Knud Skou Cordua
Knud Skou Cordua
Postdoc, Solid Earth Physics and Computational Geoscience, Niels Bohr Institute
Verificeret mail på nbi.ku.dk - Startside
Citeret af
Citeret af
Inverse problems with non-trivial priors: efficient solution through sequential Gibbs sampling
TM Hansen, KS Cordua, K Mosegaard
Computational Geosciences 16, 593-611, 2012
Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information
KS Cordua, TM Hansen, K Mosegaard
Geophysics 77 (2), H19-H31, 2012
SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information : Part 1—Methodology
KM Thomas Mejer Hansen, Knud Skou Cordua, Majken
Computers & Geosciences 52, 470-480, 2013
Accounting for imperfect forward modeling in geophysical inverse problems—exemplified for crosshole tomography
TM Hansen, KS Cordua, BH Jacobsen, K Mosegaard
Geophysics 79 (3), H1-H21, 2014
Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—Applied to GPR crosshole traveltime inversion
TM Hansen, KS Cordua
Geophysical Journal International 211 (3), 1524-1533, 2017
Using geostatistics to describe complex a priori information for inverse problems
TM Hansen, K Mosegaard, KS Cordua
VIII International Geostatistics Congress 1, 329-338, 2008
A frequency matching method: solving inverse problems by use of geologically realistic prior information
K Lange, J Frydendall, KS Cordua, TM Hansen, Y Melnikova, ...
Mathematical geosciences 44, 783-803, 2012
Probabilistic integration of geo‐information
TM Hansen, KS Cordua, A Zunino, K Mosegaard
Integrated imaging of the earth: Theory and applications, 93-116, 2016
Accounting for correlated data errors during inversion of cross-borehole ground penetrating radar data
KS Cordua, MC Looms, L Nielsen
Vadose Zone Journal 7 (1), 263-271, 2008
Quantifying the influence of static-like errors in least-squares-based inversion and sequential simulation of cross-borehole ground penetrating radar data
KS Cordua, L Nielsen, MC Looms, TM Hansen, A Binley
Journal of Applied Geophysics 68 (1), 71-84, 2009
Multiple point statistical simulation using uncertain (soft) conditional data
TM Hansen, K Mosegaard, KS Cordua
Computers & geosciences 114, 1-10, 2018
Estimation of chalk heterogeneity from stochastic modeling conditioned by crosshole GPR traveltimes and log data
L Nielsen, MC Looms, TM Hansen, KS Cordua, L Stemmerik
Geostatistical inference using crosshole ground-penetrating radar
MC Looms, TM Hansen, KS Cordua, L Nielsen, KH Jensen, A Binley
Geophysics 75 (6), J29-J41, 2010
History matching through a smooth formulation of multiple-point statistics
Y Melnikova, A Zunino, K Lange, KS Cordua, K Mosegaard
Mathematical Geosciences 47, 397-416, 2015
Improving the pattern reproducibility of multiple-point-based prior models using frequency matching
KS Cordua, TM Hansen, K Mosegaard
Mathematical Geosciences 47, 317-343, 2015
Mixed‐point geostatistical simulation: A combination of two‐and multiple‐point geostatistics
KS Cordua, TM Hansen, ML Gulbrandsen, C Barnes, K Mosegaard
Geophysical Research Letters 43 (17), 9030-9037, 2016
Smart Interpretation–automatic geological interpretations based on supervised statistical models
ML Gulbrandsen, KS Cordua, T Bach, TM Hansen
Computational Geosciences 21, 427-440, 2017
Localized Smart Interpretation-a data driven semi-automatic geological modelling method.
ML Gulbrandsen, T Bach, KS Cordua, TM Hansen
ASEG Extended Abstracts 2015 (1), 1-4, 2015
Reducing complexity of inverse problems using geostatistical priors
TM Hansen, K Mosegaard, KS Cordua
International association of Mathematical geoscience (IAMG 09), 2009
A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support
TM Hansen, KS Cordua, K Mosegaard
Mathematical Geosciences 47, 843-865, 2015
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20