Publications 2020

2024 / 2023 / 2022 / 2021 / 2020 / 2019

(Also see outreach for talks, posters, or browse by project )

• Paper by: Taskin, U., Eikrem, K.S. , Nævdal, G. , Jakobsen, M., Verschuur, D.J., van Dongen, K.W.A.

  Ultrasound Imaging of the Brain using Full-Waveform Inversion

  Proceedings - IEEE Ultrasonics Symposium

• Paper by: Eikrem, K.S. , Nævdal, G. , Jakobsen, M.

  Iterative solution of the Lippmann-Schwinger equation in strongly scattering acoustic media by randomized construction of preconditioners

  Geophysical Journal International

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T.

  Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme

  SPE Journal

• Paper by: Xiang, K., Jakobsen, M., Eikrem, K.S. , Nævdal, G.

  Homotopy method for seismic modeling in strongly scattering acoustic media with density variation

  SEG technical program expanded abstracts

• Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T.

  4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method

  Journal of Petroleum Science and Engineering

• Paper by: Tveit, S., Mannseth, T. , Park, J., Sauvin, G., Agersborg, R.

  Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

  Computational Geosciences

• Conf-paper by: Keenlyside, N., Kosaka, Y., Vigaud, N., Robertson, A., Wang, Y. , Dommenget, D., Luo, J., Matei, D.

  Basin Interactions and predictability

  Cambridge University Press

• Conf-paper by: Bhakta, T. , Tolstukhin, E., Pacheco, C., Luo, X. , Nævdal, G.

  Decoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir

  SEG Technical Program Expanded Abstracts 2020

• Conf-paper by: Luo, X.

  Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Boulze, H., Korosov, A., Brajard, J.

  Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks

  Remote Sensing

• Paper by: Yala, K., Niang, N., Brajard, J. , Mejia, C., Ouattara, M., El Hourany, R., Crepon, M., Thiria, S.

  Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier

  Ocean Science

• Paper by: Kuzmenkov, D.M., Delov, M.I., Zeynalyan, K., Struchalin, P.G., Alyaev, S. , He, Y., Kutsenko, K.V., Balakin, B.

  Solar steam generation in fine dispersions of graphite particles

  Renewable Energy

• Paper by: Magnusson, J., Nævdal, G. , Matt, F., Burkhart, J.F., Winstral, A.

  Improving hydropower inflow forecasts by assimilating snow data

  Hydrology Research

• Conf-paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T.

  A novel approach to multilevel data assimilation

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Huang, X., Eikrem, K.S. , Jakobsen, M., Nævdal, G.

  Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter

  Geophysics

• Paper by: Fossum, K. , Mannseth, T. , Stordal, A.S.

  Assessment of multilevel ensemble-based data assimilation for reservoir history matching

  Computational Geosciences

• Conf-paper by: Oguntola, M.B., Lorentzen, R.J.

  On the Robust Value Quantification of Polymer EOR Injection Strategies for Better Decision Making

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Chang, Y., Nævdal, G. , Lorentzen, R.J.

  Optimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field

  Society of Petroleum Engineers

• Conf-paper by: Luo, X. , Lorentzen, R.J. , Bhakta, T.

  Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning

  Society of Petroleum Engineers

• Conf-paper by: Yang, S., Gao, Y., Koenigk, T., Keenlyside, N., Counillon, F.

  The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change

  Springer

• Paper by: Fransner, F., Counillon, F. , Bethke, I., Tjiputra, J., Samuelsen, A., Nummelin, A., Olsen, A.

  Ocean Biogeochemical Predictions—Initialization and Limits of Predictability

  Frontiers in Marine Science

• Paper by: Smith, D.M., Scaife, A.A., Eade, R., Athanasiadis, P.J., Bellucci, A., Bethke, I., Bilbao, R., Borchert, L., Caron, L., Counillon, F. , Danabasoglu, G., Delworth, T., Doblas-Reyes, F.J., Dunstone, N.J., Estella-Perez, V., Flavoni, S., Hermanson, L., Keenlyside, N., Kharin, V., Kimoto, M., Merryfield, W.J., Mignot, J., Mochizuki, T., Modali, K., Monerie, P., Müller, W.A., Nicoli, D., Ortega, P., Pankatz, K., Pohlmann, H., Robson, J., Ruggieri, P., Sospedra-Alfonso, R., Swingedouw, D., Wang, Y. , Wild, S., Yeager, S.G., Yang, X., Zhang, L.

  North Atlantic climate far more predictable than models imply

  Nature

• Paper by: Dai, P., Gao, Y., Counillon, F. , Wang, Y. , Kimmritz, M., Langehaug, H.R.

  Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model

  Climate Dynamics

• Paper by: Evensen, G. , Amezcua, J., Bocquet, M., Carrassi, A., Farchi, A., Fowler, A., Houtekamer, P.L., Jones, C.K., de Moraes, R.J., Pulido, M., Sampson, C., Vossepoel, F.C.

  An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

  Foundations of Data Science (FoDS)

• Paper by: Xie, J. , de Vos, M., Bertino, L. , Zhu, J., Counillon, F.

  Impact of assimilating altimeter data on eddy characteristics in the South China Sea

  Ocean Modelling

• Paper by: Brajard, J. , Carrassi, A., Bocquet, M., Bertino, L.

  Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

  Journal of Computational Science

• Conf-paper by: Bertino, L. , Xie, J.

  Operational Forecasting of Sea Ice in the Arctic Using the TOPAZ system

  Springer

• Paper by: Raj, R.P., Halo, I., Chatterjee, S., Belonenko, T.V., Bakhoday Paskyabi, M., Bashmachnikov, I.L., Fedorov, A.M., Xie, J.

  Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Bocquet, M., Brajard, J. , Carrassi, A., Bertino, L.

  Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization

  Foundations of Data Science (FoDS)

Total: 29