Development of a hydrate formation prediction model for sub-sea pipeline

In this research work, a novel model is developed to the hydrate formation pressure and hydrate formation temperature for a single component of methane (CH4) gas. This research model holds at a temperature and pressure of real-time data for pure water, methane, and other mixtures of gases, respectiv...

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Main Authors: Abbasi, A., Hashim, F.M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19577 /
Published: Taylor and Francis Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020126147&doi=10.1080%2f10916466.2016.1263210&partnerID=40&md5=96de48bf5606da9b1be0d142ce2441aa
http://eprints.utp.edu.my/19577/
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spelling utp-eprints.195772018-04-20T07:10:52Z Development of a hydrate formation prediction model for sub-sea pipeline Abbasi, A. Hashim, F.M. In this research work, a novel model is developed to the hydrate formation pressure and hydrate formation temperature for a single component of methane (CH4) gas. This research model holds at a temperature and pressure of real-time data for pure water, methane, and other mixtures of gases, respectively. Furthermore, the modelling and statistical analysis conducted in this research were divided into three major segments; the assessment of the computability of the mathematical models, the performance of the proposed optimization techniques, and the comparison of the proposed techniques with real-time data of gas pipeline. Results showed that the improved optimization algorithms are in admirable compliance with the real-time data. These correlations are providing the capability to predict gas-hydrate-forming conditions for a wide range of hydrate formation data. © 2017 Taylor & Francis Group, LLC. Taylor and Francis Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020126147&doi=10.1080%2f10916466.2016.1263210&partnerID=40&md5=96de48bf5606da9b1be0d142ce2441aa Abbasi, A. and Hashim, F.M. (2017) Development of a hydrate formation prediction model for sub-sea pipeline. Petroleum Science and Technology, 35 (5). pp. 443-450. http://eprints.utp.edu.my/19577/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this research work, a novel model is developed to the hydrate formation pressure and hydrate formation temperature for a single component of methane (CH4) gas. This research model holds at a temperature and pressure of real-time data for pure water, methane, and other mixtures of gases, respectively. Furthermore, the modelling and statistical analysis conducted in this research were divided into three major segments; the assessment of the computability of the mathematical models, the performance of the proposed optimization techniques, and the comparison of the proposed techniques with real-time data of gas pipeline. Results showed that the improved optimization algorithms are in admirable compliance with the real-time data. These correlations are providing the capability to predict gas-hydrate-forming conditions for a wide range of hydrate formation data. © 2017 Taylor & Francis Group, LLC.
format Article
author Abbasi, A.
Hashim, F.M.
spellingShingle Abbasi, A.
Hashim, F.M.
Development of a hydrate formation prediction model for sub-sea pipeline
author_sort Abbasi, A.
title Development of a hydrate formation prediction model for sub-sea pipeline
title_short Development of a hydrate formation prediction model for sub-sea pipeline
title_full Development of a hydrate formation prediction model for sub-sea pipeline
title_fullStr Development of a hydrate formation prediction model for sub-sea pipeline
title_full_unstemmed Development of a hydrate formation prediction model for sub-sea pipeline
title_sort development of a hydrate formation prediction model for sub-sea pipeline
publisher Taylor and Francis Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020126147&doi=10.1080%2f10916466.2016.1263210&partnerID=40&md5=96de48bf5606da9b1be0d142ce2441aa
http://eprints.utp.edu.my/19577/
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score 11.62408

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