International audienceIn this work, the group contribution (GC) method is coupled with the least-squares support vector machine (LSSVM) mathematical algorithm to develop a model for representation/prediction of the dissociation conditions of structure H (sH) clathrate hydrates of methane with 21 hydrocarbon promoters namely as water "insoluble" promoters. Almost all of available literature data are studied to present a reliable model validated by the following statistical parameters: absolute average relative deviations (AARD) of the represented/predicted dissociation pressures from the reported experimental values: about 1.6%, and squared correlation coefficient: 0.99
International audienceIn this communication, we have developed a feed-forward artificial neural netw...
A thermodynamic model to predict three phase (L-H-V and I-H-V) equilibria of gas hydrates is present...
International audienceIn this work, the phase equilibria of clathrate hydrates of methane in the pre...
In this work, the group contribution (GC) method is coupled with the least-squares support vector ma...
Available online 3 December 2011International audienceIn this work, the Least Squares Support Vector...
International audienceIn this communication, the quantitative structure-property relationship (QSPR)...
International audienceIn this communication, equilibrium conditions of clathrate hydrates of cyclope...
The formation of gas hydrates in industries and chemical plants, especially in natural gas productio...
International audienceIn this paper, we present two different approaches to represent/predict the ga...
Clathrate hydrates (gas hydrates) are solid crystalline compounds formed from water molecules as hos...
International audienceIn this work, experimental dissociation data for the clathrate hydrates of tet...
International audienceIn this communication, we report a thermodynamic model for predicting pressure...
This Manuscript was presented at the AICHE Annual Meeting 2009 in Nashvill, TN.International audienc...
International audienceWe, herein, present a statistical method for diagnostics of the outliers in ph...
An accurate prediction of the mutual solubilities of hydrocarbons and water is extremely useful in o...
International audienceIn this communication, we have developed a feed-forward artificial neural netw...
A thermodynamic model to predict three phase (L-H-V and I-H-V) equilibria of gas hydrates is present...
International audienceIn this work, the phase equilibria of clathrate hydrates of methane in the pre...
In this work, the group contribution (GC) method is coupled with the least-squares support vector ma...
Available online 3 December 2011International audienceIn this work, the Least Squares Support Vector...
International audienceIn this communication, the quantitative structure-property relationship (QSPR)...
International audienceIn this communication, equilibrium conditions of clathrate hydrates of cyclope...
The formation of gas hydrates in industries and chemical plants, especially in natural gas productio...
International audienceIn this paper, we present two different approaches to represent/predict the ga...
Clathrate hydrates (gas hydrates) are solid crystalline compounds formed from water molecules as hos...
International audienceIn this work, experimental dissociation data for the clathrate hydrates of tet...
International audienceIn this communication, we report a thermodynamic model for predicting pressure...
This Manuscript was presented at the AICHE Annual Meeting 2009 in Nashvill, TN.International audienc...
International audienceWe, herein, present a statistical method for diagnostics of the outliers in ph...
An accurate prediction of the mutual solubilities of hydrocarbons and water is extremely useful in o...
International audienceIn this communication, we have developed a feed-forward artificial neural netw...
A thermodynamic model to predict three phase (L-H-V and I-H-V) equilibria of gas hydrates is present...
International audienceIn this work, the phase equilibria of clathrate hydrates of methane in the pre...