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Kristian Fossum
Kristian Fossum
NORCE
Verifisert e-postadresse på norceresearch.no
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4D seismic history matching
DS Oliver, K Fossum, T Bhakta, I Sandø, G Nævdal, RJ Lorentzen
Journal of Petroleum Science and Engineering 207, 109119, 2021
442021
A decision support system for multi-target geosteering
S Alyaev, E Suter, RB Bratvold, A Hong, X Luo, K Fossum
Journal of Petroleum Science and Engineering 183, 106381, 2019
392019
Parameter sampling capabilities of sequential and simultaneous data assimilation: I. Analytical comparison
K Fossum, T Mannseth
Inverse Problems 30 (11), 114002, 2014
252014
Assessment of multilevel ensemble-based data assimilation for reservoir history matching
K Fossum, T Mannseth, AS Stordal
Computational geosciences 24 (1), 217-239, 2020
242020
Parameter sampling capabilities of sequential and simultaneous data assimilation: II. Statistical analysis of numerical results
K Fossum, T Mannseth
Inverse Problems 30 (11), 114003, 2014
232014
Ensemble-based well-log interpretation and uncertainty quantification for well geosteering
N Jahani, J Ambia Garrido, S Alyaev, K Fossum, E Suter, C Torres-Verdín
Geophysics 87 (3), IM57-IM66, 2022
122022
Coarse-scale data assimilation as a generic alternative to localization
K Fossum, T Mannseth
Computational Geosciences 21 (1), 167-186, 2017
122017
Verification of a real-time ensemble-based method for updating earth model based on GAN
K Fossum, S Alyaev, J Tveranger, AH Elsheikh
Journal of Computational Science 65, 101876, 2022
102022
Assimilating spatially dense data for subsurface applications—balancing information and degrees of freedom
T Mannseth, K Fossum
Computational Geosciences 22 (5), 1323-1349, 2018
102018
Assessment of ordered sequential data assimilation
K Fossum, T Mannseth
Computational Geosciences 19, 821-844, 2015
102015
Numerical comparison of ensemble Kalman filter and randomized maximum likelihood
K Fossum, T Mannseth, D Oliver, HJ Skaug
ECMOR XIII-13th European Conference on the Mathematics of oil Recovery, cp …, 2012
82012
A novel multilevel method for assimilating spatially dense data
K Fossum, T Mannseth
ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018
72018
A novel approach to multilevel data assimilation
M Nezhadali, T Bhakta, K Fossum, T Mannseth
ECMOR XVII 2020 (1), 1-13, 2020
62020
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
S Alyaev, J Tveranger, K Fossum, AH Elsheikh
First Break 39 (7), 45-50, 2021
52021
Iterative multilevel assimilation of inverted seismic data
M Nezhadali, T Bhakta, K Fossum, T Mannseth
Computational Geosciences 26 (2), 241-262, 2022
42022
Multilevel assimilation of inverted seismic data with correction for multilevel modeling error
M Nezhadali, T Bhakta, K Fossum, T Mannseth
Frontiers in Applied Mathematics and Statistics 7, 673077, 2021
42021
Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow
N Jahani, S Alyaev, J Ambía, K Fossum, E Suter, C Torres-Verdín
Petrophysics 64 (01), 80-91, 2023
32023
Ensemble-based well log interpretation and uncertainty quantification for geosteering
N Jahani, JA Garrido, S Alyaev, K Fossum, E Suter, C Torres-Verdin
arXiv preprint arXiv:2103.05384, 2021
32021
Deep learning for prediction of complex geology ahead of drilling
K Fossum, S Alyaev, J Tveranger, A Elsheikh
Computational Science–ICCS 2021: 21st International Conference, Krakow …, 2021
32021
Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field
K Fossum, S Alyaev, E Suter, G Tossi, M Mele
3rd EAGE/SPE Geosteering Workshop 2021 (1), 1-5, 2021
22021
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Artikler 1–20