Thomas Mejer Hansen

发表

Smart Interpretation – automatic geological interpretations based on supervised statistical models

Mats Lundh Gulbrandsen, Knud Skou Cordua, Torben Bach, 2017, Computational Geosciences.

Efficient probabilistic inversion using the rejection sampler—exemplified on airborne EM data

Thomas Mejer Hansen, T. Hansen, 2020 .

Corrigendum to "VISIM: Sequential simulation for linear inverse problems" [Computers & Geosciences 34(1) (2008) 53-76]

Thomas Mejer Hansen, Klaus Mosegaard, 2011, Comput. Geosci..

Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies

Thomas Mejer Hansen, Anne-Sophie Høyer, Donald A. Keefer, 2016 .

SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 2 - Application to crosshole GPR tomography

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2013, Comput. Geosci..

On inferring the noise in probabilistic seismic AVO inversion using hierarchical Bayes

Thomas Mejer Hansen, Rasmus Bødker Madsen, Andrea Zunino, 2017 .

SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 1 - Methodology

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2013, Comput. Geosci..

Inferring the Subsurface Structural Covariance Model Using Cross‐Borehole Ground Penetrating Radar Tomography

Thomas Mejer Hansen, Lars Nielsen, Majken C. Looms, 2008 .

Inference of unexploded ordnance (UXO) by probabilistic inversion of magnetic data

Thomas Mejer Hansen, Mark David Wigh, Arne Døssing, 2019, Geophysical Journal International.

Nonlinear AVO inversion using geostatistical a priori information

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2010 .

Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2014 .

How to Construct a Prior Probability Distribution From a Training Image

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2014 .

VISIM: Sequential simulation for linear inverse problems

Thomas Mejer Hansen, Klaus Mosegaard, T. Hansen, 2008, Comput. Geosci..

MPSLIB: A C++ class for sequential simulation of multiple-point statistical models

Torben Bach, Thomas Mejer Hansen, Le Thanh Vu, 2016, SoftwareX.

Multiple point statistical simulation using uncertain (soft) conditional data

Knud Skou Cordua, Thomas Mejer Hansen, Klaus Mosegaard, 2018, Comput. Geosci..

Linear Waveform Tomography Inversion Using Machine Learning Algorithms

Thomas Mejer Hansen, Tue Holm-Jensen, T. Hansen, 2019, Mathematical Geosciences.

3D training image development and conditioning strategies for multiple-point statistical simulations

Thomas Mejer Hansen, Anne-Sophie Høyer, Flemming Jørgensen, 2017 .

Probabilistic Integration of Geo‐Information

Knud Skou Cordua, Thomas Mejer Hansen, Andrea Zunino, 2016 .

Accelerating Multiple-Point Geostatistical Simulation with GPU

Thomas Mejer Hansen, Ó.D. Jóhannsson, 2018 .

Attribute-guided well-log interpolation applied to low-frequency impedance estimation

Thomas Mejer Hansen, Klaus Mosegaard, Radmila Pedersen-Tatalovic, 2008 .

Stretching short DNA tethers using optical tweezers

Thomas Mejer Hansen, Lene B. Oddershede, Nader Reihani, 2006, SPIE Optics + Photonics.

Inversion of airborne EM data with an explicit choice of prior model

Thomas Mejer Hansen, Burke J. Minsley, B. Minsley, 2019, Geophysical Journal International.

Bayesian Convolutional Neural Networks for Seismic Facies Classification

Thomas Mejer Hansen, Runhai Feng, Dario Grana, 2021, IEEE Transactions on Geoscience and Remote Sensing.

1D Stochastic Inversion of Airborne Time-Domain Electromagnetic Data with Realistic Prior and Accounting for the Forward Modeling Error

Thomas Mejer Hansen, Giulio Vignoli, Peng Bai, 2021, Remote. Sens..

Estimation using multiple-point statistics

Thomas Mejer Hansen, Óli D. Jóhannsson, 2021, Comput. Geosci..

cultpenguin/probabilistic-inverse-problems_and_ml:

Thomas Mejer Hansen, 2021 .

Reducing complexity of inverse problems using geostatistical priors ∗

Thomas Mejer Hansen, 2009 .

Quantifying the influence of static-like errors in least-squares-based inversion and sequential simulation of cross-borehole ground penetrating radar data.

Knud Skou Cordua, Thomas Mejer Hansen, Majken C. Looms, 2009 .

A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information

Knud Skou Cordua, Thomas Mejer Hansen, Jan Frydendall, 2012, Mathematical Geosciences.

Geostatistical inference using crosshole ground-penetrating radar

Knud Skou Cordua, Thomas Mejer Hansen, Karsten H. Jensen, 2010 .

Mixed‐point geostatistical simulation: A combination of two‐ and multiple‐point geostatistics

Mats Lundh Gulbrandsen, Knud Skou Cordua, Thomas Mejer Hansen, 2016 .

Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies

Thomas Mejer Hansen, Anne-Sophie Høyer, Donald A. Keefer, 2016, 2011.10745.

Kriging interpolation in seismic attribute space applied to the South Arne Field, North Sea

Thomas Mejer Hansen, Klaus Mosegaard, T. Hansen, 2010 .

Estimation and accounting for the modeling error in probabilistic linearized AVO inversion

Thomas Mejer Hansen, Rasmus Bødker Madsen, T. Hansen, 2017 .

Inverse Methods: Problem Formulation and Probabilistic Solutions

Thomas Mejer Hansen, Klaus Mosegaard, T. Hansen, 2016 .

Estimation of Chalk Heterogeneity from Stochastic Modeling Conditioned by Crosshole GPR Traveltimes and Log Dat

Knud Skou Cordua, Thomas Mejer Hansen, Majken C. Looms, 2010 .