REV-scale simulation of gas transport in shale matrix with lattice Boltzmann method

Zhao, Jinzhou; Fu, Dongyu; Li, Yongming; Jiang, Youshi; Xu, Wenjun; Chen, Xiyu

doi:10.1016/j.jngse.2018.07.008

Cited by 25 publications

(9 citation statements)

References 43 publications

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“…Since the latter strategy is based on the simulation results of LBM, not involving the calculation process may cause some solving problems . Actually, the implementation of slip and adsorption boundary conditions in LBM is very difficult with complicated geometries, which usually requires cumbersome preprocessing before the simulations. − …”

Section: Pore-scale Simulationsmentioning

confidence: 99%

Transport of Shale Gas in Microporous/Nanoporous Media: Molecular to Pore-Scale Simulations

Fan

et al. 2020

Energy Fuels

136

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As the typical unconventional reservoir, shale gas is believed to be the most promising alternative for the conventional resources in future energy patterns, attracting more and more attention throughout the world. Generally, the majority of shale gas is trapped within the tight shale rock with ultralow porosity (<10%) and ultrasmall pore size (as less as several nanometers). Thus, the accurate understanding of gas transport characteristic and its underlying mechanism through these microporous/nanoporous media is critical for the effective exploitation of shale reservoir. In this context, we present a comprehensive review on the current advances of multiscale transport simulations of shale gas in microporous/nanoporous media from molecular to pore-scale. For the gas transport in shale nanopores using molecular dynamics (MD) simulations, the structure and force parameters of various nanopore models, including organic models (graphene, carbon nanotubes, and kerogen) and inorganic models (clays, carbonate, and quartz), and flow simulation strategies (such as nonequilibrium molecular dynamics (NEMD) and Grand Canonical Monte Carlo simulations) are systematically introduced and clarified. The significant MD simulation results about gas transport characteristic in shale nanopores then are elaborated respectively for different factors, including pore size, ambient pressure, nanopore type, atomistic roughness, and pore structure, as well as multicomponent. Besides, the two-phase transport characteristic of gas and water is also discussed, considering the ubiquity of water in shale formation. For the lattice Boltzmann method (LBM) and pore network model (PNM) approaches to conduct pore-scale simulations, we briefly review its origins, modifications, and applications for gas transport simulations in a microporous/nanoporous shale matrix. Particularly, the upscaling methods to incorporate MD simulation into LBM and PNM frameworks are emphatically expounded in the light of recent attempts of MD-based pore-scale simulations. It is hoped that this Review would be helpful for the readers to build a systematical overview on the transport characteristic of shale gas in microporous/nanoporous media and subsequently accelerate the development of the shale industry.

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Section: Pore-scale Simulationsmentioning

confidence: 99%

Transport of Shale Gas in Microporous/Nanoporous Media: Molecular to Pore-Scale Simulations

Fan

et al. 2020

Energy Fuels

136

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“…Considering the Knudsen effect, Chen et al 203 introduced an enhanced LB model in the slipstream zone and computed the apparent permeability using the correction factors proposed by Beskok and Karniadakis-Civan. 204,205 Zhao et al 206 proposed an LBM at the REV scale to simulate gas transport in two-dimensional (2D) microporous media. The microporous media were reconstructed by using the optimized Quadrature-based Stochastic Generation Set (QSGS) method.…”

Section: Gas Transport Prediction With Lattice Boltzmann Simulationmentioning

confidence: 99%

“…Modeling methods of LBM: (a) the modeling process at the pore scale, and (b) the modeling process at the REV scale . [Panel (b) has been adapted with permission from ref . Copyright 2018, Elsevier.…”

Section: Gas Transport Prediction With Lattice Boltzmann Simulationmentioning

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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“…Finally, we could obtain these parameters, the distribution of pores and throats, pore size, surface porosity and morphological factors, etc. In this study, the Pearson coefficient was applied to quantitatively characterize the statistical distribution of congeners in porous media (Zhao et al, 2018). Pearson coefficient can be calculated by Eq.…”

Section: Figurementioning

confidence: 99%

The investigation of microporous structure and fluid distribution mechanism in tight sandstone gas reservoirs: A case study on the second member of Xujiahe gas reservoirs in Yuanba area

Guo

Fu²,

Li³

et al. 2022

Front. Energy Res.

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Tight sandstone reservoir is characterized by ultra-low porosity, complex microporous structure and water residues, which shows different gas storage and transport mechanism from conventional reservoirs. Therefore, effective development of tight sandstone gas reservoirs is faced with technical challenges. Microporous structures, distribution mechanism of fluid is a basic issue in gas reservoir evaluation. In this work, we take gas reservoir in the 2nd member of Xujiahe Formation in Yuanba area as an example to analyze the microscopic feature of pore structure and fluid distribution. The three-dimensional digital core has been applied to represent the real microporous structure. Specifically, a digital core reconstruction method based on SEM and casting slice images has been proposed. Ultimately, the mechanism of distribution, mode of occurrence of water residues in tight sandstone reservoirs has been simulated and quantitatively analyzed. The results show that the water residues could been visualized and categorized into three modes, water mass in corner, water film on surface, and water column in throat. The water residues could cause dramatic influence on pore structures, active pore size could be decreased with rising residual water saturation, the magnitude falls by over 50%. In addition, grain size would affect the distribution of water residues, which shows different percentage in medium and fine sand. Pore connectivity is another characteristic factor to describe the microporous structures. In this study, cluster marking algorithm has been applied to obtain the pore connectivity in tight sandstone with different grain size. In medium sand, the pore connectivity is dramatically decreased with rising water saturation, the downward trend become slower when water saturation reaches to 60%. Compared to fine sand, the tendency variation appears when water saturation reaches to 40%. This paper provides an applicable method to reveal the micro-scale reservoir properties and fluid distribution mechanisms in tight sandstone gas reservoirs.

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REV-scale simulation of gas transport in shale matrix with lattice Boltzmann method

Cited by 25 publications

References 43 publications

Transport of Shale Gas in Microporous/Nanoporous Media: Molecular to Pore-Scale Simulations

Transport of Shale Gas in Microporous/Nanoporous Media: Molecular to Pore-Scale Simulations

Reviews on Simulation Studies of Coalbed Gas Recovery and Transport Processes

The investigation of microporous structure and fluid distribution mechanism in tight sandstone gas reservoirs: A case study on the second member of Xujiahe gas reservoirs in Yuanba area

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