eprintid: 5056
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/50/56
datestamp: 2023-11-09 16:16:46
lastmod: 2023-11-09 16:16:46
status_changed: 2023-11-09 16:00:25
type: conference_item
metadata_visibility: show
creators_name: Abbasi, A.
creators_name: Hashim, F.M.
title: A review on the application of empirical models to hydrate formation prediction
ispublished: pub
keywords: Forecasting; Hydration; Water pipelines, Deepwater hydrocarbon; Empirical correlations; Function of pressure; Gravity method; Heat transfer effects; Hydrate formation; Hydrate formation conditions; Hydrate formation temperatures, Gas hydrates
note: cited By 1; Conference of 4th International Conference on Production, Energy and Reliability, ICPER 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:106620
abstract: 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.
date: 2014
publisher: EDP Sciences
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905013809&doi=10.1051%2fmatecconf%2f20141302035&partnerID=40&md5=f17ecbacb29a8f1f7645cdd758a449bc
id_number: 10.1051/matecconf/20141302035
full_text_status: none
publication: MATEC Web of Conferences
volume: 13
place_of_pub: Kuala Lumpur
refereed: TRUE
issn: 2261236X
citation:   Abbasi, A. and Hashim, F.M.  (2014) A review on the application of empirical models to hydrate formation prediction.  In: UNSPECIFIED.