2020
DOI: 10.1016/j.apenergy.2020.115195
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Effect of pressure drawdown rate on the fluid production behaviour from methane hydrate-bearing sediments

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Cited by 66 publications
(54 citation statements)
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“…S nw = S w − S wr 1 − S wr (15) where S w is the water saturation. This model employs two parameters.…”
Section: Lawrence Berkeley National Laboratory (Lbnl) Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…S nw = S w − S wr 1 − S wr (15) where S w is the water saturation. This model employs two parameters.…”
Section: Lawrence Berkeley National Laboratory (Lbnl) Modelmentioning
confidence: 99%
“…In the past few decades, limited field tests [11][12][13][14] or laboratory experiments [15][16][17] have been carried out to explore the fluid production performance at the field or core scale. In addition, the fluid production efficiency of hydrate reservoirs under different NGH dissociation methods is also normally evaluated by a variety of numerical simulators [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…The hydrate-bearing sediment has complex pore structures, unique interfacial properties, and various mineral compositions, prompting huge contrasts between the formation of gas hydrates in the confined space and that in the free space [19][20][21][22][23]. The formation process, structure, and distribution of natural gas hydrates in sediments have become focal points of exploring natural gas hydrates [24][25][26]. Therefore, it is essential to understand the physical and chemical properties of natural gas hydrate in sediments [27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…Current estimations of the hydrate-containing hydrocarbon gas available at standard conditions ranges from 10 15 to 10 18 m 3 , which is twice as much as the conventional fossil energy (Moridis et al, 2009a). If NGH can be exploited in a safe and efficient way to produce natural gas and replace traditional fossil fuels, the problem of global energy shortage and environmental pollution can be greatly alleviated (Liang et al, 2020;Yin et al, 2020).…”
Section: Introductionmentioning
confidence: 99%