Development of a hydrate formation prediction model for sub-sea pipeline. (4th March 2017)

• Record Type: Journal Article
• Authors: Abbasi, Aijaz; Hashim, Fakhruldin Mohd
• Is Part Of: Petroleum science and technology. Volume 35:Number 5(2017)
• Page Start: 443
• Page End: 450
• Publication Date: 2017-03-04
• Subjects: Deepwater pipeline -- empirical equations -- hydrate formation prediction, intelligent optimization algorithms -- statistical analysis; Liquid fuels -- Periodicals; Petroleum -- Periodicals; 665.505
• DOI: 10.1080/10916466.2016.1263210
• Languages: English
• ISSNs: 1091-6466

Abstract

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.