2014
DOI: 10.1016/j.fuel.2013.08.041
|View full text |Cite
|
Sign up to set email alerts
|

A pore network model for simulating non-ideal gas flow in micro- and nano-porous materials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
71
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 138 publications
(72 citation statements)
references
References 52 publications
1
71
0
Order By: Relevance
“…This may be the important reason for the remarkable difference between these two types of capacitors. Another reason may be the complexity of channels for ion transportation (Ma et al 2014). …”
Section: Preliminary Explanationmentioning
confidence: 99%
“…This may be the important reason for the remarkable difference between these two types of capacitors. Another reason may be the complexity of channels for ion transportation (Ma et al 2014). …”
Section: Preliminary Explanationmentioning
confidence: 99%
“…However, building a pore network model for 3D flow simulations in heterogeneous fine-grained rocks is an unresolved issue. Some approaches extract 3D pore data directly from FIB-SEM [31] or use the Markov chain Monte Carlo (MCMC) reconstruction method on 2D images [32,33]. Whether these complex pore network models are representative for the sample is another uncertainty [17,31,34].…”
Section: Introductionmentioning
confidence: 99%
“…A two-dimensional dynamic network model of water flooding with solid-liquid molecule interaction was established in porous media [40]. Ma et al [41] proposed the pore-network flow model (PNFM) method to reconstruct a realistic three-dimensional micro model by extracting 2D shale sample sections, where each coefficient was usually indicative of a decrease in temperature and pressure within the space of van der Waals. So far, the interfacial effects have only been considered into one-or two-dimensional models, but in this paper the research addressing three-dimensional micro-network models with solid-liquid interfacial effects is emphasized.…”
Section: Introductionmentioning
confidence: 99%