| Bridging the ensemble Kalman filter and particle filters: the adaptive Gaussian mixture filter AS Stordal, HA Karlsen, G Nævdal, HJ Skaug, B Vallès Computational Geosciences 15, 293-305, 2011 | 235 | 2011 |
| Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications X Luo, AS Stordal, RJ Lorentzen, G Nævdal SPE Journal 20 (05), 962-982, 2015 | 140 | 2015 |
| Improving physically based snow simulations by assimilating snow depths using the particle filter J Magnusson, A Winstral, AS Stordal, R Essery, T Jonas Water Resources Research 53 (2), 1125-1143, 2017 | 69 | 2017 |
| Robust ensemble-based multi-objective optimization RM Fonseca, AS Stordal, O Leeuwenburgh, PMJ Van den Hof, JD Jansen ECMOR XIV-14th European conference on the mathematics of oil recovery 2014 …, 2014 | 68 | 2014 |
| Iterative ensemble smoothers in the annealed importance sampling framework AS Stordal, AH Elsheikh Advances in Water Resources 86, 231-239, 2015 | 65 | 2015 |
| A theoretical look at ensemble-based optimization in reservoir management AS Stordal, SP Szklarz, O Leeuwenburgh Mathematical Geosciences 48, 399-417, 2016 | 49 | 2016 |
| Bridging multipoint statistics and truncated Gaussian fields for improved estimation of channelized reservoirs with ensemble methods B Sebacher, AS Stordal, R Hanea Computational Geosciences 19, 341-369, 2015 | 44 | 2015 |
| Revising the stochastic iterative ensemble smoother PN Raanes, AS Stordal, G Evensen Nonlinear Processes in Geophysics 26 (3), 325-338, 2019 | 42 | 2019 |
| Efficient implementation of an iterative ensemble smoother for data assimilation and reservoir history matching G Evensen, PN Raanes, AS Stordal, J Hove Frontiers in Applied Mathematics and Statistics 5, 47, 2019 | 40 | 2019 |
| Estimation of production rates with transient well-flow modeling and the auxiliary particle filter RJ Lorentzen, AS Stordal, G Nævdal, HA Karlsen, HJ Skaug SPE Journal 19 (01), 172-180, 2014 | 30 | 2014 |
| Iterative Bayesian inversion with Gaussian mixtures: finite sample implementation and large sample asymptotics AS Stordal Computational Geosciences 19, 1-15, 2015 | 29 | 2015 |
| Short-term music therapy for families with preterm infants: a randomized trial TS Gaden, C Ghetti, I Kvestad, Ł Bieleninik, AS Stordal, J Assmus, ... Pediatrics 149 (2), 2022 | 27 | 2022 |
| Assessment of multilevel ensemble-based data assimilation for reservoir history matching K Fossum, T Mannseth, AS Stordal Computational geosciences 24 (1), 217-239, 2020 | 27 | 2020 |
| An iterative version of the adaptive Gaussian mixture filter AS Stordal, RJ Lorentzen Computational Geosciences 18, 579-595, 2014 | 23 | 2014 |
| An adaptive pluri-Gaussian simulation model for geological uncertainty quantification B Sebacher, R Hanea, AS Stordal Journal of Petroleum Science and Engineering 158, 494-508, 2017 | 20 | 2017 |
| Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models AS Stordal, R Valestrand, HA Karlsen, G Nævdal, HJ Skaug Computational Geosciences 16, 467-482, 2012 | 20 | 2012 |
| Estimation of production rates by use of transient well-flow modeling and the auxiliary particle filter: Full-scale applications RJ Lorentzen, AS Stordal, X Luo, G Nævdal SPE Production & Operations 31 (02), 163-175, 2016 | 19 | 2016 |
| A modified randomized maximum likelihood for improved Bayesian history matching AS Stordal, G Nævdal Computational Geosciences 22, 29-41, 2018 | 16 | 2018 |
| Toward an enhanced Bayesian estimation framework for multiphase flow soft-sensing X Luo, RJ Lorentzen, AS Stordal, G Nævdal Inverse Problems 30 (11), 114012, 2014 | 16 | 2014 |
| Complex geology estimation using the iterative adaptive Gaussian mixture filter B Sebacher, A Stordal, R Hanea Computational Geosciences 20, 133-148, 2016 | 13 | 2016 |
