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Surrogate‐Assisted Bayesian Inference of Fracture Network Parameters From Elastic Waves: A Sensitivity‐Guided Approach
Zhang, Le
Department of Geology Ghent University Ghent Belgium;Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands.
ORCID iD:
0000-0002-0820-0774
Lei, Qinghua
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Air, Water and Landscape Sciences. Department of Earth Sciences Uppsala University Uppsala Sweden.
ORCID iD:
0000-0002-3990-4707
Dong, Longjun
School of Resources and Safety Engineering Central South University Changsha China.
ORCID iD:
0000-0002-0908-1009
Jiang, Chuanyin
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Air, Water and Landscape Sciences. Department of Earth Sciences Uppsala University Uppsala Sweden.
Hermans, Thomas
Department of Geology Ghent University Ghent Belgium.
ORCID iD:
0000-0001-9522-1540
Show others and affiliations
2026 (English)
In:
Journal of Geophysical Research: Machine Learning and Computation, ISSN 2993-5210, Vol. 3, no 4, article id e2025JH001201
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2026. Vol. 3, no 4, article id e2025JH001201
National Category
Geotechnical Engineering and Engineering Geology Geophysics Multidisciplinary Geosciences
Identifiers
URN:
urn:nbn:se:uu:diva-594482
DOI:
10.1029/2025jh001201
OAI: oai:DiVA.org:uu-594482
DiVA, id:
diva2:2087275
Available from:
2026-07-20
Created:
2026-07-20
Last updated:
2026-07-20
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Dong, Longjun
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