Modelling gas hydrate thermodynamic behaviour: theoretical basis and computational methods

Avlonitis, Dimitrios

doi:10.1016/0378-3812(96)03036-1

Cited by 6 publications

(9 citation statements)

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“…Dissociation conditions for simple ethane and ethene hydrates provided a good check of the validity of the experimental procedure. As shown in Figures and , the hydrate dissociation data obtained in this work are generally in satisfactory agreement with those of other authors. − To show clearly discrepancies between various sources of data, fractional experimental pressure differences (Δ P / P ) with respect to CSMGem software predictions are used in both Figures and . For a given temperature, fractional pressure difference from CSMGem is calculated as: ( Δ P P ) = P exp − P pred P pred Superscripts exp and pred stand for experimental and predicted data, respectively.…”

Section: Resultssupporting

confidence: 85%

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Phase Equilibria of Clathrate Hydrates of Ethane + Ethene

et al. 2013

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Dissociation conditions for simple and mixed hydrates of ethane and ethene (ethylene) have been measured using the isochoric pressure-search technique. Simple hydrate dissociation data for ethane and ethene measured in this work are compared to existing literature data. The agreement between the measured ethane hydrate dissociation data with the literature data is acceptable while some deviations between the measured ethene hydrate dissociation data and those reported in the literature are observed. All new data for simple and mixed hydrates of ethene and ethane are well-correlated using an empirical correlation proposed by Adisasmito and coworkers. However, agreement between the experimental data with the predictions of the CSMGem model is found to be unsatisfactory. A gas chromatography technique combined with the isochoric-pressure search method is used to measure composition of the vapor phase in equilibrium with the hydrate and aqueous phases inside the hydrate stability region. The feed compositions investigated were 0.174, 0.420, and 0.810 mole fractions of ethane. In addition, dissociation points were found to be in the vicinity of the ethane hydrate dissociation conditions regardless of the initial content of ethane in the feed. It was also found that temperature does not have a considerable effect on ethane content of the vapor phase in equilibrium with hydrate and aqueous phases inside the hydrate stability region at given pressures.

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Section: Resultssupporting

confidence: 85%

“…Comparison of the experimental dissociation pressures measured in this work for ethane simple hydrates with literature data in terms of fractional differences (Δ P / P ) from CSMGem software predictions: ■, this work; ◇, ref ; ◆, ref ; , ref ; ●, ref ; □, ref ; ▲, ref ; ○, ref ; ×, ref ; ∗, ref ; +, ref .…”

Section: Resultsmentioning

confidence: 91%

Phase Equilibria of Clathrate Hydrates of Ethane + Ethene

et al. 2013

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“…The predicted hydrate dissociation pressures are also listed in Table along with the absolute relative deviation (ARD) from the obtained experimental values. As can be seen, the AAD of the predicted hydrate dissociation conditions by HWHYD − and CSMGem models are on average 9.7% and 5.1%, respectively, which are considered to be in acceptable agreement with those values measured in this work. For comparison purposes, Figure panels a−c show the hydrate dissociation conditions measured in this work along with some selected experimental data from the literature. ,− , Our results generally indicate that the hydrate dissociation pressures of the CO 2 containing gas mixtures are greater than those of pure CO 2 hydrates.…”

Section: Resultssupporting

confidence: 80%

“…The compositions of the methane + carbon dioxide gas mixtures along with the experimental hydrate dissociation conditions in the presence of pure water are presented in Table and Figure . In addition, the hydrate dissociation pressures were predicted at the corresponding equilibrium temperature, CO 2 mole fraction in the gas feed, and water mole fraction introduced to the system using two hydrate thermodynamic models: CSMGem (which is based on the Gibbs energy minimization) and HWHYD − (which is based on fugacity equality of each components throughout all phases present). The predicted hydrate dissociation pressures are also listed in Table along with the absolute relative deviation (ARD) from the obtained experimental values.…”

Section: Resultsmentioning

confidence: 99%

Compositional Analysis and Hydrate Dissociation Conditions Measurements for Carbon Dioxide + Methane + Water System

Belandria

Eslamimanesh

Mohammadi

et al. 2011

Ind. Eng. Chem. Res.

