Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Link opens in a new tab
Search content at New Jersey Institute of Technology
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
An anisotropic pore-network model to estimate the shale gas permeability
Di Zhang
, Xinghao Zhang
, Haohao Guo
, Dantong Lin
,
Jay N. Meegoda
, Liming Hu
Civil and Environmental Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An anisotropic pore-network model to estimate the shale gas permeability'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Pore Network Model
100%
Shale Gas
100%
Gas Permeability
100%
Anisotropic Pores
100%
Shale
80%
Pore Structure
40%
Shale Formation
40%
Coordination number
40%
Three-dimensional Pore Network Model
40%
Transport Mechanism
20%
Numerical Simulation
20%
Design Parameters
20%
China
20%
Anisotropy
20%
Porosity
20%
Prediction Tool
20%
Darcy Flow
20%
Micropore
20%
Specific Parameters
20%
Pore Throat Radius
20%
Permeability Test
20%
Shale Gas Extraction
20%
Qaidam Basin
20%
High Pressure Permeability Test
20%
Anisotropic Effect
20%
Pore Throat Distribution
20%
High-pressure Effects
20%
Hydraulic Connection
20%
Natural Gas Flow
20%
Engineering
Network Model
100%
Anisotropic
100%
Shale Gas
100%
Shale Formation
28%
Natural Gas Drilling
14%
Nanoscale
14%
Transport Mechanism
14%
Natural Gas
14%
Computer Simulation
14%
Hydraulics
14%
Design Parameter
14%
Porosity
14%
Test Result
14%
Darcy Flow
14%
Gas Flow
14%
Core Samples
14%
Anisotropic Effect
14%
Material Science
Gas Permeability
100%
Shale Gas
100%
Pore Structure
66%
Hydraulics
33%
Anisotropy
33%
Natural Gas
33%
Gas Flow
33%
Earth and Planetary Sciences
Shale Gas
100%
China
33%
Porosity
33%
Gas Flow
33%
Natural Gas
33%
Pore Scale
33%