Effects of nano-pore wall confinements on rarefied gas dynamics in organic rich shale reservoirs

Gupta, Nupur; Fathi, Ebrahim; Belyadi, Fatemeh

doi:10.1016/j.fuel.2018.01.120

Cited by 27 publications

(10 citation statements)

References 47 publications

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“…Despite its disadvantages, the literature shows multiple examples of the application of Molecular Dynamics for shale pore structure characterization, e.g., [71]. The method has been used mainly to understand the behavior and the diffusion of different gasses in porous media that could impact the adsorption capacity or related flow properties [47,[118][119][120][121][122].…”

Section: Advanced Methodsmentioning

confidence: 99%

Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization

Medina-Rodriguez

Alvarado

2021

Energies

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The analysis of porosity and pore structure of shale rocks has received special attention in the last decades as unconventional reservoir hydrocarbons have become a larger parcel of the oil and gas market. A variety of techniques are available to provide a satisfactory description of these porous media. Some techniques are based on saturating the porous rock with a fluid to probe the pore structure. In this sense, gases have played an important role in porosity and pore structure characterization, particularly for the analysis of pore size and shapes and storage or intake capacity. In this review, we discuss the use of various gases, with emphasis on N2 and CO2, for characterization of shale pore architecture. We describe the state of the art on the related inversion methods for processing the corresponding isotherms and the procedure to obtain surface area and pore-size distribution. The state of the art is based on the collation of publications in the last 10 years. Limitations of the gas adsorption technique and the associated inversion methods as well as the most suitable scenario for its application are presented in this review. Finally, we discuss the future of gas adsorption for shale characterization, which we believe will rely on hybridization with other techniques to overcome some of the limitations.

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Section: Advanced Methodsmentioning

confidence: 99%

Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization

Medina-Rodriguez

Alvarado

2021

Energies

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“…Numerous techniques such as lattice Boltzmann method, molecular dynamics, direct simulation Monte Carlo, and pore network modeling have been used to study the transport mechanisms of shale gas (Golparvar et al, ; Gupta et al, a; Li et al, ; Mehmani et al, ; Yu et al, , ; Zhang et al, ). Among these methods, molecular dynamics simulation is built on Newton mechanics, which is able to exactly depict the mechanical and dynamical behavior of each particle at the nanoscale.…”

Section: Methodsmentioning

confidence: 99%

“…Lattice Boltzmann method is virtually equivalent to the computation of the Navier‐Stokes equation at the macroscale and can be used to solve the microscale flow by introducing microscale boundary conditions such as gas slippage and gas adsorption effect. Nevertheless, the complex geometric boundaries of multiscale shale samples make it challenging to accurately impose these boundary conditions (Gupta et al, b; Yu et al, ; Zhang et al, ). Different from molecular dynamics and lattice Boltzmann method, pore network modeling can precisely characterize the geometric, topological properties of pore space, and spatial distribution of shale rocks, which has been successfully employed to simulate gas flow in unconventional formation like shales (Tahmasebi & Kamrava, ; Yu et al, ).…”

Section: Methodsmentioning

confidence: 99%

Pore‐Scale 3D Dynamic Modeling and Characterization of Shale Samples: Considering the Effects of Thermal Maturation

