Effect of Surface Type on the Flow Characteristics in Shale Nanopores

Zhan, Shiyuan; Su, Yuliang; Lu, Mingjing; Cai, Mingyu; Fu, Jingang; Liu, Zupeng; Wang, Kaiyu; Han, Qiang

doi:10.1155/2021/6641922

Cited by 6 publications

(3 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This contrast in total adsorption might cause relatively larger deviations in calculations such as reservoir capacity. Moreover, we examined the solid−fluid interaction potential based on the Lennard-Jones potential (6)(7)(8)(9)(10)(11)(12), which was used in the simulations. The results show that the solid−fluid interaction energy between the graphene sheets in the walls and fluid particles (pure methane and ethane) increased as the pore size decreased.…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, the adsorption of methane and ethane on graphene nanopores is investigated, and researchers used molecular dynamics simulations to study the adsorption of methane and ethane on graphene nanopores. They found that the adsorption of methane was more favorable than the adsorption of ethane and that the adsorption energy increased with decreasing pore size …”

Section: Introductionmentioning

confidence: 99%

“…They found that the adsorption of methane was more favorable than the adsorption of ethane and that the adsorption energy increased with decreasing pore size. 9 The constituents of the shale matrix include organic matter and inorganic substances, 10 with a huge amount of shale gas essentially adsorbed in organic matter nanopores. Organic-rich shale gas contains a significant amount of gas stored in the adsorbed state.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Grand Canonical Monte Carlo Simulation Experiences of Methane and Ethane Adsorption Behaviors on Simplified Organic Shale Formed by Graphene Layering

Moradi,

Mahmoudi,

Sadeghzadeh

2023

Energy Fuels

View full text Add to dashboard Cite

Methane and ethane gases are two major components in shale gas, and the adsorption isotherms are first measured to assess the relative adsorption capacity of organic and inorganic shale structures. In this comparative study, essentially using Monte Carlo and Grand Canonical Monte Carlo (MD+GCMC) simulations with the LAMMPS package, the adsorption behavior of pure methane and ethane in one-, two-, three-, and fourlayer graphene slit-shaped with apertures ranging from 1.0 to 4.0 nm, for pressures up to 1 MPa (1,10,20 and 30 MPa) and temperatures of 320 K, were examined. Consequently, the adsorption capacity in apertures less than 2 nm was found to be sensitive to the number of graphene layers in the wall of nanopores, and the probability of methane and ethane adsorption through graphene nanopores was related to the thickness of the graphene nanopores. The results of MD+GCMC simulations showed that methane and ethane adsorption in multilayer graphenes was most sensitive to the thickness of the graphene layer that constructs the walls of nanopores with various apertures (10, 20, 30, and 40 Å). The observed interaction potential energy and the density profile changes in the gas distributions revealed an increased adsorption of methane and ethane through monolayer graphene nanopores (Type-1) compared with that through two-layer (Type-2), three-layer (Type-3), and four-layer (Type-4) graphene nanopores. The research on the wall thickness of nanopores could help us to improve our understanding of the factors that affect the adsorption of gases in nanopores. This could lead to the development of new and improved methods for gas separation and membrane design. The investigation is a promising area of research with the potential to lead to a variety of new applications. Furthermore, this study will reveal the uncertainties of the provided results of molecular simulations, which can be useful in applications of molecular models in molecular simulations.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Grand Canonical Monte Carlo Simulation Experiences of Methane and Ethane Adsorption Behaviors on Simplified Organic Shale Formed by Graphene Layering

Moradi,

Mahmoudi,

Sadeghzadeh

2023

Energy Fuels

View full text Add to dashboard Cite

show abstract

Novel methodology to couple decline curve analysis with CFD reservoir simulations for complex shale gas reservoirs

Khadri,

Al‐Marri,

Nasser

et al. 2024

Can J Chem Eng

View full text Add to dashboard Cite

Shale reservoirs are highly complex and are difficult to study using conventional reservoir simulation tools. This study introduces a novel methodology for estimating production from complex shale gas reservoirs by coupling decline curve analysis (DCA) with computational fluid dynamics (CFD) simulations. The proposed method uses exponential DCA to analyze production data from a dual porosity–permeability shale gas transport model. These complexities include fracture characteristics, geomechanical properties, nanopore confinement effects, and multiple flow mechanisms contributing to the total production performance. The shale gas transport model is validated through historical production data from Marcellus shale. The new methodology also tests fracture characteristics. It shows that increased porosity and permeability will increase the recoverable reserves but will have varying effects on the decline rate. The paper demonstrates the advantages of the proposed methodology over conventional reservoir simulation tools. It provides insights into the factors affecting shale gas production performance through the inclusion of the complexities of an unconventional shale gas reservoir. The paper provides a proof of concept on the particular reservoir of which the field data is provided—Barnett and Marcellus Shale.

show abstract

Review on Pore-Scale Physics of Shale Gas Recovery Dynamics: Insights from Molecular Dynamics Simulations

et al. 2022

View full text Add to dashboard Cite

Reliable prediction of gas recovery from shale formations is essential for achieving the full potential of shale gas. A distinguishing feature of shales is that nanoscale pores dominate their porosity. Hence, confinement and fluid−wall interactions modulate shale gas storage, transport, and recovery, which are neglected in conventional gas recovery models. Because these nanoscale effects can be simulated using molecular dynamics (MD), related works have proliferated. Here, we review MD modeling of shale gas recovery at the pore scale. The design and simulation protocols of MD systems for studying gas recovery are surveyed first. Then, the gas recovery in three scenarios, i.e., recovery of single-component gas, recovery of multicomponent gas, and gas recovery involving multiphase flows, are reviewed. In particular, works exploring and elucidating new pore-scale phenomena and guiding and validating new pore-scale continuum models are highlighted. Finally, we recommend best practices in MD shale gas studies and suggest several research directions.

show abstract

Effect of Surface Type on the Flow Characteristics in Shale Nanopores

Cited by 6 publications

References 69 publications

Grand Canonical Monte Carlo Simulation Experiences of Methane and Ethane Adsorption Behaviors on Simplified Organic Shale Formed by Graphene Layering

Grand Canonical Monte Carlo Simulation Experiences of Methane and Ethane Adsorption Behaviors on Simplified Organic Shale Formed by Graphene Layering

Novel methodology to couple decline curve analysis with CFD reservoir simulations for complex shale gas reservoirs

Review on Pore-Scale Physics of Shale Gas Recovery Dynamics: Insights from Molecular Dynamics Simulations

Contact Info

Product

Resources

About