Journal article 61 views
A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
Jinlong Fu,
Min Wang 
,
Bin Chen,
Jinsheng Wang,
Dunhui Xiao,
Min Luo,
Ben Evans
,
Bin Chen,
Jinsheng Wang,
Dunhui Xiao,
Min Luo,
Ben Evans
Engineering with Computers, Volume: 39, Issue: 6, Pages: 3895 - 3926
Swansea University Author:
Ben Evans
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/s00366-023-01841-8
Abstract
A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
| Published in: | Engineering with Computers |
|---|---|
| ISSN: | 0177-0667 1435-5663 |
| Published: |
Springer Science and Business Media LLC
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa70873 |
| Keywords: |
Porous rocks; Permeability prediction; Microstructural characterization; Lattice Boltzmann simulation; Feature selection; Data-driven modeling |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
The authors would like to acknowledge the support of EPSRC grant: PURIFY (EP/V000756/1), Swansea University (FSE Impact Fund), Higher Education Funding Council for Wales (COVID-19 Higher Education Student Support Fund), and Great Britain China Centre (Chinese Students Award). |
| Issue: |
6 |
| Start Page: |
3895 |
| End Page: |
3926 |