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Mats Lundh Gulbrandsen
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The feasibility of high-temperature aquifer thermal energy storage in Denmark: the Gassum Formation in the Stenlille structure
L Pasquinelli, M Felder, ML Gulbrandsen, TM Hansen, JS Jeon, ...
Bulletin of the Geological Society of Denmark 68, 133-154, 2020
122020
Mixed‐point geostatistical simulation: a combination of two‐and multiple‐point geostatistics
KS Cordua, TM Hansen, ML Gulbrandsen, C Barnes, K Mosegaard
Geophysical Research Letters 43 (17), 9030-9037, 2016
122016
Semiautomatic mapping of permafrost in the Yukon Flats, Alaska
ML Gulbrandsen, BJ Minsley, LB Ball, TM Hansen
Geophysical Research Letters 43 (23), 12,131-12,137, 2016
112016
Smart Interpretation–automatic geological interpretations based on supervised statistical models
ML Gulbrandsen, KS Cordua, T Bach, TM Hansen
Computational Geosciences 21, 427-440, 2017
102017
Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management
NS Kawo, J Korus, ML Gulbrandsen
Hydrogeology Journal 31 (6), 1525-1546, 2023
92023
Automatic mapping of the base of aquifer—A case study from Morrill, Nebraska
ML Gulbrandsen, LB Ball, BJ Minsley, TM Hansen
Interpretation 5 (2), T231-T241, 2017
92017
Localized Smart Interpretation-a data driven semi-automatic geological modelling method.
ML Gulbrandsen, T Bach, KS Cordua, TM Hansen
ASEG Extended Abstracts 2015 (1), 1-4, 2015
72015
Geostatistics Valencia 2016
JJ Gómez-Hernández, J Rodrigo-Ilarri, ME Rodrigo-Clavero, E Cassiraga, ...
Springer, 2017
62017
Peeling back the cover on an ancient landscape—AEM in the Musgrave Province, South Australia
T Munday, C Sorensen, ML Gulbrandsen
AEM 2018 7th International Workshop on Airborne Electromagnetics, June, 17-20, 2018
32018
Where do we lack information? MPS realizations can tell you where to drill!
ML Gulbrandsen, TM Hansen, NP Jensen
32nd Symposium on the Application of Geophysics to Engineering and …, 2019
12019
Quantitative geological modeling based on probabilistic integration of geological and geophysical data
ML Gulbrandsen
University of Copenhagen, Faculty of Science, Niels Bohr Institute, Climate …, 2016
12016
Using Multiple Points Statistics in Indian Wells Valley, California to Estimate the Aquifer Storage Capacity
TB Rasmussen, ML Gulbrandsen
NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics 2022 (1), 1-5, 2022
2022
Probabilistic inversion for geological features directly from airborne EM data
TM Hansen, TM Pallesen, TB Rasmussen, ML Gulbrandsen, U Sabel
34th Symposium on the Application of Geophysics to Engineering and …, 2022
2022
Multiple point statistics-3 hydrological case studies
ML Gulbrandsen, TM Pallesen, TB Rasmussen, TM Hansen, U Sabel, ...
34th Symposium on the Application of Geophysics to Engineering and …, 2022
2022
MULTIPLE POINT STATISTICS AND NEW INVERSION METHODOLGY USED TO FIND LOCALIZED AQUIFERS FOR WATERUTILITY
TM Hansen
2022
Use of multiple tracers and groundwater flow modelling for the estimation of groundwater travel times to water supply wells, vulnerability assessments and improved management …
K Hinsby, R Purtschert, S Musy, J Sültenfuss, D Wachs, ...
EGU2020, 2020
2020
A Workflow Allowing Multiple-Point Statistics Realizations to Reveal Where We Lack Information
ML Gulbrandsen, N Jensen, TM Hansen
25th European Meeting of Environmental and Engineering Geophysics 2019 (1), 1-5, 2019
2019
Multiple Point Statistics–A Case Study from Indian Wells Valley, California
ML Gulbrandsen, TB Rasmussen, NP Jensen, VT Le, TM Pallesen, ...
AGU-SEG Airborne Geophysics Workshop, 2019
2019
From AEM Data to 3D Hydrogeological Conceptual Model
ML Gulbrandsen
AGU-SEG Airborne Geophysics Workshop, 2019
2019
Revealing Multiple Geological Scenarios Through Unsupervised Clustering of Posterior Realizations from Reflection Seismic Inversion
ML Gulbrandsen, KS Cordua, TM Hansen, K Mosegaard
Geostatistics Valencia 2016, 541-555, 2017
2017
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Artikler 1–20