Mechanisms of shale gas adsorption: Evidence from thermodynamics and kinetics study of methane adsorption on shale

Chen, Lei; Zuo, Liang; Jiang, Zhenxue; Jiang, Shu; Liu, Keyu; Tan, Jingqiang; Zhang, Luchuan

doi:10.1016/j.cej.2018.11.185

Cited by 229 publications

(123 citation statements)

References 91 publications

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“…In this study, the equivalent adsorption heat (Q ST = 47.7670 KJ mol −1 ) was calculated using the formula. Therefore, the adsorption process was chemically driven [29], thereby confirming the previous speculation for chemical adsorption.…”

Section: Isothermal Adsorption Model Isothermal Parametersupporting

confidence: 86%

Almond Shell-Derived, Biochar-Supported, Nano-Zero-Valent Iron Composite for Aqueous Hexavalent Chromium Removal: Performance and Mechanisms

Shu

Cui

et al. 2020

Nanomaterials

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Nano-zero-valent iron biochar derived from almond shell (nZVI-ASBC) was used for hexavalent chromium (CR) removal. Experiments showed that pH was the main factor (p < 0.01) that affected the experimental results. At a dosage of 10 mg·L−1 and pH of 2–6, in the first 60 min, nZVI-ASBC exhibited a removal efficiency of 99.8%, which was approximately 20% higher than the removal yield at pH 7–11. Fourier transform infrared spectroscopy results indicated N-H was the main functional group that influenced the chemisorption process. The pseudo second-order dynamics and Langmuir isotherm models proved to be the most suitable. Thermodynamic studies showed that the reaction was exothermic and spontaneous at low temperatures (T < 317 K). Various interaction mechanisms, including adsorption and reduction, were adopted for the removal of Cr(VI) using the nZVI-ASBC composite. The findings showed that the BC-modified nZVI prepared with almond shell exerts a good effect and could be used for the removal of Cr(VI).

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Section: Isothermal Adsorption Model Isothermal Parametersupporting

confidence: 86%

Almond Shell-Derived, Biochar-Supported, Nano-Zero-Valent Iron Composite for Aqueous Hexavalent Chromium Removal: Performance and Mechanisms

Shu

Cui

et al. 2020

Nanomaterials

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“…Previous study concluded that SSA was one of the main controlling factors on adsorption behaviors [17]. In this study, SSA calculated by BET and BJH models has no obvious effect on AGC (Va has no obvious correlation with SSA, Figure 17).…”

Section: Specific Surface Areamentioning

confidence: 54%

“…By conducting the CH 4 isothermal adsorption experiments at different temperatures on the same shale sample, the influence of temperature on the adsorption process and AGC can be analyzed [17,69]. In this study, Sample 7 was carried out the experiments at 30, 60, 90 and 120 • C, respectively, the experimental pressure increased from 0 MPa to about 17 MPa, until the measured adsorption gas content was no longer increased.…”

Section: Temperaturementioning

confidence: 99%

Influencing Factors and Mathematical Prediction of Shale Adsorbed Gas Content in the Upper Triassic Yanchang Formation in the Ordos Basin, China

et al. 2019

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Evaluating absorbed gas content (AGC) in shales is crucial for accurately characterizing shale gas reservoirs and calculating resource potential. To investigate geological factors influencing AGC, 15 shale samples collected from the Yanchang Formation underwent related experiments. Then geochemistry features, mineral compositions, pore structure parameters and external factors were analyzed. The actual AGC was calculated using the Langmuir equation. Single geological factors acting on the AGC were discussed by the single-factor correlation analysis. Finally, four main influence factors (total organic carbon, S1, quartz content and formation temperature) were selected out from the 12 influence factors to establish the mathematical prediction model through the multi-factor regression statistical analysis method using SPSS software. The model was verified as being reliable with R2 as high as 0.8046 and relative error less than ±20%. Comparisons show that both the CH4 isothermal adsorption experimental method and the multi-factor regression analysis method have their own applicability and disadvantages, and they can complement each other in evaluating AGC in shales. Synthetic evaluation of AGC indicates that the Yanchang shale has an overall moderate AGC occupying about 58% of the total, which is helpful to extend shale gas production time of the Yanchang reservoir. Though under the present conditions, economic benefits of the continental shale gas are not obvious, the shale resource potential of Yanchang formation can’t be ignored.

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“…Indeed, similar results were reported in the previous studies. [43][44][45] This is mainly explained by the fact that methane adsorption amounts obtained in the methane adsorption experiments are excess. 44 In addition, the measurement of methane adsorption in shale is very difficult as the methane adsorption amount in shale is very small.…”

Section: Pore Structure Of Shale Samplesmentioning

confidence: 99%

Fractal Characteristics of Nanoscale Pores in Shale and Its Implications on Methane Adsorption Capacity

et al. 2019

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Pore structure in shale controls the gas storage mechanism and gas transport behaviors. Since nanoscale pores in shale matrix have fractal characteristics, fractal theory can be used to study its structure. In addition, fractal method has its own advantages to investigate nanopores in shale, especially for the heterogeneity and irregularity of nanopores in shale. In this work, fractal features of nanoscale pores and the implication on methane adsorption capacity of shale were investigated by employing low pressure nitrogen adsorption, scanning electron microscopy (SEM), and methane adsorption experiments. Frenkel–Halsey–Hill (FHH) model was also used to calculate the fractal parameters of nanoscale pores in shale. The results showed that nanoscale pores in 12 shale samples have obvious fractal features. All the fractal curves of these shale samples can be divided into two segments, which are cut off by [Formula: see text], and the fractal dimensions of these two segments vary from 2.48 to 2.92 [Formula: see text] and 2.42 to 2.80 [Formula: see text], respectively. Based on SEM images, it is found that self-similarity of organic pore systems in shales refers to two aspects. One is that relatively large-scale and small-scale pores have similar formation properties and types, which are of elliptical shape with rough surface. The other is that some small-scale pores are formed by rough surface of relatively large pores. The results also demonstrate that methane adsorption capacity of shale samples increase with increasing total organic carbon (TOC) contents. This is mainly because organic matter is rich in pores and has relatively large fractal dimension values. Larger fractal dimensions indicate rougher pore surfaces and could form more small-scale organic pores. These organic pores would provide more space for methane adsorption.

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Mechanisms of shale gas adsorption: Evidence from thermodynamics and kinetics study of methane adsorption on shale

Cited by 229 publications

References 91 publications

Almond Shell-Derived, Biochar-Supported, Nano-Zero-Valent Iron Composite for Aqueous Hexavalent Chromium Removal: Performance and Mechanisms

Almond Shell-Derived, Biochar-Supported, Nano-Zero-Valent Iron Composite for Aqueous Hexavalent Chromium Removal: Performance and Mechanisms

Influencing Factors and Mathematical Prediction of Shale Adsorbed Gas Content in the Upper Triassic Yanchang Formation in the Ordos Basin, China

Fractal Characteristics of Nanoscale Pores in Shale and Its Implications on Methane Adsorption Capacity

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