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Adrian S. Barfod
Adrian S. Barfod
PhD Geophysics & Geostatistics
Verified email at eng.au.dk - Homepage
Title
Cited by
Cited by
Year
Stochastic simulation by image quilting of process-based geological models
J Hoffimann, C Scheidt, A Barfod, J Caers
Computers & Geosciences 106, 18-32, 2017
442017
Compiling a national resistivity atlas of Denmark based on airborne and ground-based transient electromagnetic data
AAS Barfod, I Møller, AV Christiansen
Journal of Applied Geophysics 134, 199-209, 2016
402016
Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods
AAS Barfod, I Møller, AV Christiansen, AS Høyer, J Hoffimann, ...
Hydrology and Earth System Sciences 22 (6), 3351-3373, 2018
342018
Machine learning based fast forward modelling of ground-based time-domain electromagnetic data
TS Bording, MR Asif, AS Barfod, JJ Larsen, B Zhang, DJ Grombacher, ...
Journal of Applied Geophysics 187, 104290, 2021
212021
Contributions to uncertainty related to hydrostratigraphic modeling using Multiple-Point Statistics
AAS Barfod, TN Vilhelmsen, F Jørgensen, AV Christiansen, J Straubhaar, ...
21*
Combining clustering methods with MPS to estimate structural uncertainty for hydrological models
TN Vilhelmsen, E Auken, AV Christiansen, AS Barfod, PA Marker, ...
Frontiers in Earth Science 7, 181, 2019
172019
Effect of data pre-processing on the performance of neural networks for 1-D transient electromagnetic forward modeling
MR Asif, TS Bording, AS Barfod, DJ Grombacher, PK Maurya, ...
IEEE Access 9, 34635-34646, 2021
142021
Automatic processing of time domain induced polarization data using supervised artificial neural networks
AS Barfod, L Lévy, JJ Larsen
Geophysical Journal International 224 (1), 312-325, 2021
132021
Successful sampling strategy advances laboratory studies of NMR logging in unconsolidated aquifers
AA Behroozmand, R Knight, M Müller‐Petke, E Auken, AAS Barfod, ...
Geophysical Research Letters 44 (21), 11,021-11,029, 2017
82017
Improving computational efficiency of forward modelling for ground-based time-domain electromagnetic data using neural networks
T Sylvester Bording, AS Barfod, B Zhang, JJ Larsen, E Auken
EGU General Assembly Conference Abstracts, 7067, 2020
12020
Effect of Data Normalization on Neural Networks for the Forward Modelling of Transient Electromagnetic Data
MR Asif, TS Bording, AS Barfod, E Auken, JJ Larsen
NSG2020 26th European Meeting of Environmental and Engineering Geophysics …, 2020
2020
Automating the pre-processing of time-domain induced polarization data using machine learning
JJ Larsen
EGU General Assembly Conference Abstracts, 6922, 2020
2020
Quantification of subsurface structural uncertainty in groundwater models using 3D geophysical data
TN Vilhelmsen, E Auken, AV Christiansen, A Barfod, N Foged, J Pedersen, ...
2018
Investigating lithological and geophysical relationships with applications to geological uncertainty analysis using Multiple-Point Statistical methods
A Barfod
Aarhus universitet, 2017
2017
A detailed comparison of laboratory and borehole NMR estimated parameters in unconsolidated aquifers
AA Behroozmand, E Auken, AV Christiansen, M Müller-Petke, ...
AGU Fall Meeting Abstracts 2016, NS32A-07, 2016
2016
Geostatistical analysis of the relationship between airborne electromagnetic data and borehole lithological data
AAS Barfod, I Møller, AV Christiansen
ASEG Extended Abstracts 2015 (1), 1-4, 2015
2015
Geostatistical analysis of the relationship between airborne Geostatistical analysis of the relationship between airborne electromagnetic data and borehole lithological data
AAS Barfod, I Møller, AV Christiansen
ASEG Extended Abstracts 2015 (1), 1-4, 2015
2015
An analysis of the lithology to resistivity relationships using airborne EM and boreholes
AAS Barfod, AV Christiansen, I Møller
EGU General Assembly Conference Abstracts, 3752, 2014
2014
Automatic processing of time domain induced polarization data using
AS Barfod, L Lévy, JJ Larsen
Geophysical Journal International, 0
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Articles 1–19