2016
DOI: 10.1016/j.fuel.2015.09.044
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Analysis of the effect of particle size on permeability in hydrate-bearing porous media using pore network models combined with CT

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Cited by 151 publications
(42 citation statements)
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“…In addition to the pore structure, the distribution of pores and solid particles also affects the rocks transport capacity. Pure sandstone formed by larger-size grain has larger permeability and porosity (Vidal et al, 2009;Byon and Kim, 2013;Wang et al, 2016b). Size, distribution, and contact relationship of pores and solids or grains are clearly displayed in thin section.…”
Section: Petrophysical Characterization Based On Thin Section Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to the pore structure, the distribution of pores and solid particles also affects the rocks transport capacity. Pure sandstone formed by larger-size grain has larger permeability and porosity (Vidal et al, 2009;Byon and Kim, 2013;Wang et al, 2016b). Size, distribution, and contact relationship of pores and solids or grains are clearly displayed in thin section.…”
Section: Petrophysical Characterization Based On Thin Section Analysismentioning
confidence: 99%
“…X-ray CT can achieve wider field of view and very high resolution in 3D space (Ge et al, 2015). Despite the lower resolution in comparison with µxCT and SEM images, the thin section images have other advantages such as a wider range of view, saved time and cheaper availability for petrophysical studies, such as pore microstructure (Desbois et al, 2011;Rabbani et al, 2014a;Borazjani et al, 2016;Gundogar et al, 2016;Rabbani et al, 2016;Xiao et al, 2016), mineral recognition and classification (Hofmann et al, 2013;Asmussen et al, 2015;Izadi et al, 2015;Izadi et al, 2017b), specific surface area (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b), elastic modulus (Arns et al, 2002;Dvorkin et al, 2011;Madonna et al, 2012;Saxena and Mavko, 2016), rock type determination (Mynarczuk, 2010;Mynarczuk et al, 2013;Ge et al, 2015;Mollajan et al, 2016), pore-grain analysis (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b;Song et al, 2016), flowing property (Peng et al, 2016;Wang et al, 2016b). Using thin section images, the interconnected pore structure can be marked out visually as they are filled by color epoxy resin.…”
Section: Petrophysical Characterization Based On Thin Section Analysismentioning
confidence: 99%
“…Therefore, it is of great significance to apply the pore network model to the field of heat and mass transfer simulation of porous media. At present, there are three types of pore network models, including the conceptual model [Xie, Wang, Wang et al (2016)], statistical model [Banerjee, Bevilacqua, Eifert et al (2019); Gharedaghloo, Price, Rezanezhad et al (2018); Salama (2018)] and image reconstruction model [Ma, Sanchez, Wu et al (2014); Wang, Zhao, Zhang et al (2016)].…”
Section: Introductionmentioning
confidence: 99%
“…Physical properties of the hydrate-hosting medium, such as particle size, thermal conduction characteristics, and mechanical properties, are important elements for these assessments [25,26]. Generally, particle size which Energies 2017, 10, 531 3 of 16 governs the sediment permeability plays an important role in affecting the occurring morphology and saturation of gas hydrate [27][28][29], and further affects water and gas production. Similarly, heat transfer from within the reservoir and from the over-and under-burden layers significantly influence the hydrate decomposition rate and the percentage of gas production [30,31].…”
Section: Introductionmentioning
confidence: 99%