Thomas Mejer Hansen

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Aarhus University

Denmark

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Professors in Geology

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Recent Grants

Grant: Close

ERGMOD: Probabilistic Geomodelling of Groundwater Resources. Funded by the Free Research Council

Open Date: 2018-05-01

Close Date: 2021-04-01

Grant: Close

Probabilistic Seismic Prospect Assessment

Open Date: 2015-04-01

Close Date: 2018-04-01

Grant: Close

ERGO - Effective high-resolution Geological Modeling

Open Date: 2013-07-01

Close Date: 2016-12-01

Articles (17)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (13)

Aske Lohse Sørensen

Aarhus University

DENMARK

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Mick Emil Kolster

Chief Geophysicist

DENMARK

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Jesper Nørgaard

Aarhus University

DENMARK

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Christopher C. Finlay

Technical University of Denmark

DENMARK

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Bolette Badsberg Jensen

Københavns Universitet

DENMARK

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Trine Enemark

Københavns Universitet

DENMARK

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Navid Amini

SOUTH KOREA

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Alexandros Daniilidis

Delft University of Technology

NETHERLANDS

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Poul Løgstrup Bjerg

Technical University of Denmark

DENMARK

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SONIA SILVESTRI

Associate Professor

University of Bologna

ITALY

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Giulio Vignoli

Professore Associato

University of Cagliari

ITALY

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Majken Looms

Københavns Universitet

DENMARK

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Klaus Mosegaard

Københavns Universitet

DENMARK

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Thomas Mejer Hansen

Research Interests

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Recent Grants

Articles (17)

CosmoChron

Probabilistic Petrophysical Reconstruction of Danta's Alpine Peatland via Electromagnetic Induction Data

Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models

High‐Resolution Geological Information from Crosshole Ground Penetrating Radar in Clayey Tills

A method to construct statistical prior models of geology for probabilistic inversion of geophysical data

Classification of UXO and non-UXO from magnetic anomaly data: a case study on inversion of drone magnetic data from Rømø, Denmark

Hydraulic head change predictions in groundwater models using a probabilistic neural network

Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data

Influence of process-based, stochastic and deterministic methods for representing heterogeneity in fluvial geothermal systems

Multiple-point statistics and non-colocational soft data integration

Probabilistic deconvolution of PET images using informed priors

Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image

Neural network predictions of drawdown from groundwater abstraction in the Egebjerg catchment, Denmark

A method to construct statistical prior models of geology for probabilistic inversion of geophysical data

Use of Machine Learning to Estimate Statistics of the Posterior Distribution in Probabilistic Inverse Problems—An Application to Airborne EM Data

Geology-driven modeling

Accounting for Modeling Errors in Linear Inversion of Crosshole Ground‐Penetrating Radar Amplitude Data: Detecting Sand in Clayey Till

Collaborators (13)

Aske Lohse Sørensen

Mick Emil Kolster

Jesper Nørgaard

Christopher C. Finlay

Bolette Badsberg Jensen

Trine Enemark

Navid Amini

Alexandros Daniilidis

Poul Løgstrup Bjerg

SONIA SILVESTRI

Giulio Vignoli

Majken Looms

Klaus Mosegaard

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