Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen + water soluble organic promoters using Support Vector Machine algorithm

Abstract : In this work, the Least Squares Support Vector Machine (LSSVM) algorithm is employed to present several numerical models for calculation/estimation of the clathrate hydrate dissociation conditions of methane, carbon dioxide, nitrogen, and hydrogen in the presence of 3 most-widely used water "soluble" organic promoters including tetrahydrofuran (THF), 1,4-dioxane, and acetone. The Hybrid Genetic Algorithm (H-GA) is applied to obtain the optimal models parameters. The final results indicate the accuracy and reliability of the proposed models with the absolute average relative deviations (AARD) of generally less than 10% and squared correlation coefficients of generally greater than 0.99. It was found that the models contribute to high deviations for the representations/predictions of the N2 + THF, CH4 + 1,4-dioxane, and H2 + acetone clathrate hydrates phase equilibria.
Type de document :
Article dans une revue
Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-00668289
Contributeur : Bibliothèque Mines Paristech <>
Soumis le : jeudi 9 février 2012 - 15:12:04
Dernière modification le : jeudi 24 septembre 2020 - 17:22:03

Identifiants

Citation

Ali Eslamimanesh, Farhad Gharagheizi, Mohammad Illbeigi, Amir H. Mohammadi, Alireza Fazlali, et al.. Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen + water soluble organic promoters using Support Vector Machine algorithm. Fluid Phase Equilibria, Elsevier, 2011, 316 (25), pp.34-45. ⟨10.1016/j.fluid.2011.11.029⟩. ⟨hal-00668289⟩

Partager

Métriques

Consultations de la notice

233