Publications 2021

2026 / 2025 / 2024 / 2023 / 2022 / 2021 / 2020 / 2019

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

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C.

  Reducing systematic errors due to deformation of organs at risk in radiotherapy

  Medical Physics (Lancaster)

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

  Homotopy scattering series for seismic forward modelling with variable density and velocity

  Geophysical Prospecting

• Conf-paper by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.

  Sequential probabilistic multi-modal inversion and prediction with deep learning

  DigiWells demo

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

  Systematic Decisions Under Uncertainty: An Experiment Towards Better Geosteering Operations

  SPE/IADC International Drilling Conference and Exhibition

• Book-chapter by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B.

  Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy

  Society of Petroleum Engineers

• Conf-paper by: Alyaev, S. , Daireaux, B.

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  SPE/IADC International Drilling Conference and Exhibition

• Conf-paper by: Muhammad, R.B., Bratvold, R.B., Alyaev, S.

  Reinforcement learning ​for better geosteering decisions

  DigiWells seminar

• Paper by: Solomon, A., Heuzé, C., Rabe, B., Bacon, S., Bertino, L. , Heimback, P., Inoue, J., Iovino, D., Mottram, R., Zhang, X., Aksenov, Y., McAdam, R., Nguyen, A., Raj, R.P., Tang, H.

  Freshwater in the Arctic Ocean 2010-2019

  Ocean Science

• Paper by: Singh, T. , Saha, U., Prasad, V., Gupta, M.D.

  Assessment of newly-developed high resolution reanalyses (IMDAA, NGFS and ERA5) against rainfall observations for Indian region

  Atmospheric research

• Conf-paper by: Bhakta, T. , Lien, M. , Mannseth, T.

  Monitoring of CO2 saturation plume movement from time-lapse inverted-seismic and gravity data using an ensemble-based method

  82nd EAGE Annual Conference & Exhibition

• Paper by: Lie, E.O., Bhakta, T. , Sandø, I.

  Seismic modeling using dual-reservoir and geophysical models

  SEG technical program expanded abstracts

• Conf-paper by: Lie, E.O., Bhakta, T. , Sandø, I.

  Seismic modeling using dual-reservoir and geophysical models

  First International Meeting for Applied Geoscience & Energy

• Conf-paper by: Luo, X.

  An ensemble data assimilation workflow for subsurface characterization

  Talk Series in Computer Science and Applications - AML-CS

• Paper by: Xia, C., Luo, X. , Hu, B.X., Riva, M., Guadagnini, A.

  Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations

  Hydrology and Earth System Sciences (HESS)

• Paper by: Luo, X.

  Novel iterative ensemble smoothers derived from a class of generalized cost functions

  Computational Geosciences

• Paper by: Wang, L., Oliver, D.

  Improving Sequential Decisions – Efficiently Accounting for Future Learning

  Journal of Petroleum Science and Engineering

• Paper by: Ba, Y., Wiljes, J.d., Oliver, D. , Reich, S.

  Randomized maximum likelihood based posterior sampling

  Computational Geosciences

• Paper by: Oliver, D.S.

  Information content in 4D seismic data: Effect of correlated noise

  Journal of Petroleum Science and Engineering

• Conf-paper by: Rammay, M.H., Alyaev, S. , Elsheikh, A., Bratvold, R.B.

  Real-time probabilistic inversion with model-error assessment of a deep learning approximation of borehole electromagnetic measurements

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

• Conf-paper by: Alyaev, S.

  Geosteering for IOR: Results and further opportunities

  DigiWells seminar

• Paper by: Thune, E.L., Kosinski, P.J., Balakin, B., Alyaev, S.

  A numerical study of flow field and particle deposition in nasal channels with deviant geometry

  Engineering Applications of Computational Fluid Mechanics

• Conf-paper by: Rammay, M.H., Alyaev, S.

  Improving forecast reliability of the decline curve models while accounting for model-error

  International Field Exploration and Development Conference 2021

• Paper by: Alyaev, S. , Ivanova, S., Holsaeter, A.M., Bratvold, R.B., Bendiksen, M.

  An interactive sequential-decision benchmark from geosteering

  Applied Computing and Geosciences

• Book-chapter by: Alyaev, S. , Daireaux, B.

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  Society of Petroleum Engineers

• Paper by: Alyaev, S. , Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C.

  Modeling extra-deep electromagnetic logs using a deep neural network

  Geophysics

• Conf-paper by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B.

  Unlocking the Human Factor: Geosteering Decision Making as a Component of Drilling Operational Efficacy

  The Unconventional Resources Technology Conference

• Conf-paper by: Alyaev, S. , Ambrus, A., Pacis, F.J.C., Jahani, N., Wiktorski, T., Elsheikh, A.

