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

Abstract 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 st...

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Published in:Journal of Petroleum Exploration and Production Technology
Main Authors: Mohamad Mohamadi-Baghmolaei, Abdollah Hajizadeh, Reza Azin, Amir Abbas Izadpanah
Format: Article in Journal/Newspaper
Language:English
Published: SpringerOpen 2017
Subjects:
Online Access:https://doi.org/10.1007/s13202-017-0415-2
https://doaj.org/article/f0c26fb345f0494ba89ef976d180fc56
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spelling ftdoajarticles:oai:doaj.org/article:f0c26fb345f0494ba89ef976d180fc56 2023-05-15T17:11:35+02:00 Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation Mohamad Mohamadi-Baghmolaei Abdollah Hajizadeh Reza Azin Amir Abbas Izadpanah 2017-12-01T00:00:00Z https://doi.org/10.1007/s13202-017-0415-2 https://doaj.org/article/f0c26fb345f0494ba89ef976d180fc56 EN eng SpringerOpen http://link.springer.com/article/10.1007/s13202-017-0415-2 https://doaj.org/toc/2190-0558 https://doaj.org/toc/2190-0566 doi:10.1007/s13202-017-0415-2 2190-0558 2190-0566 https://doaj.org/article/f0c26fb345f0494ba89ef976d180fc56 Journal of Petroleum Exploration and Production Technology, Vol 8, Iss 4, Pp 1401-1412 (2017) Empirical correlation VdW-P Hydrate formation Methane Genetic programming Petroleum refining. Petroleum products TP690-692.5 Petrology QE420-499 article 2017 ftdoajarticles https://doi.org/10.1007/s13202-017-0415-2 2022-12-30T19:54:00Z Abstract 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. Article in Journal/Newspaper Methane hydrate Directory of Open Access Journals: DOAJ Articles Journal of Petroleum Exploration and Production Technology 8 4 1401 1412
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Empirical correlation
VdW-P
Hydrate formation
Methane
Genetic programming
Petroleum refining. Petroleum products
TP690-692.5
Petrology
QE420-499
spellingShingle Empirical correlation
VdW-P
Hydrate formation
Methane
Genetic programming
Petroleum refining. Petroleum products
TP690-692.5
Petrology
QE420-499
Mohamad Mohamadi-Baghmolaei
Abdollah Hajizadeh
Reza Azin
Amir Abbas Izadpanah
Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
topic_facet Empirical correlation
VdW-P
Hydrate formation
Methane
Genetic programming
Petroleum refining. Petroleum products
TP690-692.5
Petrology
QE420-499
description Abstract 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.
format Article in Journal/Newspaper
author Mohamad Mohamadi-Baghmolaei
Abdollah Hajizadeh
Reza Azin
Amir Abbas Izadpanah
author_facet Mohamad Mohamadi-Baghmolaei
Abdollah Hajizadeh
Reza Azin
Amir Abbas Izadpanah
author_sort Mohamad Mohamadi-Baghmolaei
title Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
title_short Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
title_full Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
title_fullStr Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
title_full_unstemmed Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
title_sort assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation
publisher SpringerOpen
publishDate 2017
url https://doi.org/10.1007/s13202-017-0415-2
https://doaj.org/article/f0c26fb345f0494ba89ef976d180fc56
genre Methane hydrate
genre_facet Methane hydrate
op_source Journal of Petroleum Exploration and Production Technology, Vol 8, Iss 4, Pp 1401-1412 (2017)
op_relation http://link.springer.com/article/10.1007/s13202-017-0415-2
https://doaj.org/toc/2190-0558
https://doaj.org/toc/2190-0566
doi:10.1007/s13202-017-0415-2
2190-0558
2190-0566
https://doaj.org/article/f0c26fb345f0494ba89ef976d180fc56
op_doi https://doi.org/10.1007/s13202-017-0415-2
container_title Journal of Petroleum Exploration and Production Technology
container_volume 8
container_issue 4
container_start_page 1401
op_container_end_page 1412
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