eprintid: 8784
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/87/84
datestamp: 2023-11-09 16:20:42
lastmod: 2023-11-09 16:20:42
status_changed: 2023-11-09 16:13:31
type: article
metadata_visibility: show
creators_name: Abbasi, A.
creators_name: Hashim, F.M.
title: Development of a hydrate formation prediction model for sub-sea pipeline
ispublished: pub
keywords: Forecasting; Hydration; Methane; Optimization; Pipelines; Statistical methods, Deepwater pipelines; Empirical equations; Hydrate formation temperatures; Hydrate forming conditions; Intelligent optimization algorithm; Optimization algorithms; Optimization techniques; Temperature and pressures, Gas hydrates
note: cited By 5
abstract: 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.
date: 2017
publisher: Taylor and Francis Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020126147&doi=10.1080%2f10916466.2016.1263210&partnerID=40&md5=96de48bf5606da9b1be0d142ce2441aa
id_number: 10.1080/10916466.2016.1263210
full_text_status: none
publication: Petroleum Science and Technology
volume: 35
number: 5
pagerange: 443-450
refereed: TRUE
issn: 10916466
citation:   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.  ISSN 10916466