Tahmasebi

et al. 2020

JGR Solid Earth

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The development of shale gas necessitates accurate modeling and characterization of these complicated formations, at both small and large scales. At the small scale, the studies based on experimental techniques have uncovered that the components and pore types in shales vary dramatically. Several pore types are identified and varied when the thermal maturation of shales changes. Therefore, accurate modeling and characterization of shale samples require taking such dynamic variations into consideration. This study presents a novel, dynamic, and three-dimensional (3D) modeling technique considering pore-system variation when the thermal maturation changes. The technique can construct dynamic shale models based on quartet structure generation set algorithm and morphological operation. This method can include various elements available in the shale samples in a very accurate way when the dynamic processes are reproduced. To evaluate the performance of the presented technique, 12 dynamic 3D shale models of three cases are constructed. These models are then characterized by analyzing the fractions of components and pores, pore and throat size distributions, coordination number distribution, fractal dimension, and tortuosity. Besides, gas transport in these dynamic 3D shale models is also simulated using pore network modeling to demonstrate the permeability variation of these models. Moreover, the fractions of interparticle and intraparticle pores and cementation degree are changed to further illustrate the capability of the developed algorithm. This study reveals such a dynamic modeling technique is a robust tool to construct various porous media with complicated elements and pores, which is not limited to shale samples. Key Points:• A novel, dynamic, and three-dimensional modeling technique considering pore-system evolution was presented • Generated shale models were characterized by analyzing the geometric, topological, and transport properties of pore systems • The simulation of the gas flow in shale models considers the viscous flow, Knudsen diffusion, and surface diffusion Correspondence to:

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“…Basically, fluid dynamics can involve the motion of distributions/populations of fabricated particles which can stream and colloid along a Cartesian lattice. LBM has been employed in a broad range of engineering applications such as single-phase flow [5][6][7] , multiphase flow [8][9][10][11] , phase-change heat transfer 10,12 , turbulent regime in various transport phenomena [13][14][15][16][17] , and solving nonlinear partial differential equations (NPDEs) including convection-diffusion equations [18][19][20][21][22][23][24] . The kinetic basis of LBM makes it a powerful tool in the modeling of interfacial phenomena in the multiphase flow systems [25][26][27] .…”

Section: Introductionmentioning

confidence: 99%

“…Basically, fluid dynamics can involve the motion of distributions/populations of fabricated particles which can stream and colloid along a Cartesian lattice. LBM has been employed in a broad range of engineering applications including single-phase flow, − multiphase flow, − heat transfer due to phase-change, , turbulent regime in a variety of transport phenomena, − and solving nonlinear partial differential equations (NPDEs) including convection–diffusion equations. − The kinetic basis of LBM makes it a powerful tool in the modeling of interfacial phenomena in multiphase flow systems. − Although the origin of LBM is molecular dynamic kinetic which is more fundamental compared to the continuum approaches, it is capable of recovering the traditional macroscopic scale continuity and Navier–Stokes (N–S) equations. In the absence of required meshes movement, it can be parallelized due to locality of most of the computations.…”

Section: Introductionmentioning

confidence: 99%

Central-Moments-Based Lattice Boltzmann for Associating Fluids: A New Integrated Approach

2020

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Dynamic and thermodynamic behavior of associating fluids play a crucial role in a variety of engineering and science disciplines. Cubic plus association equation of state (CPA EOS) is implemented in a central-moments-based lattice Boltzmann method (LBM) in order to mimic the thermodynamic behavior of associating fluids. The pseudopotential approach is selected to model the multiphase thermodynamic characteristics such as reduced density of associating fluids. The priority of central moments-based approach over multiple-relaxation-time collision operator is shown by performing double shear layers. The integration of central-moments-based LBM and CPA EOS is useful to simulate associating fluids at high flow rate conditions, which is extended to high-density ratio scenarios by increasing the anisotropy order of gradient operator. In order to increase the stability of the model, a higher anisotropy order of the gradient operator is implemented; about 34 present reduction in spurious velocities is noticed in some cases. The type of gradient operator considerably affects the model thermodynamic consistency. Finally, the model is validated by observing a straight line in the Laplace law test. Prediction of thermodynamic behaviours of associating fluids is of significance in biological processes as well as fluid flow in porous media.

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Effects of nano-pore wall confinements on rarefied gas dynamics in organic rich shale reservoirs

Cited by 27 publications

References 47 publications

Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization

Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization

Pore‐Scale 3D Dynamic Modeling and Characterization of Shale Samples: Considering the Effects of Thermal Maturation

Central-Moments-Based Lattice Boltzmann for Associating Fluids: A New Integrated Approach

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