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A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation

Jinlong Fu, Min Wang Orcid Logo, Bin Chen, Jinsheng Wang, Dunhui Xiao, Min Luo, Ben Evans Orcid Logo

Engineering with Computers, Volume: 39, Issue: 6, Pages: 3895 - 3926

Swansea University Author: Ben Evans Orcid Logo

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DOI (Published version): 10.1007/s00366-023-01841-8

Published in: Engineering with Computers
ISSN: 0177-0667 1435-5663
Published: Springer Science and Business Media LLC 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa70873
first_indexed 2025-11-10T16:01:38Z
last_indexed 2026-01-09T05:31:32Z
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spelling 2026-01-08T12:20:46.4414481 v2 70873 2025-11-10 A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false 2025-11-10 ACEM Journal Article Engineering with Computers 39 6 3895 3926 Springer Science and Business Media LLC 0177-0667 1435-5663 Porous rocks; Permeability prediction; Microstructural characterization; Lattice Boltzmann simulation; Feature selection; Data-driven modeling 1 12 2023 2023-12-01 10.1007/s00366-023-01841-8 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 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). 2026-01-08T12:20:46.4414481 2025-11-10T14:19:05.2731907 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Jinlong Fu 1 Min Wang 0000-0002-4454-2480 2 Bin Chen 3 Jinsheng Wang 4 Dunhui Xiao 5 Min Luo 6 Ben Evans 0000-0003-3662-9583 7
title A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
spellingShingle A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
Ben Evans
title_short A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
title_full A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
title_fullStr A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
title_full_unstemmed A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
title_sort A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation
author_id_str_mv 3d273fecc8121fe6b53b8fe5281b9c97
author_id_fullname_str_mv 3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
author Ben Evans
author2 Jinlong Fu
Min Wang
Bin Chen
Jinsheng Wang
Dunhui Xiao
Min Luo
Ben Evans
format Journal article
container_title Engineering with Computers
container_volume 39
container_issue 6
container_start_page 3895
publishDate 2023
institution Swansea University
issn 0177-0667
1435-5663
doi_str_mv 10.1007/s00366-023-01841-8
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 0
active_str 0
published_date 2023-12-01T05:33:50Z
_version_ 1856987024110649344
score 11.096068

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