TY  - JOUR
SN  - 10916466
N2  - 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.
IS  - 5
TI  - Development of a hydrate formation prediction model for sub-sea pipeline
KW  - Forecasting; Hydration; Methane; Optimization; Pipelines; Statistical methods
KW  -  Deepwater pipelines; Empirical equations; Hydrate formation temperatures; Hydrate forming conditions; Intelligent optimization algorithm; Optimization algorithms; Optimization techniques; Temperature and pressures
KW  -  Gas hydrates
ID  - scholars8784
EP  - 450
PB  - Taylor and Francis Inc.
SP  - 443
AV  - none
Y1  - 2017///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020126147&doi=10.1080%2f10916466.2016.1263210&partnerID=40&md5=96de48bf5606da9b1be0d142ce2441aa
N1  - cited By 5
A1  - Abbasi, A.
A1  - Hashim, F.M.
JF  - Petroleum Science and Technology
VL  - 35
ER  -