2007
DOI: 10.1016/j.petrol.2006.01.012
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Predicting gas generation by depressurization of gas hydrates where the sharp-interface assumption is not valid

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Cited by 54 publications
(30 citation statements)
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“…It is defined as the ratio of sensible heat of the sediment, hydrate, and fluids, to the heat of hydrate dissociation. It is given by the following expression [53]:…”
Section: Effect Of the Sensible Heat Of The Reservoirmentioning
confidence: 99%
“…It is defined as the ratio of sensible heat of the sediment, hydrate, and fluids, to the heat of hydrate dissociation. It is given by the following expression [53]:…”
Section: Effect Of the Sensible Heat Of The Reservoirmentioning
confidence: 99%
“…Furthermore, the pressure response indicated flow within the porous medium, implying mobility of the formation water (Hancock et al, 2005b). Gerami and Pooladi-Darvish (2007a) and Tabatabaie and Pooladi-Darvish (2009) have shown that the rate of gas production by depressurization strongly depends on whether hydrate dissociation occurs over a zone or on a surface, with the former providing substantially larger rate of hydrate dissociation. Hancock et al (2005b) reported application of conventional PTA techniques developed for single-phase isothermal well testing to the MDT results.…”
Section: Well Testing and Interpretation Issuesmentioning
confidence: 99%
“…The depressurization-induced hydrate dissociation is limited by heat transfer [17,29]. The results of experimental and numerical simulations have shown that in the process of the gas production by depressurization, the temperatures can significantly be reduced so as to the pore water probably freezes and the hydrate reforms [9,16,[30][31][32].…”
Section: Introductionmentioning
confidence: 99%
“…Numerical analysis is an effective approach in modeling and simulating hydrate dissociation in porous media, many numerical models have been systematically developed to simulate natural gas production from hydrates and predict the possible behaviors [8,26,29,[35][36][37][38][39]. Sung et al [35] developed a three-dimensional, multi-phase flow finite-difference numerical model to evaluate the gas recovery performances with Kim-Bishnoi kinetic dissociation model.…”
Section: Introductionmentioning
confidence: 99%