Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Explore
Search
Special collections
Statistics
News
Help
Start on ORBi
Deposit
Profile
Publication List
Add your ORCID
Tutorials
Legal Information
Training sessions
About
What's ORBi ?
Impact and visibility
Around ORBi
About statistics
About metrics
OAI-PMH
ORBi team
Release Notes
Back
Home
Detailled Reference
Download
Poster (Scientific congresses and symposiums)
Uncertainty quantification of the subsurface water content through BEL1D interpretation of SNMR data
Michel, Hadrien
;
Hermans, Thomas
;
Nguyen, Frédéric
2019
•
Groundwater Quality 2019
Permalink
https://hdl.handle.net/2268/244876
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
GQ2019_poster_HM.pdf
Author postprint (452.14 kB)
Download
All documents in ORBi are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Keywords :
Applied Geophysics; Groundwater; Bayesian Evidential Learning; Surface Nuclear Magnetic Resonance
Disciplines :
Geological, petroleum & mining engineering
Author, co-author :
Michel, Hadrien
;
Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée
Hermans, Thomas;
Universiteit Gent - UGent > Faculty of Sciences > Department of Geology
Nguyen, Frédéric
;
Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée
Language :
English
Title :
Uncertainty quantification of the subsurface water content through BEL1D interpretation of SNMR data
Publication date :
September 2019
Event name :
Groundwater Quality 2019
Event place :
Liège, Belgium
Event date :
du 9 septembre 2019 au 12 septembre 2019
Audience :
International
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 17 February 2020
Statistics
Number of views
45 (8 by ULiège)
Number of downloads
38 (2 by ULiège)
More statistics
Bibliography
Similar publications
Contact ORBi