105

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Publication Date (Web): March 24, 2011International audienceA detailed description of an experimental setup based on the "static-analytic" technique with gas phase capillary sampling designed, built, and improved "in-house" to measure phase equilibria (pressure, temperature, and compositions) under gas hydrate formation conditions is presented in this work. The apparatus is suitable for measurements at temperatures ranging from 233 to 373 K and pressures up to 60 MPa. It was used to study phase equilibria in the carbon dioxide + methane + water system under hydrate formation conditions. An isochoric pressure-search method was used to measure hydrate dissociation conditions. The experimental data have been compared successfully with the literature data. The compositions of the gas phase in equilibrium with the hydrate and aqueous phases were measured using a gas chromatography technique and compared successfully with the literature data. The compositions of the hydrate and aqueous phases were determined by applying material balance equations. The experimental data on the compositions of the hydrate have been compared successfully with the literature data. To solve the latter equations, the Newton's numerical method coupled with the differential evolution optimization strategy was employed. All the aforementioned experimental data (hydrate dissociation conditions + composition analyses) have been compared with the predictions of two thermodynamic models, namely CSMGem and HWHYD. A discussion is made on the reliability of the predictions of the latter models

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“…This collection contains a total number of 3514 equilibrium data representing the equilibrium dissociation conditions of the hydrate systems as mentioned earlier. The gathered data points have been reported by Mohammadi and Richon, − Mohammadi et al, − Haghighi et al., − Najibi et al, Tohidi et al, , Chapoy and Tohidi, Nixdorf and Oellrich, Kharrat and Dalmazzone, Masoudi et al, , Jager et al, Jager and Sloan, Maekawa, , Verma, McLeod and Campbell, Verma et al, Thakore and Holder, de Roo et al, Adisasmito and Sloan, Adisasmito et al, Song and Kobayashi, Ghavipour et al, Lafond et al, Ng et al, , Ng and Robinson, − Jhaveri and Robinson, Robinson and Mehta, Robinson and Hutton, Robinson and Ng, Kang et al, Atik et al, Nasab et al, Bishnoi and Dholabhai, Ross and Toczylkin, Dholabhai et al, , Dholabhai and Bishnoi, Roberts et al, Ma et al, Reamer et al, Galloway et al, Falabella, Deaton and Frost, John and Holder, Holder and Grigoriou, Holder and Hand, Holder and Godbole, Godbole, Avlonitis, Kamath and Holder, Kubota et al, Miller and Strong, Kobayashi et al, Englezos and Ngan, Breland and Englezos, Patil, Vlahakis et al, Schneider and Farrar, Rouher and Barduhn, Larson, Selleck et al,…”

Section: Experimental Datamentioning

confidence: 83%

AdaBoost Metalearning Methodology for Modeling the Incipient Dissociation Conditions of Clathrate Hydrates

et al. 2021

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This paper proposes the AdaBoost metalearning methodology to combine the outcomes of tree-based models of classification and the regression tree (CART) algorithm for estimating the equilibrium dissociation temperature of clathrate hydrates. In addition to the AdaBoost-CART models, models based on the adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) approaches were also developed. Training and testing of the models were done utilizing a gathered database of more than 3500 experimental data on incipient dissociation conditions of CO2 and other hydrate systems. With the average absolute relative deviation percent (AARD%) between 0.03 and 0.07, 0.04 and 1.09, and 0.09 and 1.01, which were obtained by the presented AdaBoost-CART, ANFIS, and ANN models, respectively, the targets were reproduced with satisfactory accuracy. However, for all of the studied clathrate hydrate systems, the proposed AdaBoost-CART models provide more reliable results. Indeed, the obtained AARD% values for tree-based models are lower than those of other models.

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Modelling gas hydrate thermodynamic behaviour: theoretical basis and computational methods

Cited by 6 publications

References 0 publications

Phase Equilibria of Clathrate Hydrates of Ethane + Ethene

Phase Equilibria of Clathrate Hydrates of Ethane + Ethene

Compositional Analysis and Hydrate Dissociation Conditions Measurements for Carbon Dioxide + Methane + Water System

AdaBoost Metalearning Methodology for Modeling the Incipient Dissociation Conditions of Clathrate Hydrates

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