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T. Hansen

3 papers hereh-index 241.7k citations110 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph3
same name
  • T. Hansen — 42 papers, h 30
  • T. Hansen — 13 papers, h 37
  • T. Hansen — 12 papers, h 37
  • T. Hansen — 5 papers, h 6
  • T. Hansen — 3 papers, h 20
  • T. Hansen — 2 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedMultiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies

60 citations · 92 across the 3 of their papers we have counts for

collaborators
Showing physics.geo-phShow all

3 papers · 1 filter

physics.geo-ph2022

Direct Sequential Simulation for spherical linear inverse problems

Mikkel Otzen, Christopher C. Finlay, Thomas Mejer Hansen

We present a method for obtaining efficient probabilistic solutions to geostatistical and linear inverse problems in spherical geometry. Our Spherical Direct Sequential Simulation…

physics.geo-ph2021★ 32 cited

1D Stochastic Inversion of Airborne Time-domain Electromag-netic Data with Realistic Prior and Accounting for the Forward Modeling Error

Peng Bai, Giulio Vignoli, Thomas Mejer Hansen

Airborne electromagnetic surveys may consist of hundreds of thousands of soundings. In most cases, this makes 3D inversions unfeasible even when the subsurface is characterized by…

physics.geo-ph2020★ 60 cited

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

Anne-Sophie Høyer, Giulio Vignoli, Thomas Mejer Hansen +3

Most studies on the application of geostatistical simulations based on multiple-point statistics (MPS) to hydrogeological modelling focus on relatively fine-scale models and on the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.