  Drilling Process Modelling with Deep Learning: Towards ROP Prediction

  DigiWells seminar

• Conf-paper by: Alyaev, S. , Elsheikh, A., Ambrus, A., Jahani, N.

  Deep learning for probabilistic inversion during geosteering

  HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS

• Conf-paper by: Ambrus, A., Alyaev, S. , Ewald, R.

  Drilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)

  Technical meeting

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

  Systematic decisions under uncertainty : An experiment towards better geosteering operations

  Society of Petroleum Engineers

• Conf-paper by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C.

  REAL-TIME ENSEMBLE-BASED WELL-LOG INTERPRETATION FOR GEOSTEERING

  SPWLA 62nd Annual Symposium

• Book-chapter by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C.

  Real-Time Ensemble-Based Well-Log Interpretation for Geosteering

  Society of Petroleum Engineers

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.

  Deep learning for prediction of complex geology ahead of drilling

  Lecture Notes in Computer Science (LNCS)

• Conf-paper by: Fossum, K.

  Assessment of correlation-based localization techniques

  2021 EnKF Workshop

• Conf-paper by: Fossum, K. , Alyaev, S. , Suter, E.C., Tossi, G., Mele, M.

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  3rd EAGE/SPE Geosteering Workshop

• Conf-paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A.

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  3rd EAGE/SPE Geosteering Workshop

• Book-chapter by: Fossum, K. , Alyaev, S. , Suter, E.C., Tosi, G., Mele, M.

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A.

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  First Break

• Conf-paper by: Alyaev, S. , Fossum, K. , Tveranger, J., Elsheikh, A.

  Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling

  Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

• Conf-paper by: Alyaev, S. , Fossum, K.

  Probabilistic Geological Predictions and EM-Log Modelling using Deep Neural Networks

  NFES Stavanger Monthly Technical Meeting

• Book-chapter by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A.

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network (conference extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T.

  Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error

  Frontiers in Applied Mathematics and Statistics

• Conf-paper by: Fossum, K. , Mannseth, T. , Aanonsen, S.I.

  Model probabilities and hierarchical modeling

  2021 EnKF Workshop

• Conf-paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.

  Deep learning for prediction of complex geology ahead of drilling

  ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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

  Approximately accounting for multilevel modeling error in multilevel data assimilation

  2021 International EnKF workshop

• Conf-paper by: Gaden, T.S., Ghetti, C., Kvestad, I., Bieleninik, L., Stordal, A.S. , Assmus, J., Arnon, S., Gold, C.

  Short-term Music Therapy for Premature Infants and their Parents: Results from international randomized trial LongSTEP

  4th Congress of joint European Neonatal Societies

• Paper by: Rørtveit, Ø.L., Hysing, L.B., Stordal, A.S. , Pilskog, S.M.C.

  Reducing systematic errors due to deformation of organs at risk in radiotherapy

  Medical Physics

• Paper by: Oguntola, M.B., Lorentzen, R.J.

  Ensemble-based constrained optimization using an exterior penalty method

  Journal of Petroleum Science and Engineering

• 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

  Journal of Petroleum Science and Engineering

• Conf-paper by: Raanes, P.N.

  Temporal multi-scale adaptations for ensemble Kalman methods

  CoRea annual meeting

• Conf-paper by: Raanes, P.N.

  DAPPER: Data Assimilation with Python: a Package for Experimental Research

  EnKF workshop

• Conf-paper by: Nævdal, G. , Evje, S., Waldeland, J.O.

  Data-driven computational simulation of tumor progression: Characterization of tumor microenvironment using ES-MDA

  EnKF workshop 2021

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

  Robust and efficient optimization demonstrated on the Olympus field

  IOR Centre’s Workshop on Production optimization, value of information and decision-making

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

  Homotopy scattering series for seismic forward modelling with variable density and velocity

  Geophysical Prospecting

• Review-paper by: Oliver, D. , Fossum, K. , Bhakta, T. , Sandø, I., Nævdal, G. , Lorentzen, R.J.

  4D seismic history matching

  Journal of Petroleum Science and Engineering

• Conf-paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D.

  Propagation of Thermohaline Anomalies and their predictive potential in the Northern North Atlantic

  EGU General Assembly 2021

• Paper by: Bouget, V., Béréziat, D., Brajard, J. , Charantonis, A., Filoche, A.

  Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting

  Remote Sensing

• Paper by: Baaklini, G., Issa, L., Fakhri, M., Brajard, J. , Fifani, G., Menna, M., Taupier-Letage, I., Bosse, A., Mortier, L.

  Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types

  Ocean Modelling

• Paper by: Sonnewald, M., Lguensat, R., Jones, D., Brajard, J. , Dueben, P., Balaji, V.

