2021
DOI: 10.1016/j.cej.2021.128423
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Dynamic fluid states in organic-inorganic nanocomposite: Implications for shale gas recovery and CO2 sequestration

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Cited by 106 publications
(42 citation statements)
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“…9 In contrast, some laboratory experiments suggest that the nanoconfined water fails to exceed conventional flow capacity. 10,11 Also, as for the nanopores with various material or pore sizes, the water transport efficiency varies, spanning 0.1-10 7 times that evaluated by traditional HP formula. 12 Hence, it is controversy to summarize that nanoconfined effect acts as positive or detrimental role affecting water transport performance.…”
Section: Introductionmentioning
confidence: 99%
“…9 In contrast, some laboratory experiments suggest that the nanoconfined water fails to exceed conventional flow capacity. 10,11 Also, as for the nanopores with various material or pore sizes, the water transport efficiency varies, spanning 0.1-10 7 times that evaluated by traditional HP formula. 12 Hence, it is controversy to summarize that nanoconfined effect acts as positive or detrimental role affecting water transport performance.…”
Section: Introductionmentioning
confidence: 99%
“…As the concentration of elemental sulfur in the sour gas exceeds the critical dissolved concentration during the development of sour gas reservoirs, sulfur deposition may occur in the formation. The characteristics of sulfur dissolution, like hydrocarbon dissolution in organic matter (Huang et al, 2020;Huang et al, 2021), are crucial in the analysis of elemental sulfur deposition limit and deposition amount (Smith et al, 1970;Brunner and Woll, 1980;Brunner et al, 1988). Thus, many researchers have been devoted to the study on the elemental sulfur solubility in sour gas from experiment (Kennedy and Wieland, 1960;Roof, 1971;Swift and Manning, 1976;Brunner and Woll, 1980;Brunner et al, 1988;Davis et al, 1993;Gu et al, 1993;Sun and Chen, 2003;Zeng et al, 2005;Yang et al, 2009;Bian et al, 2010;Serin et al, 2010;Cloarec et al, 2012), thermodynamic model (Karan et al, 1998;Heidemann et al, 2001;Cézac et al, 2007;Cézac et al, 2008), semi empirical model (Chrastil, 1982;Eslamimanesh et al, 2011a;Hu et al, 2014;Guo and Wang, 2016), artificial intelligence algorithm (Mohammadi and Richon, 2008;Mehrpooya et al, 2010;Aminian, 2011;Bian et al, 2018;Fu et al, 2019;Bemani et al, 2020;Chen et al, 2020) and molecular simulation (Kadoura et al, 2013;Chen et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Unconventional natural gas resources are abundant in China (Yu et al 2021;Fu et al 2020;Huang et al 2021). Coalbed methane (CBM) reservoirs are widely distributed in major coal-bearing basins, which have great development potential.…”
Section: Introductionmentioning
confidence: 99%