Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation

Transmission of natural gas with methane as the main constituent has been a subject of interest to industrial companies. Predicting hydrate formation conditions is important to prevent formation of methane hydrate in gas pipeline. Also, attention has been taken to account for capture and storage of...

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Bibliographic Details
Published in:Journal of petroleum exploration and production technology 2018-12, Vol.8 (4), p.1401-1412
Main Authors: Mohamadi-Baghmolaei, Mohamad, Hajizadeh, Abdollah, Azin, Reza, Izadpanah, Amir Abbas
Format: Article
Language:English
Subjects:
Companies
Correlation
Earth and Environmental Science
Earth Sciences
Empirical correlation
Empirical equations
Energy Systems
Equations of state
Error analysis
Gas pipelines
Genetic algorithms
Genetic programming
Geology
Hydrate formation
Hydrates
Ice
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Mathematical models
Methane
Methane hydrates
Methods
Monitoring/Environmental Analysis
Natural gas
Offshore Engineering
Original Paper - Production Engineering
Predictions
Storage
Submarine pipelines
Thermodynamic models
VdW-P
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Summary:Transmission of natural gas with methane as the main constituent has been a subject of interest to industrial companies. Predicting hydrate formation conditions is important to prevent formation of methane hydrate in gas pipeline. Also, attention has been taken to account for capture and storage of pure methane. In this paper, a comprehensive comparison is performed between empirical correlations and different equation of state in van der Waals Platteeuw (VdW-P) thermodynamic model to determine the most accurate method of hydrate formation condition of methane. In addition, a novel, simple and accurate correlation is developed to predict methane hydrate formation temperature using genetic programming. Error analysis on a wide range of experimental data indicates that the new proposed correlation is superior over existing correlations and all VdW-P models with R 2  = 0.999.
ISSN:2190-0558
2190-0566
DOI:10.1007/s13202-017-0415-2