Klaus Mosegaard
Professor
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Water-flooding and consolidation of reservoir chalk - effect on porosity and Biot's coefficient
Gram, T. B., Ditlevsen, F. P., Mosegaard, Klaus & Fabricius, I. L., 19 Nov 2020, In: Geophysical Prospecting. 69, 3, p. 495-513Research output: Contribution to journal › Journal article › Research › peer-review
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Variations of shear-wave splitting in Greenland: Mantle anisotropy and possible impact of the Iceland plume
Ücisik, N., Gudmundsson, O., Hanka, W., Dahl-Jensen, T., Mosegaard, Klaus & Priestley, K., 2008, In: Tectonophysics. 462, 1-4, p. 137-148 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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VISIM: sequential simulation for linear inverse problems
Hansen, T. M. & Mosegaard, Klaus, 2008, In: Computers & Geosciences. 34, 1, p. 53–76Research output: Contribution to journal › Journal article › Research › peer-review
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VISIM: Sequential simulation for linear inverse problems (vol 34, pg 53, 2008)
Hansen, T. M. & Mosegaard, Klaus, 1 Jul 2011, In: Computers & Geosciences. 37, 7, p. 973-974Research output: Contribution to journal › Journal article › Research › peer-review
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Using geostatistics to describe complex a priori information for inverse problems
Hansen, T. M., Mosegaard, Klaus & Cordua, K. S., 2008, Proceedings of the Eighth International Geostatistics Congress. Oritz, J. M. & Emery, X. (eds.). Gecamin, Vol. 1. p. 329-338 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data
Qu, D., Mosegaard, Klaus, Feng, R. & Nielsen, Lars, 21 Apr 2023, In: Interpretation. 11, 2, p. T339-T347 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Using Synthetic Data Trained Convolutional Neural Network for Predicting Sub-resolution Thin Layers from Seismic Data
Qu, D., Mosegaard, Klaus, Feng, R. & Nielsen, L., 1 May 2023, In: Interpretation. 11, 2, 1M-T456.Research output: Contribution to journal › Journal article › Research › peer-review
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Upscaling of outcrop information for improved reservoir modelling: Exemplified by a case study on chalk
Mosegaard, Klaus, Qu, D., Frykman, P., Stemmerik, L. & Nielsen, Lars, 2021, In: Petroleum Geoscience. 27, 4, 8 p., petgeo2020-126.Research output: Contribution to journal › Journal article › Research › peer-review
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Three-dimensional crustal structure beneath the TOR array and effects on teleseismic wavefronts
Arlitt, T. T., Kissling, E. & Mosegaard, Klaus, 1999, In: Tectonophysics. 314, p. 309-319Research output: Contribution to journal › Journal article › Research › peer-review
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The feasibility of high-temperature aquifer thermal energy storage in Denmark: the Gassum Formation in the Stenlille structure
Pasquinelli, L., Felder, M., Gulbrandsen, M. L., Hansen, T. M., Jeon, J., Molenaar, N., Mosegaard, Klaus & Fabricius, I. L., 13 Jan 2020, In: Bulletin of the Geological Society of Denmark. 68, p. 133-154 22 p.Research output: Contribution to journal › Journal article › Research › peer-review
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The Tornquist Zone, a north east inclining lithospheric transition at the south western margin of the Baltic Shield: Revealed through a nonlinear telesemic tomgraphic inversion
Mosegaard, Klaus, Voss, P. & Gregersen, S., 2006, In: Tectonophysics. 416, 1-4, p. 151-166 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image
Feng, R., Mosegaard, Klaus, Grana, D., Mukerji, T. & Hansen, T. M., 23 Nov 2023, In: Mathematical Geosciences. 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Statistical modeling for facies-dependent seismic inversion
Fernandes, Iris, Mosegaard, Klaus & Zunino, A., 27 Aug 2018, p. 496-500. 5 p.Research output: Contribution to conference › Paper › Research › peer-review
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Statistical characterization of weak scattering fields with inverse methods
Xenaki, A., Gerstoft, P., Carriere, O. & Mosegaard, Klaus, 2013, OCEANS 2013 MTS/IEEE - San Diego: An Ocean in Common. San Diego, California, USA: IEEE Computer Society Press, 6741301Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Semi-empirical Analysis of Complex ITC Data from Protein-Surfactant Interactions
Tidemand, Frederik Grønbæk, Zunino, A., Johansen, Nicolai Tidemand, Hansen, A. F., Westh, P., Mosegaard, Klaus & Arleth, Lise, 21 Sep 2021, In: Analytical Chemistry. 93, 37, p. 12698-12706 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Seismic uncertainty and ambiguity
Mosegaard, Klaus, Zunino, A., Frandsen, N. & Christiansen, P., 1 Jan 2017, 79th EAGE Conference and Exhibition 2017 - Workshops. European Association of Geoscientists and Engineers, EAGE, (79th EAGE Conference and Exhibition 2017 - Workshops).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Sampling informative/complex a priori probability distributions using Gibbs sampling assisted by sequential simulation
Hansen, T. M., Mosegaard, Klaus & Cordua, K. S., 2010, IAMG 2010 Budapest - 14th Annual Conference of the International Association for Mathematical Geosciences. Budapest, Hungary, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information Part 2-Application to crosshole GPR tomography
Hansen, T. M., Cordua, K. S., Looms, M. C. & Mosegaard, Klaus, Mar 2013, In: Computers & Geosciences. 52, p. 481-492 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information Part 1-Methodology
Hansen, T. M., Cordua, K. S., Looms, M. C. & Mosegaard, Klaus, 1 Mar 2013, In: Computers & Geosciences. 52, p. 470-480 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Revealing Multiple Geological Scenarios Through Unsupervised Clustering of Posterior Realizations from Reflection Seismic Inversion
Gulbrandsen, M. L., Cordua, K. S., Hansen, T. M. & Mosegaard, Klaus, 1 Dec 2016, Geostatistics Valencia 2016. Universitat Politecnica de Valencia, Vol. 2. p. 79-95 16 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Resolutions studies of Fluid Flow Models Near the Core-Mantle Boundary through Bayesian Inversion of Geomagnetic Data: in Methods and Applications of Inversion:Lecture Notes on Earth Science
Rygaard-Hjalsted, Olsen, N. & Mosegaard, Klaus, 2000, Springer. p. 255- 275Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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Resolution of Reflection Seismic Data Revisited
Hansen, T. M., Mosegaard, Klaus & Zunino, A., 7 Sep 2015. 4 p.Research output: Contribution to conference › Paper › Research › peer-review
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Resolution analysis of general inverse problems through inverse Monte Carlo sampling
Mosegaard, Klaus, 1998, In: Inverse Problems. vol 14, no 1, p. 405-426Research output: Contribution to journal › Journal article › Research › peer-review
Reservoir modeling combining geostatistics with Markov chain Monte Carlo inversion
Zunino, A., Lange, K., Melnikova, Y., Hansen, T. M. & Mosegaard, Klaus, 1 Jan 2014, In: Lecture Notes in Earth System Sciences. p. 683-687 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Random heterogeneity of the lithosphere across the Trans-European Suture Zone
Hock, S., Korn, M. & Mosegaard, Klaus, 2000, In: Geophysical Journal International. 141, p. 57-70Research output: Contribution to journal › Journal article › Research › peer-review
ID: 105380906
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769
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A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information
Research output: Contribution to journal › Journal article › Research › peer-review
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767
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A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support
Research output: Contribution to journal › Journal article › Research › peer-review
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425
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Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information
Research output: Contribution to journal › Journal article › Research › peer-review