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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2017-12-01
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Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s13202-017-0415-2 |
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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 |
collection | DOAJ |
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. |
first_indexed | 2024-04-11T10:43:57Z |
format | Article |
id | doaj.art-f0c26fb345f0494ba89ef976d180fc56 |
institution | Directory Open Access Journal |
issn | 2190-0558 2190-0566 |
language | English |
last_indexed | 2024-04-11T10:43:57Z |
publishDate | 2017-12-01 |
publisher | SpringerOpen |
record_format | Article |
series | Journal of Petroleum Exploration and Production Technology |
spelling | doaj.art-f0c26fb345f0494ba89ef976d180fc562022-12-22T04:29:06ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662017-12-01841401141210.1007/s13202-017-0415-2Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formationMohamad Mohamadi-Baghmolaei0Abdollah Hajizadeh1Reza Azin2Amir Abbas Izadpanah3Department of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf UniversityDepartment of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf UniversityDepartment of Petroleum Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf UniversityDepartment of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf UniversityAbstract 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.http://link.springer.com/article/10.1007/s13202-017-0415-2Empirical correlationVdW-PHydrate formationMethaneGenetic programming |
spellingShingle | Mohamad Mohamadi-Baghmolaei Abdollah Hajizadeh Reza Azin Amir Abbas Izadpanah Assessing thermodynamic models and introducing novel method for prediction of methane hydrate formation Journal of Petroleum Exploration and Production Technology Empirical correlation VdW-P Hydrate formation Methane Genetic programming |
title | 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_short | 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 |
topic | Empirical correlation VdW-P Hydrate formation Methane Genetic programming |
url | http://link.springer.com/article/10.1007/s13202-017-0415-2 |
work_keys_str_mv | AT mohamadmohamadibaghmolaei assessingthermodynamicmodelsandintroducingnovelmethodforpredictionofmethanehydrateformation AT abdollahhajizadeh assessingthermodynamicmodelsandintroducingnovelmethodforpredictionofmethanehydrateformation AT rezaazin assessingthermodynamicmodelsandintroducingnovelmethodforpredictionofmethanehydrateformation AT amirabbasizadpanah assessingthermodynamicmodelsandintroducingnovelmethodforpredictionofmethanehydrateformation |