A review of gas transport and adsorption mechanisms in two‐component methane‐carbon dioxide system

Guo, Chaohua; Li, Rongji; Sun, Jiwen; Wang, Xin; Liu, Hongji

doi:10.1002/er.5114

Cited by 11 publications

(8 citation statements)

References 89 publications

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“…The main component of shale gas is methane (CH 4 ), and it includes a small amount of ethane (C 2 H 6 ), carbon dioxide (CO 2 ), and other hydrocarbon gases, which exist in the shale in the form of free (free gas), adsorbed, and dissolved states. Figure shows the distribution of different forms of shale gas in reservoirs. , Free gas is mainly stored in fractures and large pores in the matrix, and its content depends on shale porosity and gas saturation. Adsorbed gas typically adheres to the pore surface of organic matter (mainly composed of kerogen), and its content is approximately 20%–85% of the total storage volume, depending on the specific value.…”

Section: Introductionmentioning

confidence: 99%

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Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives

et al. 2023

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The gas transport mechanism in shale reservoirs is extremely complex and is a typical multiscale and multiphysics coupled transport process, considering the complex shale rock structure, wide distribution of micropores and nanopores in shale gas reservoirs, diverse gas occurrence forms, and large pore size spans. An accurate understanding of the shale gas transport process and mechanism is important for effective exploration of shale gas reservoirs. In this work, a review of the recent progress in the prediction of shale gas transport in porous media is presented. The basic theory of gas transport in nanopores is discussed. The gas transport in organic and inorganic matter and the gas adsorption effect are covered. Then, gas transport simulations with conventional multiscale numerical methods, including molecular dynamics and lattice Boltzmann simulations, are reviewed, and the multiscale modeling methods are discussed. Furthermore, the application of artificial intelligence (AI) methods in shale gas transport research is discussed. The focus is on the characterization of the shale porous geometry, including porosity, tortuosity, pore size distribution, and reconstruction of the shale porous medium. The application of AI-based methods such as neural networks and machine learning for the prediction of porous flow properties is discussed. This study intends to provide a comprehensive review of shale gas transport characteristics and to enable the accessibility of AI tools in the research of shale gas.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives

et al. 2023

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“…Production process of coalbed methane. , Gas seepage within fractures governs the dewatering and the initial stable production phase. The viscous flow of gas within larger matrix pores controls the production of the decline phase.…”

Section: Introductionmentioning

confidence: 99%

“…[Portions of this figure have been adapted with permission from ref . Copyright 2023, Elsevier, Ltd. Other portions have been reproduced with permission from ref . Copyright 2019, John Wiley and Sons.…”

Section: Introductionmentioning

confidence: 99%

Reviews on Simulation Studies of Coalbed Gas Recovery and Transport Processes

Wang,

Lin,

Zhao

2023

Energy Fuels

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Coal and shale contain enormous natural gas resources. The reservoir structures are complex, with an extensive distribution of micropores and nanopores, leading to intricate gas transport mechanisms. Simulation methods play a crucial role in unraveling the complex transport phenomena associated with coal-bed methane and shale gas. This Review examines the recent advances in simulating gas transport in porous media for predicting gas migration. It discusses the fundamental theories of gas transport in nanoscale pores, encompassing the gas transport mechanisms in porous media and the fundamental equations involved in the simulation methods. Furthermore, a review is provided on the molecular dynamics (MD) and lattice Boltzmann methods. Emphasis is placed on the methods of pore reconstruction, including pore volume, pore size, and pore shape, and their application in diffusion and transport. The advantages and limitations of these two simulation modeling methods are also discussed. The application of various coupled methods in the study of gas transport in porous media is explored, with a key focus on appropriately handling scale translations in flow modeling. This work enhances the understanding of coalbed gas transport and dispersion behavior by summarizing simulation methods for coalbed gas and shale gas transport. Coal reservoirs, compared to shale, exhibit different gas pressures and organic compositions. Hence, the gas transport mechanisms in coal nanopores are still not fully understood. Further research and analysis are needed to investigate how shale gas models can be applied to coalbed gas.

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“…In recent years, the experiments of methane adsorption dynamic have been conducted in many publications by using volumetric and gravimetric methods [5][6][7]. Gas-in-place evaluation can be accurately calculated based on the experimental measurements from laboratory [8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Temperature Effect on Methane Adsorption Dynamic and Isotherm

Zhang

Xiong

et al. 2022

Energies

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Knowing the methane adsorption dynamic is of great importance for evaluating shale gas reserves and predicting gas well production. Many experiments have been carried out to explore the influence of many aspects on the adsorption dynamic of methane on shale rock. However, the temperature effect on the adsorption dynamic as a potential enhanced shale gas recovery has not been well addressed in the publications. To explore the temperature effect on the adsorption dynamic of methane on gas shale rock, we conducted experimental measurement by using the volumetric method. We characterized the adsorption dynamic of methane on gas shale powders and found that the curves of pressure response at different pressure steps and temperatures all have the same tendency to decrease fast at first, then slowly in the middle and remain stable at last, indicating the methane molecules are mainly adsorbed in the initial stage. Methane adsorption dynamic and isotherm can be well fitted by the Bangham model and the Freundlich model, respectively. The constant z of the Bangham model first decreases and then increases with equilibrium pressure increasing at each temperature, and it decreases with temperature increasing at the same pressure. The adsorption rate, constant k of the Bangham model, is linearly positively correlated with the natural log of the equilibrium pressure, and it decreases with temperature increasing at the same pressure. Constant K and n of the Freundlich model all decrease with temperature increasing, indicating that low temperatures are favorable for methane adsorption on shale powders, and high temperatures can obviously reduce constant K and n of the Freundlich model. Finally, we calculated isosteric enthalpy and found that isosteric enthalpy is linearly positively correlated with the adsorption amount. These results will be profoundly meaningful for understanding the mechanism of methane adsorption dynamic on shale powders and provide a potential pathway to enhance shale gas recovery.

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A review of gas transport and adsorption mechanisms in two‐component methane‐carbon dioxide system

Cited by 11 publications

References 89 publications

Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives

Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives

Reviews on Simulation Studies of Coalbed Gas Recovery and Transport Processes

Experimental Study of Temperature Effect on Methane Adsorption Dynamic and Isotherm

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