Publications 2020

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(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

• Conf-paper by: Keenlyside, N., Li, F., Barthélémy, S., Counillon, F. , Wang, S., Bethke, I.

  Approaches to reduce model biases and initialize high-resolution climate models

  IBS Conference on High-Resolution Earth System Modelling

• 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: 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: Tveit, S., Mannseth, T.

  Ensemble-based Bayesian joint utilization of information from multiple data types for Los Humeros

  GEMex final conference

• 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 Annual Meeting 2020

• Book-chapter by: Luo, X.

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

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Luo, X.

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

  ECMOR XVII

• Paper by: Oliver, D.

  Diagnosing reservoir model deficiency for model improvement

  Journal of Petroleum Science and Engineering

• Paper by: Wang, L., Oliver, D.

  Fast robust optimization using bias correction applied to the mean model

  Computational Geosciences

• Book-chapter by: Wang, L., Oliver, D.

  Fast Robust Optimization Using Mean Field Bias Correction

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Alyaev, S. , Holsaeter, A.M., Bratvold, R.B., Ivanova, S., Bendiksen, M.

  Geosteering with uncertainty quantification: ​ Man vs Machine

  Virtual Highlight: Third EAGE/SPE Geosteering Workshop

• Conf-paper by: Alyaev, S. , Rammay, M.H., Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C., Elsheikh, A.

  Machine learning in real-time geosteering application: a DNN model for extra-deep EM logs and accounting for the model error during Bayesian inversion

  MATHROCKS workshop

• 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

• Book-chapter by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T.

  A novel approach to multilevel data assimilation

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Jahani, N., Garrido, J.A., Fossum, K. , Alyaev, S. , Suter, E.C.

  Sensitivity analysis of an iterative ensemble Kalman filter method to interpret geothermal well logging

  8th European Geothermal Workshop

• 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: Chang, Y., Nævdal, G. , Lorentzen, R.J.

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

  SPE Norway Subsurface Conference

• 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

  SPE Norway Subsurface Conference

• Conf-paper by: Lorentzen, R.J.

  Workflow for ensemble-based history matching - Demonstrated on the Edvard Grieg field

  Short course for Lundin

• Book-chapter 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)

• Book-chapter 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: Raanes, P.N.

  CoRea WP2: Ensemble smoothing with localisation for coupled dynamics

  Kick-off meeting of the CoRea project

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

  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

• Conf-paper by: Eikrem, K.S.

  Randomized construction of preconditioners for the Lippmann-Schwinger equation

  Workshop on seismic modelling and imaging in complex media

• Book-chapter by: Chang, Y., Nævdal, G. , Lorentzen, R.J.

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

  Society of Petroleum Engineers

• 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

• Conf-paper by: Nævdal, G. , Vinningland, J.L.

  Medical technology

  NORCE Energi samling

• 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

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

  Discrimination of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble-based method

  Workshop on ensemble-based 4D seismic history matching

• Book-chapter 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

• Conf-paper by: Hodneland, E., Nævdal, G. , Zanna, A.

  Nye metoder for distribuert og data-drevet simulering av blodstrøm i hjernen

  foredrag på Haukeland sykehus

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

  Improving hydropower inflow forecasts by assimilating snow data

  Nordic Hydrology

• Conf-paper by: Wang, Y.

  CoRea project introduction

  CoRea project kick-off meeting

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

  Basin Interactions and predictability

  Cambridge University Press

• Paper by: Yala, K., Niang, N., Brajard, J. , Mejia, C., Ouattara, M., Hourany, R.E., 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: Boulze, H., Korosov, A., Brajard, J.

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

  Remote Sensing

• 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

• Conf-paper by: Langehaug, H.R., Counillon, F. , Keenlyside, N., Maroon, E.A., Matei, D., Mignot, J., Ortega, P., Yang, S., Wang, Y. , Yeager, S.G.

  Attribution of Predictive Skill Along the Atlantic Water Pathway

  Ocean Sciences Meeting 2020

• 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

• Book-chapter 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: 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

• Conf-paper by: Evensen, G.

  Implementering og bruk av Ensemble Kalman Filter for bedre reservoarforståelse og økt utvinning

  Offshore Stragegikonferansen

• Conf-paper by: Evensen, G.

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

  Invited presentation Florida Atlantic University

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

• Conf-paper by: Evensen, G.

  Consistent Formulation and Error Statistics for Reservoir History Matching

  ECMOR XVII

• Conf-paper by: Evensen, G.

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

  Second International Workshop on Data Assimilation for Decision Making, Colombia

• Conf-paper by: Evensen, G.

  Ensemble Kalman Filter for Increased Oil Recovery

  Oljedirektoratets IOR-pris 2020 webinar

• Paper by: Raj, R.P., Halo, I., Chatterjee, S., Belonenko, T.V., Paskyabi, M.B., 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: Xie, J. , Vos, M.d., Bertino, L. , Zhu, J., Counillon, F.

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

  Ocean Modelling

• Paper by: Chatterjee, S., Raj, R.P., Bertino, L. , Mernild, J.S.H., Murukesh, N., Ravichandran, M.

  The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration

  The Cryosphere Discussions

• 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)

• Paper by: Schuckmann, K.v., Traon, P.L., Smith, N., Pascual, A., Djavidnia, S., Gattuso, J., Grégoire, M., Nolan, G., Aaboe, S., Bertino, L. , Korosov, A., Lavergne, T., Müller, M.

  Copernicus Marine Service Ocean State Report, issue 4

  Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology

• Conf-paper by: Aalstad, K., Westermann, S., Fiddes, J., Karsten, L., McCreight, J., Bertino, L.

  Testing ensemble-based snow reanalysis in the Lakes basin using the ASO

  2020 Airborne Snow Observatories, Inc. Annual Workshop

• Conf-paper by: Aalstad, K., Westermann, S., Pirk, N., Fiddes, J., Karsten, L., McCreight, J., Alonso-Gonzalez, E., Bertino, L.

  Constraining land surface models with emerging observations

  LATICE 2020 Annual Meeting

• Conf-paper by: Aalstad, K., Westermann, S., Fiddes, J., McCreight, J., Bertino, L.

  Retrieving, validating, and assimilating fractional snow-covered area from emerging optical satellites for snow reanalysis

  EGU General Assembly 2020

• Paper by: Aalstad, K., Westermann, S., Bertino, L.

  Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography

  Remote Sensing of Environment

• 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

• Paper by: Cheng, S., Aydoğdu, A., Rampal, P., Carrassi, A., Bertino, L.

  Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion

  Oceans

• Book-chapter by: Bertino, L. , Xie, J.

  Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system

  Springer

• Paper by: Raj, R.P., Andersen, O.B., Johannessen, J.A., Benjamin, G., Chatterjee, S., Rose, S., Bonaduce, A., Horwath, M., Ranndal, H., Richter, K., Palanisamy, H., Ludwigsen, C., Bertino, L. , Nilsen, J.E.Ø., Knudsen, P., Hogg, A.E., Cazenave, A., Benveniste, J.

  Arctic sea level budget assessment during the GRACE/Argo time period

  Remote Sensing

• 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: 91