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A review on the application of empirical models to hydrate formation prediction

In deepwater hydrocarbon transportation pipeline, the production may decrease and operational cost and time are increasing due to the growth rate of hydrate. The pressure of deepwater pipeline is comparatively high, so it is entirely possible to form the hydrate formation conditions and pose a major...

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Main Authors: Abbasi, A., Hashim, F.M.
Format: Conference or Workshop Item
Published: EDP Sciences 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905013809&doi=10.1051%2fmatecconf%2f20141302035&partnerID=40&md5=f17ecbacb29a8f1f7645cdd758a449bc
http://eprints.utp.edu.my/32247/
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spelling my.utp.eprints.322472022-03-29T05:02:28Z A review on the application of empirical models to hydrate formation prediction Abbasi, A. Hashim, F.M. In deepwater hydrocarbon transportation pipeline, the production may decrease and operational cost and time are increasing due to the growth rate of hydrate. The pressure of deepwater pipeline is comparatively high, so it is entirely possible to form the hydrate formation conditions and pose a major operational and safety challenge. This work provides a review on empirical models for hydrate formation prediction in deepwater gas pipeline. The correlation and empirical models are presented with the hydrate formation temperature described as a function of pressure and gas gravity. This study could possibly provide a milestone for predicting PVT and heat transfer effects on hydrate formation in deepwater pipeline. © 2014 Owned by the authors, published by EDP Sciences. EDP Sciences 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905013809&doi=10.1051%2fmatecconf%2f20141302035&partnerID=40&md5=f17ecbacb29a8f1f7645cdd758a449bc Abbasi, A. and Hashim, F.M. (2014) A review on the application of empirical models to hydrate formation prediction. In: UNSPECIFIED. http://eprints.utp.edu.my/32247/
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 In deepwater hydrocarbon transportation pipeline, the production may decrease and operational cost and time are increasing due to the growth rate of hydrate. The pressure of deepwater pipeline is comparatively high, so it is entirely possible to form the hydrate formation conditions and pose a major operational and safety challenge. This work provides a review on empirical models for hydrate formation prediction in deepwater gas pipeline. The correlation and empirical models are presented with the hydrate formation temperature described as a function of pressure and gas gravity. This study could possibly provide a milestone for predicting PVT and heat transfer effects on hydrate formation in deepwater pipeline. © 2014 Owned by the authors, published by EDP Sciences.
format Conference or Workshop Item
author Abbasi, A.
Hashim, F.M.
spellingShingle Abbasi, A.
Hashim, F.M.
A review on the application of empirical models to hydrate formation prediction
author_facet Abbasi, A.
Hashim, F.M.
author_sort Abbasi, A.
title A review on the application of empirical models to hydrate formation prediction
title_short A review on the application of empirical models to hydrate formation prediction
title_full A review on the application of empirical models to hydrate formation prediction
title_fullStr A review on the application of empirical models to hydrate formation prediction
title_full_unstemmed A review on the application of empirical models to hydrate formation prediction
title_sort review on the application of empirical models to hydrate formation prediction
publisher EDP Sciences
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905013809&doi=10.1051%2fmatecconf%2f20141302035&partnerID=40&md5=f17ecbacb29a8f1f7645cdd758a449bc
http://eprints.utp.edu.my/32247/
_version_ 1738657360728031232
score 13.160551

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