validated with actual well test measurements, and testing results reveal excellent performance and generalization capability of the developed VFM. The paper also discusses the significance of bottom-hole and choke valve measurements to attain accurate predictions. Proposed VFM model potentially of fers an attractive and cost-effective solution to meet real-time production monitoring demands, and reduces operational and maintenance costs. © 2017 ACM.
format Article
author AL-Qutami, T.A.
Ibrahim, R.
Ismail, I.
Ishak, M.A.
spellingShingle AL-Qutami, T.A.
Ibrahim, R.
Ismail, I.
Ishak, M.A.
Radial basis function network to predict gas flow rate in multiphase flow
author_facet AL-Qutami, T.A.
Ibrahim, R.
Ismail, I.
Ishak, M.A.
author_sort AL-Qutami, T.A.
title Radial basis function network to predict gas flow rate in multiphase flow
title_short Radial basis function network to predict gas flow rate in multiphase flow
title_full Radial basis function network to predict gas flow rate in multiphase flow
title_fullStr Radial basis function network to predict gas flow rate in multiphase flow
title_full_unstemmed Radial basis function network to predict gas flow rate in multiphase flow
title_sort radial basis function network to predict gas flow rate in multiphase flow
publisher Association for Computing Machinery
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024393623&doi=10.1145%2f3055635.3056638&partnerID=40&md5=53868e959b17a687ce2c5fbbaa34aeae
http://eprints.utp.edu.my/20128/
_version_ 1738656167621558272
score 13.211869

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