An integrated multiscale model for gas storage and transport in shale reservoirs

Takbiri-Borujeni, Ali; Fathi, Ebrahim; Kazemi, Mohammad; Belyadi, Fatemeh

doi:10.1016/j.fuel.2018.10.037

Cited by 30 publications

(13 citation statements)

References 47 publications

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“…Shale gas is a mixture of alkanes and a little carbon dioxide and nitrogen. Many attempts have been taken to study the alkane and displacement gas physical and flow behavior in shale nanopores, including adsorption/desorption property, − diffusion mechanisms, − and flow characteristics. − Owing to the scale effect, each process is far distinctive from the macro theory in nanopores. Even under the supercritical conditions, shale gas adsorption and flow in nanopores are also ambiguous; an in-depth understanding of adsorption and the diffusion mechanism in a confinement space is essential for predicting reservoir storage and estimating the flow character of shale gas reservoir.…”

Section: Introductionmentioning

confidence: 99%

Transport Property of Methane and Ethane in K-Illite Nanopores of Shale: Insights from Molecular Dynamic Simulations

Zhang

Liu

et al. 2020

Energy Fuels

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Shale gas is a multicomponent mixture stored in nanopores, which consists mainly of methane (CH 4 ) and ethane (C 2 H 6 ). The transport property of shale gas in clay nanopores is a fundamental issue not only for accelerating exploitation of shale gas but also for grasping the diffusivity mechanism of gas mixtures in nanostructures. In this work, the transport property of CH 4 and C 2 H 6 in K-illite nanopores of shale is investigated by molecular dynamics combined with Fick's first law. The equilibrium molecular dynamics (EMD) is utilized to calculate the binary Onsager coefficients. The thermodynamics factor, the self-, Maxwell−Stefan (MS), and transport diffusion coefficients of CH 4 -C 2 H 6 are estimated, and the effects of pressure, temperature, and apertures are analyzed. The results show that the diffusion of gas in a confined space satisfies the linear law. The self-diffusion coefficient of CH 4 is greater than that of C 2 H 6 , owing to the fact that surface diffusivity of C 2 H 6 is lower than that of CH 4 . The MS and transport diffusion coefficients of CH 4 are lower than those of C 2 H 6 . A high pressure can inhibit the diffusivity of alkanes. The larger aperture and higher temperature can enhance the diffusivity property. The reduction rate of transport diffusion selectivity for C 2 H 6 over CH 4 decreases with increasing aperture width. With increasing width of apertures, C 2 H 6 has better diffusivity owing to the interaction of gas molecules and the wall surface. The competitive diffusion of C 2 H 6 and CH 4 is more sensitive to the formation conditions of temperature and pressure, and the transport selectivity of C 2 H 6 over CH 4 can be used to assess the diffusivity capacity between binary gas mixtures in nanopores. It is expected that this work can accommodate the secure and efficient exploitation of shale gas in nanopores with significant insights and quantitative predictions regarding the formation conditions of temperature and pressure.

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Section: Introductionmentioning

confidence: 99%

Transport Property of Methane and Ethane in K-Illite Nanopores of Shale: Insights from Molecular Dynamic Simulations

Zhang

Liu

et al. 2020

Energy Fuels

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“…Similarly to MD simulations, the literature contains evidence of the use of Monte Carlo Simulation for shale pore structure characterization [123]. However, in a similar way, the preferred use is to understand the adsorption mechanism of gases like methane and carbon dioxide in shales [81,119,[124][125][126][127][128].…”

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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“…Researchers have recently acknowledged the benefits of the lattice Boltzmann method (LBM) in unconventional gas flow simulation, and a large amount of research work incorporating this method has been published. ,,,,− The research object of LBM is the fluid micelle, which is larger than single molecules but smaller than particles in the continuum hypothesis. Thus, the method has mesoscale characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…In the above studies, the influence of a nonideal gas on gas flow is ignored. Yao et al, 18 Zhao et al, 54 Gupta et al, 55 Takbiri−Borujeni et al, 56 Yu et al, 48 and Xu et al 57 built microscale shale gas transport LB models based on the single-component Shan−Chen model and introduced the real gas equation of state (EOS) into the model using the potential function. Ren et al 21 established a shale gas flow model in nanopores based on the LBGK model, which takes into account the influence of a nonideal gas on the flow.…”

Section: Introductionmentioning

confidence: 99%

Shale Gas Transport in Nanopores: Contribution of Different Transport Mechanisms and Influencing Factors

et al. 2021

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The classical Darcy’s law cannot effectively describe the microscopic flow rules of shale gas. In addition, conducting gas transport experiments in nanopores is difficult, and the correctness of the simulation results is not guaranteed. Studies on the flow and transmission of shale gas in microscopic nanopores can effectively guide the macroscopic numerical simulation of shale gas reservoirs, which is of great significance to the economical and efficient development of such reservoirs. In this work, the dimensionless relaxation time expression is modified, and the Peng–Robinson equation of state (P–R EOS) is introduced to the microscale gas flow lattice Boltzmann model. The influences of viscous flow, slippage effect, boundary Knudsen layer, adsorbed gas layer, and surface diffusion are considered, and the results are combined with the real isothermal adsorption experimental data of shale samples collected from the Longmaxi formation in Sichuan Basin. Finally, the contributions of various transport mechanisms to shale gas flow in nanopores and their influencing factors are studied. Results show that the gas velocity and mass flux (Q) obtained using the ideal gas EOS are higher than those obtained using P–R EOS under high pressure. When the effective pore diameter (H e) is less than 5 nm, surface diffusion and its induced free flow are the main transport mechanisms of shale gas flow in nanopores. Viscous flow becomes the main transport mechanism when H e exceeds 20 nm. H e, pressure, and shale adsorption capacity significantly affect the contribution rate of each transport mechanism to the total Q of shale gas. By comparison, the influence of temperature on the Q of shale gas is relatively small and can be neglected under high pressure.

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An integrated multiscale model for gas storage and transport in shale reservoirs

Cited by 30 publications

References 47 publications

Transport Property of Methane and Ethane in K-Illite Nanopores of Shale: Insights from Molecular Dynamic Simulations

Transport Property of Methane and Ethane in K-Illite Nanopores of Shale: Insights from Molecular Dynamic Simulations

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

Shale Gas Transport in Nanopores: Contribution of Different Transport Mechanisms and Influencing Factors

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