A kinetic study of methane hydrate formation

Vyšniauskas, Aurimas; Bishnoi, P. R.

doi:10.1016/0009-2509(83)80027-x

Cited by 616 publications

(378 citation statements)

References 11 publications

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“…The water adsorption isotherm has a remarkable hysteresis loop that comes from a metastable assembly structure of water in the adsorption branch 14,15 . Our initial hypothesis would be that the small thickness of the metastable water layer (that provides a very high-interfacial liquid water-methane contact area), together with the low interaction of water molecules with the hydrophobic carbon surface could speed up the methane hydrate formation process 16,17 . Consequently, the methane hydrate formation on sample PP-AC was examined for different amounts of adsorbed water.…”

Section: Resultsmentioning

confidence: 99%

“…Indeed, the blank experiment in the absence of confinement effects, that is, in the absence of activated carbon, gives no methane adsorption over the wholepressure range evaluated (up to 10 MPa). Only under special conditions, for example, water-in-crude oil emulsion, methane hydrate can be formed under realistic time scale (within hours) due to the increase gas-liquid contact area, although using extremely high pressures (10 MPa) 15,16,22 .…”

Section: Resultsmentioning

confidence: 99%

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Methane hydrate formation in confined nanospace can surpass nature

et al. 2015

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Natural methane hydrates are believed to be the largest source of hydrocarbons on Earth. These structures are formed in specific locations such as deep-sea sediments and the permafrost based on demanding conditions of high pressure and low temperature. Here we report that, by taking advantage of the confinement effects on nanopore space, synthetic methane hydrates grow under mild conditions (3.5 MPa and 2°C), with faster kinetics (within minutes) than nature, fully reversibly and with a nominal stoichiometry that mimics nature. The formation of the hydrate structures in nanospace and their similarity to natural hydrates is confirmed using inelastic neutron scattering experiments and synchrotron X-ray powder diffraction. These findings may be a step towards the application of a smart synthesis of methane hydrates in energy-demanding applications (for example, transportation).

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Methane hydrate formation in confined nanospace can surpass nature

et al. 2015

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“…The basic rate equation for hydrate formation relates pressure, temperature, degree of i supercooling, and water-gas interface area (Vysniauskas and Bishnoi, 1983). In eq.…”

Section: Rate Of Hydrate Formationmentioning

confidence: 99%

“…The parameters in the equation have been established for a methane-pure water system (Vysniauskas and Bishnoi, 1983) and ethane-pure water system (Vysniauskas and Bishnoi, 1985) in which the water was mechanically stirred. It is usefid to keep in mind eq.…”

Section: Rate Of Hydrate Formationmentioning

confidence: 99%

Natural Gas Hydrates Storage Project

Rogers¹

1999

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“…Englezos et al [2] developed a kinetic model to describe Vysniauskas and Bishnoi's experimental data [3] of methane and ethane hydrates formation combining the theories of crystallization and mass transfer at a gas-liquid interface. The driving force for hydrate formation was defined as the fugacity difference between dissolved gas and three-phase equilibrium fugacity.…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence (AI) Modeling in Kinetics of Methane Hydrate Growth

Foroozesh¹,

Khosravani²,

Mohsenzadeh³

et al. 2013

AJAC

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Determining thermodynamic and kinetic conditions for natural gas hydrate formation is an interesting subject for many researches. At the present, suitable information including experimental data and the thermodynamic models of hydrate formation are available which predict the thermodynamic conditions of hydrate formation. Conversely, there is no sufficient study about the kinetics of natural gas hydrate and most of experimental data and kinetic models in the literature are incomplete. Artificial Intelligence (AI) having sub-branches such as artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS) has been proved as a novel tool with acceptable accuracy for modeling of engineering systems. Therefore, this paper aims to investigate the kinetics of hydrate formation by predicting the relationship of growth rate of methane hydrate with temperature and pressure using ANN and ANFIS. This goal can also be achieved by solving complicated governing equations while artificial intelligence provides an easier way to accomplish this goal. The result has shown that ANIFS is a more potential tool in predication relationship of kinetics of hydrate formation with temperature and pressure in comparison of ANN in present work.

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A kinetic study of methane hydrate formation

Cited by 616 publications

References 11 publications

Methane hydrate formation in confined nanospace can surpass nature

Methane hydrate formation in confined nanospace can surpass nature

Natural Gas Hydrates Storage Project

Application of Artificial Intelligence (AI) Modeling in Kinetics of Methane Hydrate Growth

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