Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors
Accurate predictions of hydrate dissociation conditions are of paramount importance for optimizing mitigation strategies and preventing hydrate formation in oil and gas operations. These predictions are crucial for selecting appropriate thermodynamic inhibitors, reducing operating costs, and minimiz...
| Published in: | Materials Proceedings |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
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| Online Access: | https://www.mdpi.com/2673-4605/15/1/73 |
| _version_ | 1849637003471093760 |
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| author | Ismail Ismail Vassilis Gaganis |
| author_facet | Ismail Ismail Vassilis Gaganis |
| author_sort | Ismail Ismail |
| collection | DOAJ |
| container_title | Materials Proceedings |
| description | Accurate predictions of hydrate dissociation conditions are of paramount importance for optimizing mitigation strategies and preventing hydrate formation in oil and gas operations. These predictions are crucial for selecting appropriate thermodynamic inhibitors, reducing operating costs, and minimizing environmental impact. Moreover, they facilitate the practical application of innovative hydrate technologies such as energy storage, gas separation, and carbon capture. To address this need, various commercial PVT software packages, such as MultiFlash, HydraFLASH, CSMGem, and CSMHyd, are commonly used. However, these packages employ different computational approaches, including hydrate modeling, equations of state (EoS), and phase behavior representation, which can influence their prediction capabilities. To assess their accuracy, we conducted an evaluation using a comprehensive database of 400 experimental dissociation pressure data points from both uninhibited and inhibited hydrate former systems. Through our evaluation, we identified the unique strengths and weaknesses of each software package, providing valuable guidance for industry practitioners and researchers who aim to accurately predict hydrate stability conditions, enabling them to implement effective mitigation strategies and exploit technological solutions. |
| format | Article |
| id | doaj-art-6cfeee024fbb4cea81d0c4813436d41b |
| institution | Directory of Open Access Journals |
| issn | 2673-4605 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-6cfeee024fbb4cea81d0c4813436d41b2025-08-20T02:21:07ZengMDPI AGMaterials Proceedings2673-46052024-01-011517310.3390/materproc2023015073Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of InhibitorsIsmail Ismail0Vassilis Gaganis1School of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, GreeceSchool of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, GreeceAccurate predictions of hydrate dissociation conditions are of paramount importance for optimizing mitigation strategies and preventing hydrate formation in oil and gas operations. These predictions are crucial for selecting appropriate thermodynamic inhibitors, reducing operating costs, and minimizing environmental impact. Moreover, they facilitate the practical application of innovative hydrate technologies such as energy storage, gas separation, and carbon capture. To address this need, various commercial PVT software packages, such as MultiFlash, HydraFLASH, CSMGem, and CSMHyd, are commonly used. However, these packages employ different computational approaches, including hydrate modeling, equations of state (EoS), and phase behavior representation, which can influence their prediction capabilities. To assess their accuracy, we conducted an evaluation using a comprehensive database of 400 experimental dissociation pressure data points from both uninhibited and inhibited hydrate former systems. Through our evaluation, we identified the unique strengths and weaknesses of each software package, providing valuable guidance for industry practitioners and researchers who aim to accurately predict hydrate stability conditions, enabling them to implement effective mitigation strategies and exploit technological solutions.https://www.mdpi.com/2673-4605/15/1/73computational modelinghydrate dissociation pressurecommercial software packagescomparative evaluationthermodynamic inhibitorsequation of state |
| spellingShingle | Ismail Ismail Vassilis Gaganis Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors computational modeling hydrate dissociation pressure commercial software packages comparative evaluation thermodynamic inhibitors equation of state |
| title | Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors |
| title_full | Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors |
| title_fullStr | Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors |
| title_full_unstemmed | Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors |
| title_short | Prediction of Hydrate Dissociation Conditions in Natural/Acid/Flue Gas Streams in the Presence and Absence of Inhibitors |
| title_sort | prediction of hydrate dissociation conditions in natural acid flue gas streams in the presence and absence of inhibitors |
| topic | computational modeling hydrate dissociation pressure commercial software packages comparative evaluation thermodynamic inhibitors equation of state |
| url | https://www.mdpi.com/2673-4605/15/1/73 |
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