Klaus Mosegaard
Professor
ORCID: 0000-0001-5292-5249
1 - 3 ud af 3Pr. side: 10
- 2019
- Udgivet
An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions
Zunino, A. & Mosegaard, Klaus, 1 jan. 2019, I: Computers and Geosciences. 122, s. 77-86Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Efficient Monte Carlo Uncertainty Quantification through Problem-dependent Proposals
Mosegaard, Klaus, 2019, 81st EAGE Conference and Exhibition 2019 Workshop Programme. EAGE Publishing BV, (81st EAGE Conference and Exhibition 2019 Workshop Programme).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Quantification of errors in well-trace positions and uncertain measurements for improvement of subsurface imaging
Fernandes, Iris & Mosegaard, Klaus, 2019.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
ID: 105380906
Flest downloads
-
811
downloads
A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
-
767
downloads
A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
425
downloads
Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt