2022
DOI: 10.1016/j.jngse.2022.104798
|View full text |Cite
|
Sign up to set email alerts
|

Effect of wettability of shale on CO2 sequestration with enhanced gas recovery in shale reservoir: Implications from molecular dynamics simulation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
13
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 28 publications
(14 citation statements)
references
References 86 publications
1
13
0
Order By: Relevance
“…The MSD reflects the diffusion rate of particles and is a function of time. The greater the D , the greater the degree of molecular freedom in the system, and the less obvious the adsorption (Shi et al, 2022; Shi et al, 2023). The MSD changes of the water molecules on the surface of different minerals are shown in Figure 11.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The MSD reflects the diffusion rate of particles and is a function of time. The greater the D , the greater the degree of molecular freedom in the system, and the less obvious the adsorption (Shi et al, 2022; Shi et al, 2023). The MSD changes of the water molecules on the surface of different minerals are shown in Figure 11.…”
Section: Discussionmentioning
confidence: 99%
“…Chen et al (2020) introduced MD as a simulation technology to study the wetting behaviour of modified clay and compared it with the experimental measurement results, based on the principle of the solid drop method; the reliability of this method was confirmed. Shi et al (2022) studied the wettability of water in carbon dioxide on the surface of graphene by MD simulation. Shi et al (2023) used the MD simulation method to explore the water wetting process on the surface of four clay minerals (montmorillonite, kaolinite, chlorite and illite) in the shale reservoir at the micro‐level, which made up for the lack of experimental means and effectively improved the evaluation technology of shale reservoir.…”
Section: Introductionmentioning
confidence: 99%
“…Shi et al studied the effect of the wettability of shale on CO 2 enhanced gas recovery in shale reservoirs. 43 The adsorption capacity of the graphene surface for CO 2 is stronger than that of CH 4 on a wettability model, which has a guiding value for the exploitation of shale gas. Besides, shale gas contains other hydrocarbons in addition to methane.…”
Section: Molecular Models Of Shalementioning
confidence: 98%
“…It was found that the preferential adsorption of CO 2 on the surface reduces the activation energy for CH 4 diffusion, thus improving CH 4 mobility, which has proved the feasibility of the CO 2 -EGR project. Shi et al studied the effect of the wettability of shale on CO 2 enhanced gas recovery in shale reservoirs . The adsorption capacity of the graphene surface for CO 2 is stronger than that of CH 4 on a wettability model, which has a guiding value for the exploitation of shale gas.…”
Section: Molecular Models Of Shalementioning
confidence: 99%
“…Meanwhile, the volumetric method can be applied to monitor the pressure drop in each pressure step during the adsorption experiment, so as to indirectly estimate the gas adsorption rate data, thus evaluating the methane diffusion characteristics . In molecular simulation, methods including molecular mechanics, Brownian dynamics, grand canonical Monte Carlo (GCMC) method, and molecular dynamics (MD) simulation have been widely applied, which have been utilized to investigate the adsorption and diffusion behaviors of gases like methane and carbon dioxide in shale mineral slit pores like montmorillonite, illite, and calcite. In the empirical model, the commonly used monolayer adsorption models include Henry, Freundlich, Langmuir, and Toth models, which have different fitting conditions and precision. , Therefore, in the adsorption experiment, multiple adsorption models are generally used to fit and compare the experimental results.…”
Section: Introductionmentioning
confidence: 99%