Effect of pressure and temperature on diffusion of CO2 and CH4 into coal from the Lorraine basin (France)

Charrière, Delphine; Pokryszka, Zbigniew; Behra, Philippe

doi:10.1016/j.coal.2009.03.007

Cited by 246 publications

(167 citation statements)

References 31 publications

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“…Additionally, previous researchers [58] observed the positive correlation between gas diffusivity and pressure, and found that the gas diffusivity has a positive correlation with surface coverage (adsorbed volume). By plotting the variation in the value of diffusivity and adsorption isotherms, however, we found that there is a mirror image relationship between the variation in the value of macropore diffusivity and adsorption isotherms, the macropore diffusivity decreased with increasing adsorption volume or surface coverage, indicating the negative correlation between surface coverage and gas diffusivity ( Figure 10).…”

Section: Effect Of Pressure and Surface Coverage On Methane Diffusivimentioning

confidence: 99%

Methane Adsorption Rate and Diffusion Characteristics in Marine Shale Samples from Yangtze Platform, South China

et al. 2017

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Knowledge of the gas adsorption rate and diffusion characteristics in shale are very important to evaluate the gas transport properties. However, research on methane adsorption rate characteristics and diffusion behavior in shale is not well established. In this study, high-pressure methane adsorption isotherms and methane adsorption rate data from four marine shale samples were obtained by recording the pressure changes against time at 1-s intervals for 12 pressure steps. Seven pressure steps were selected for modelling, and three pressure steps of low (~0.4 MPa), medium (~4.0 MPa), and high (~7.0 MPa) were selected for display. According to the results of study, the methane adsorption under low pressure attained equilibrium much more quickly than that under medium and high pressure, and the adsorption rate behavior varied between different pressure steps. By fitting the diffusion models to the methane adsorption rate data, the unipore diffusion model based upon unimodal pore size distribution failed to describe the methane adsorption rate, while the bidisperse diffusion model could reasonably describe most of the experimental adsorption rate data, with the exception of sample YY2-1 at high pressure steps. This phenomenon may be related to the restricted assumption on pore size distribution and linear adsorption isotherm. The diffusion parameters α and β/α obtained from the bidisperse model indicated that both macro-and micropore diffusion controlled the methane adsorption rate in shale samples, as well as the relative importance and influence of micropore diffusion and adsorption to adsorption rate and total adsorption increased with increasing pressure. This made the inflection points, or two-stage process, at higher pressure steps not as evident as at low pressure steps, and the adsorption rate curves became less steep with increasing pressure. This conclusion was also supported by the decreasing difference values with increasing pressures between macro-and micropore diffusivities obtained using the bidisperse model, which is roughly from 10 −3 to 10 0 , and 10 −3 to 10 −1 , respectively. Additionally, an evident negative correlation between macropore diffusivities and pressure lower than 3-4 MPa was observed, while the micropore diffusivities only showed a gentle decreasing trend with pressure. A mirror image relationship between the variation in the value of macropore diffusivity and adsorption isotherms was observed, indicating the negative correlation between surface coverage and gas diffusivity. The negative correlation of methane diffusivity with pressure and surface coverage may be related to the increasing degree of pore blockage and the decreasing concentration gradient of methane adsorption. Finally, due to the significant deviation between the unipore model and experimental adsorption rate data, a new estimation method based upon the bidisperse model is proposed here.

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Section: Effect Of Pressure and Surface Coverage On Methane Diffusivimentioning

confidence: 99%

Methane Adsorption Rate and Diffusion Characteristics in Marine Shale Samples from Yangtze Platform, South China

et al. 2017

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“…Maria and Cai et al (2013a, b) analyzed eight coals with similar coal rank but varying petrographic for CH 4 sorption capacity using a high-pressure adsorption isotherm technique and determined the coal quality and petrographic composition of the coals to study their relationships to the volume of CH 4 that could be sorbed into the coal. Previous studies have concluded the qualitative and partly quantitative relationship between physicochemical properties of coal and their adsorption capacity without giving variation scope of adsorption parameters (Unsworth et al 1989;Yalçin and Durucan 1991;Reich et al 1992;Clarkson and Bustin 1999;Mastalerz et al 2009;Charrière et al 2010;Yao and Liu 2012).…”

Section: Introductionmentioning

confidence: 99%

Effects of coal rank on physicochemical properties of coal and on methane adsorption

Cheng

Jiang

Zhang

et al. 2017

Int J Coal Sci Technol

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For the thorough research on coal metamorphism impact on gas adsorption capacity, this paper collected and summarized parameters of experimental adsorption isotherms, coal maceral, proximate analysis and ultimate analysis obtained from National Engineering Research Center of Coal Gas Control and related literatures at home and abroad, systematically discussed the coal rank effect on its physicochemical properties and methane adsorption capacity, in which the coal rank was shown in Vitrinite reflectance, furthermore, obtained the Semi-quantitative relationship between physicochemical properties of coal and methane adsorption capacity.

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“…The effect of gas pressure (concentrations) on the value of the diffusion coefficient has also been identified, but there is no clear opinion on this issue. Some studies showed an increase in the diffusion parameters with increasing pressure (Nandi, Walker 1975;Busch et al 2004;Charriere et al 2010), while other examples showed an inverse relationship (Cui et al 2004). Pillalamarry et al (2011) produced a graph indicating a decrease in the diffusion coefficient D with increasing pressure.…”

mentioning

confidence: 99%

Changes in the sorption/diffusion kinetics of a coal-methane system caused by different temperatures and pressures

Wierzbicki

2013

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

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Effect of pressure and temperature on diffusion of CO2 and CH4 into coal from the Lorraine basin (France)

Cited by 246 publications

References 31 publications

Methane Adsorption Rate and Diffusion Characteristics in Marine Shale Samples from Yangtze Platform, South China

Methane Adsorption Rate and Diffusion Characteristics in Marine Shale Samples from Yangtze Platform, South China

Effects of coal rank on physicochemical properties of coal and on methane adsorption

Changes in the sorption/diffusion kinetics of a coal-methane system caused by different temperatures and pressures

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