## A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates

Publication: Research - peer-review › Journal article – Annual report year: 2012

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**A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates.** / Eslamimanesh, Ali; Gharagheizi, Farhad; Mohammadi, Amir H.; Richon, Dominique.

Publication: Research - peer-review › Journal article – Annual report year: 2012

### Harvard

*Chemical Engineering Science*, vol 80, pp. 402-408. DOI: 10.1016/j.ces.2012.06.019

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*A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates*.

*Chemical Engineering Science*,

*80*, 402-408. DOI: 10.1016/j.ces.2012.06.019

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### MLA

*Chemical Engineering Science*. 2012, 80. 402-408. Available: 10.1016/j.ces.2012.06.019

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TY - JOUR

T1 - A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates

AU - Eslamimanesh,Ali

AU - Gharagheizi,Farhad

AU - Mohammadi,Amir H.

AU - Richon,Dominique

N1 - Highlights: - Leverage method is applied for evaluation of experimental phase equilibrium data. - Experimental phase equilibrium data of various simple clathrate hydrates are studied. - 5 hydrate dissociation data are found to be probable doubtful ones. - 10 data points are designated as out of applicability domain of the correlation.

PY - 2012

Y1 - 2012

N2 - We, herein, present a statistical method for diagnostics of the outliers in phase equilibrium data (dissociation data) of simple clathrate hydrates. The applied algorithm is performed on the basis of the Leverage mathematical approach, in which the statistical Hat matrix, Williams Plot, and the residuals of a selected correlation results lead to define the probable outliers. This method not only contributes to outliers diagnostics but also identifies the range of applicability of the applied model and quality of the existing experimental data. The available correlation in the literature in exponential form is used to represent/predict the hydrate dissociation pressures for three-phase equilibrium conditions (liquid water/ice–vapor-hydrate). The investigated hydrate formers are methane, ethane, propane, carbon dioxide, nitrogen, and hydrogen sulfide. It is interpreted from the obtained results that the applied correlation for calculation/estimation of the phase behavior of simple clathrate hydrate systems is statistically valid and correct, 5 hydrate dissociation data are found to be probable doubtful ones and 10 data points are out of applicability domain of the applied correlation.

AB - We, herein, present a statistical method for diagnostics of the outliers in phase equilibrium data (dissociation data) of simple clathrate hydrates. The applied algorithm is performed on the basis of the Leverage mathematical approach, in which the statistical Hat matrix, Williams Plot, and the residuals of a selected correlation results lead to define the probable outliers. This method not only contributes to outliers diagnostics but also identifies the range of applicability of the applied model and quality of the existing experimental data. The available correlation in the literature in exponential form is used to represent/predict the hydrate dissociation pressures for three-phase equilibrium conditions (liquid water/ice–vapor-hydrate). The investigated hydrate formers are methane, ethane, propane, carbon dioxide, nitrogen, and hydrogen sulfide. It is interpreted from the obtained results that the applied correlation for calculation/estimation of the phase behavior of simple clathrate hydrate systems is statistically valid and correct, 5 hydrate dissociation data are found to be probable doubtful ones and 10 data points are out of applicability domain of the applied correlation.

KW - Evaluation of data

KW - Gas hydrate

KW - Leverage approach

KW - Hat matrix

KW - Williams plot

KW - Outlier diagnostics

U2 - 10.1016/j.ces.2012.06.019

DO - 10.1016/j.ces.2012.06.019

M3 - Journal article

VL - 80

SP - 402

EP - 408

JO - Chemical Engineering Science

T2 - Chemical Engineering Science

JF - Chemical Engineering Science

SN - 0009-2509

ER -