Klaus Mosegaard
Professor
- Published
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
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
- Published
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
- Published
Integration of information from diverce sources
Hansen, T. M., Cordua, K. S. & Mosegaard, Klaus, 2012, 74th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2012. Copenhagen, DenmarkResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
Multiple point statistical simulation using uncertain (soft) conditional data
Hansen, T. M., Vu, L. T., Mosegaard, Klaus & Cordua, K. S., 1 May 2018, In: Computers & Geosciences. 114, p. 1-10 10 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
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
- Published
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
- Published
A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support
Hansen, T. M., Cordua, K. S. & Mosegaard, Klaus, 12 Nov 2014, In: Mathematical Geosciences. 47, 7, p. 843-865Research output: Contribution to journal › Journal article › Research › peer-review
ID: 105380906
Most downloads
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784
downloads
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
downloads
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
Published -
425
downloads
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