Geophysical Inversion Using a Variational Autoencoder to Model an Assembled Spatial Prior Uncertainty-Reference-Cited by-同舟云学术

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Geophysical Inversion Using a Variational Autoencoder to Model an Assembled Spatial Prior Uncertainty

Published:2022-02-27 Issue:3 Volume:127 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:JGR Solid Earth

Author:

Lopez‐Alvis J.¹²^ORCID,Nguyen F.¹^ORCID,Looms M. C.²^ORCID,Hermans T.³^ORCID

Affiliation:

1. Urban and Environmental Engineering, Applied Geophysics University of Liege Liege Belgium

2. Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark

3. Department of Geology Ghent University Gent Belgium

Funder

H2020 Marie Skłodowska-Curie Actions

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB022581

Reference75 articles.

1. Numerical Applications of a Formalism for Geophysical Inverse Problems

2. Hybrid geological modeling: Combining machine learning and multiple-point statistics

3. Cross-borehole tomography with full-decay spectral time-domain induced polarization for mapping of potential contaminant flow-paths

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