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Rasmus Bødker Madsen
Rasmus Bødker Madsen
Senior Researcher, GEUS
Verificeret mail på geus.dk - Startside
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Citeret af
År
Estimation and accounting for the modeling error in probabilistic linearized amplitude variation with offset inversion
RB Madsen, TM Hansen
Geophysics 83 (2), N15-N30, 2018
272018
Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling
RB Madsen, AS Høyer, LT Andersen, I Møller, TM Hansen
Engineering Geology 309, 106833, 2022
232022
Assessment of complex subsurface redox structures for sustainable development of agriculture and the environment
B Hansen, DD Voutchkova, PBE Sandersen, A Kallesøe, L Thorling, ...
Environmental Research Letters 16 (2), 025007, 2021
232021
3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
RB Madsen, H Kim, AJ Kallesøe, PBE Sandersen, TN Vilhelmsen, ...
Hydrology and Earth System Sciences 25 (5), 2759-2787, 2021
202021
On inferring the noise in probabilistic seismic AVO inversion using hierarchical Bayes
RB Madsen, A Zunino, TM Hansen
SEG Technical Program Expanded Abstracts 2017, 601-606, 2017
122017
Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points
RB Madsen, I Møller, TM Hansen
Stochastic Environmental Research and Risk Assessment 35 (8), 1563-1583, 2021
82021
Estimation of a non‐stationary prior covariance from seismic data
RB Madsen, TM Hansen, H Omre
Geophysical Prospecting 68 (2), 393-410, 2020
52020
Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models
T Enemark, RB Madsen, TO Sonnenborg, LT Andersen, PBE Sandersen, ...
Hydrology and Earth System Sciences 28 (3), 505-523, 2024
42024
Single-step probabilistic inversion of 3D seismic data of a carbonate reservoir in Southwest Iran
H Heidari, TM Hansen, H Amini, ME Niri, RB Madsen, N Amini
Geophysics 87 (2), B159-B177, 2022
42022
Accounting for processing errors in AVO/AVA data
RB Madsen, E Nørmark, TM Hansen
80th EAGE conference and exhibition 2018 2018 (1), 1-5, 2018
42018
Assessing groundwater denitrification spatially is the key to targeted agricultural nitrogen regulation
B Hansen, J Aamand, G Blicher-Mathiesen, AV Christiansen, N Claes, ...
Scientific Reports 14 (1), 5538, 2024
22024
A method to construct statistical prior models of geology for probabilistic inversion of geophysical data
RB Madsen, AS Høyer, PBE Sandersen, I Møller, TM Hansen
Engineering Geology 324, 107252, 2023
22023
Uncertainty Assessments in 3D Geological Modelling of Complex Unconsolidated Sediments–with Emphasis on Handling Subjectivity in the Entire Workflow
AS Høyer, PBE Sandersen, LT Andersen, RB Madsen, MH Mortensen, ...
Available at SSRN 4444386, 2023
22023
Evaluating the chain of uncertainties in the 3D geological modelling workflow
AS Høyer, PBE Sandersen, LT Andersen, RB Madsen, MH Mortensen, ...
Engineering Geology, 107792, 2024
2024
Introducing INPOX: a method for informed point extraction from geological 2D surfaces exemplified on the Danish national hydrostratigraphic model
RB Madsen, FA Falk, I Møller, AS Høyer
GEUS Bulletin 57, 2024
2024
Machine learning-based estimation and clustering of statistics within stratigraphic models as exemplified in Denmark
FA Falk, RB Madsen
GEUS Bulletin 53, 8353, 2023
2023
Why probabilistic models are often true, but can be either useful or useless.
T Mejer Hansen, R Bødker Madsen
EGU General Assembly Conference Abstracts, EGU-11807, 2023
2023
Moving away from deterministic solutions: A probabilistic machine learning approach to account for geological model uncertainty in groundwater modelling
M Busk Dahl, T Norvin Vilhelmsen, R Bødker Madsen, T Mejer Hansen
EGU General Assembly Conference Abstracts, EGU-6313, 2023
2023
Why probabilistic models are often true, but can be either useful or useless.
TM Hansen, RB Madsen
EGU23, 2023
2023
Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data
H Heidari, RB Madsen, H Amini, TM Hansen, M Emami‐Niri, N Amini
Geophysical Prospecting 71 (3), 443-455, 2023
2023
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