2016
DOI: 10.1016/j.jngse.2016.03.070
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An improved Langmuir model for evaluating methane adsorption capacity in shale under various pressures and temperatures

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Cited by 73 publications
(56 citation statements)
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“…The temperature dependence of adsorption capacity is greatly controlled by the isosteric heat which also depends on the surface coverage. Many experimental studies have been conducted on the influence of temperature on adsorbed shale gas content (3,6,(11)(12)(13)(14)(15)(16)(17)(18) According to Guo et al (4), adsorbed gas content increased with increasing pressure under isothermal conditions whereas the gas content decreased under isobaric conditions for increases in temperature. Guo et al (4) obtained adsorption isotherms at different temperatures and also at different pressure points for shale samples of the Ordos Basin, China.…”
Section: Introductionmentioning
confidence: 99%
“…The temperature dependence of adsorption capacity is greatly controlled by the isosteric heat which also depends on the surface coverage. Many experimental studies have been conducted on the influence of temperature on adsorbed shale gas content (3,6,(11)(12)(13)(14)(15)(16)(17)(18) According to Guo et al (4), adsorbed gas content increased with increasing pressure under isothermal conditions whereas the gas content decreased under isobaric conditions for increases in temperature. Guo et al (4) obtained adsorption isotherms at different temperatures and also at different pressure points for shale samples of the Ordos Basin, China.…”
Section: Introductionmentioning
confidence: 99%
“…The model, therefore, is suitable for non-homogeneous adsorbents especially in the Devonian shale where two mineral composition of clay and kerogen are said to be mainly responsible for gas storage. Ye et al. (2016) also proposed a variation of the classical Langmuir isotherm equation by introducing an exponential relation that expresses the Langmuir volume (VL) as dependent on temperature.…”
Section: Methodsmentioning
confidence: 99%
“…10 0 10 1 CpD = 0.5 0.7 0.9 1.0 10 2 10 3 10 5 10 4 Fig. 17 Dimensionless plot with the effect of the shape factor (Ye et al 2016) 5 Comparison of different pressure transient analysis models…”
Section: Field Applicationsmentioning
confidence: 99%