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Thomas Mejer Hansen
Thomas Mejer Hansen
Department of Geoscience, Aarhus University
Verificeret mail på geo.au.dk - Startside
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Citeret af
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Linear inverse Gaussian theory and geostatistics
TM Hansen, AG Journel, A Tarantola, K Mosegaard
Geophysics 71 (6), R101, 2006
1952006
Inverse problems with non-trivial priors: Efficient solution through Sequential Gibbs Sampling
TM Hansen, KS Cordua, K Mosegaard
Computational Geosciences, 1-19, 2012
1522012
Correlation between mechanical strength of messenger RNA pseudoknots and ribosomal frameshifting
TM Hansen, SNS Reihani, LB Oddershede, MA Sørensen
Proceedings of the National Academy of Sciences 104 (14), 5830-5835, 2007
1462007
Identifying unsaturated hydraulic parameters using an integrated data fusion approach on cross‐borehole geophysical data
MC Looms, A Binley, KH Jensen, L Nielsen, TM Hansen
Vadose Zone Journal 7 (1), 238-248, 2008
1362008
Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information
KS Cordua, TM Hansen, K Mosegaard
Geophysics 77 (2), H19-H31, 2012
1122012
SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 2—Application to crosshole GPR tomography
TM Hansen, KS Cordua, MC Looms, K Mosegaard
Computers & Geosciences 52, 481-492, 2013
942013
Accounting for imperfect forward modeling in geophysical inverse problems—exemplified for crosshole tomography
TM Hansen, KS Cordua, BH Jacobsen, K Mosegaard
Geophysics 79 (3), H1-H21, 2014
902014
An unsupervised deep-learning method for porosity estimation based on poststack seismic data
R Feng, T Mejer Hansen, D Grana, N Balling
Geophysics 85 (6), M97-M105, 2020
762020
Gravity inversion predicts the nature of the Amundsen Basin and its continental borderlands near Greenland
A Døssing, TM Hansen, AV Olesen, JR Hopper, T Funck
Earth and Planetary Science Letters 408, 132-145, 2014
742014
Bayesian convolutional neural networks for seismic facies classification
R Feng, N Balling, D Grana, JS Dramsch, TM Hansen
IEEE transactions on geoscience and remote sensing 59 (10), 8933-8940, 2021
682021
VISIM: Sequential simulation for linear inverse problems
TM Hansen, K Mosegaard
Computers & Geosciences 34 (1), 53-76, 2008
642008
Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—Applied to GPR crosshole traveltime inversion
TM Hansen, KS Cordua
Geophysical Journal International 211 (3), 1524-1533, 2017
632017
Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies
AS Høyer, G Vignoli, TM Hansen, LT Vu, DA Keefer, F Jørgensen
Hydrology and Earth System Sciences 21 (12), 6069-6089, 2017
592017
Monte Carlo reservoir analysis combining seismic reflection data and informed priors
A Zunino, K Mosegaard, K Lange, Y Melnikova, T Mejer Hansen
Geophysics 80 (1), R31-R41, 2015
512015
Using geostatistics to describe complex a priori information for inverse problems
TM Hansen, K Mosegaard, KS Cordua
VIII International Geostatistics Congress 1, 329-338, 2008
442008
Attribute-guided well-log interpolation applied to low-frequency impedance estimation
TM Hansen, K Mosegaard, R Pedersen-Tatalovic, A Uldall, NL Jacobsen
Geophysics 73 (6), R83, 2008
412008
Inference of unexploded ordnance (UXO) by probabilistic inversion of magnetic data
MD Wigh, TM Hansen, A Døssing
Geophysical Journal International 220 (1), 37-58, 2020
382020
MPSLIB: A C++ class for sequential simulation of multiple-point statistical models
TM Hansen, LT Vu, T Bach
SoftwareX 5, 127-133, 2016
372016
A frequency matching method: solving inverse problems by use of geologically realistic prior information
K Lange, J Frydendall, KS Cordua, TM Hansen, Y Melnikova, ...
Mathematical geosciences 44, 783-803, 2012
372012
Multiple point statistical simulation using uncertain (soft) conditional data
TM Hansen, K Mosegaard, KS Cordua
Computers & geosciences 114, 1-10, 2018
362018
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Artikler 1–20