  Bridging observations, theory and numerical simulation of the ocean using machine learning

  Environmental Research Letters

• Conf-paper by: Wang, S., Counillon, F.S. , Koseki, S., Keenlyside, N.S., Gupta, A.K., Shen, M.

  Recent development of a supermodel - an interactive multi- model ensemble

  Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation

• Conf-paper by: Counillon, F.S. , Wang, S., Keenlyside, N.S., Koseki, S., Gupta, A.K., Devilliers, M., Shen, M.

  Application of supermodeling to Earth system modelling

  Multi-annual to Decadal Climate Predictability in the North Atlantic-Arctic Sector

• Conf-paper by: Counillon, F.S.

  Climate predictions

  CIMPA school: The mathematics of climate science

• Paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D., Årthun, M.

  Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway

  Journal of Climate

• Conf-paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y.

  Relating model bias and prediction skill in the equatorial Atlantic

  European Geophysical Union 2021

• Paper by: Silva, E., Counillon, F. , Brajard, J. , Korosov, A., Pettersson, L.H., Samuelsen, A., Keenlyside, N.

  Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas

  Frontiers in Marine Science

• Paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y.

  Relating model bias and prediction skill in the equatorial Atlantic

  Climate Dynamics

• Conf-paper by: Counillon, F.S.

  Data assimilation for climate prediction

  CHESS crash course on data assimilation, Bergen

• Paper by: Bethke, I., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Kimmritz, M., Fransner, F., Samuelsen, A., Langehaug, H.R., Svendsen, L., Chiu, P., Passos, L.G., Bentsen, M., Guo, C., Gupta, A.K., Tjiputra, J., Kirkevåg, A., Oliviè, D.J.L., Seland, Ø., Vågane, J.S., Fan, Y., Eldevik, T.

  NorCPM1 and its contribution to CMIP6 DCPP

  Geoscientific Model Development

• Conf-paper by: Chang, Y., Evensen, G.

  The DIGIRES workflow for ensemble-based decision making

  IOR Centre’s Workshop on Production optimization, value of information and decision-making

• Paper by: Neto, G.M.S., Soares, R., Evensen, G. , Davolio, A., Schiozer, D.J.

  Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation

  SPE Journal

• Conf-paper by: Chang, Y., Evensen, G.

  Demonstration of the Digires ensemble-based reservoir management workflow

  DIGIRES Steering Committee Project Meeting

• Paper by: Evensen, G.

  Formulating the history matching problem with consistent error statistics

  Computational Geosciences

• Paper by: Fleurantin, E., Sampson, C., Maes, D.P., Bennett, J., Fernandes-Nunez, T., Marx, S., Evensen, G.

  A study of disproportionately affected populations by race/ethnicity during the SARS-CoV-2 pandemic using multi-population SEIR modeling and ensemble data assimilation

  Foundations of Data Science (FoDS)

• Conf-paper by: Evensen, G.

  A subspace iterative ensemble smoother for solving DA and inverse problems

  ISDA-online

• Conf-paper by: Evensen, G.

  Using the power of data assimilation to model the COVID-19 pandemic

  Kolloquium für Atmosphäre und Klima

• Conf-paper by: Evensen, G.

  Efficient Subspace Implementation of an Iterative Ensemble Smoother for Solving Inverse Problems

  SIAM CSE

• Paper by: Stordal, A.S. , Moraes, R.J., Raanes, P.N. , Evensen, G.

  p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

  Mathematical Geosciences

• Conf-paper by: Evensen, G.

  Introducing ensemble methods for reservoir management

  IOR Norway 2021

• Conf-paper by: Evensen, G.

  An Iterative Ensemble-Smoother Solution of the HM Problem Formulated with Consistent Error Statistics

  SIAM GS

• Paper by: Liu, Y., Xie, J. , Liu, Z., Gan, J., Zhu, J.

  The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Lai, W., Gan, J., Liu, Y., Liu, Z., Xie, J. , Zhu, J.

  Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model

  Journal of Atmospheric and Oceanic Technology

• Paper by: Lyu, G., Armin, K., Nuno, S., Stammer, D., Xie, J.

  Arctic Ocean-Sea ice reanalysis for the period 2007-2016 using the adjoint method

  Quarterly Journal of the Royal Meteorological Society

• Paper by: Xiu, Y., Min, C., Xie, J. , Mu, L., Han, B., Yang, Q.

  Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4

  Journal of Glaciology

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

  Retrieving fractional snow-covered area from optical satellites using data assimilation

  SIOS Online conference on remote sensing in Svalbard

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

  Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration

  The Cryosphere

• Paper by: Mangini, F., Chafik, L., Madonna, E., Li, C., Bertino, L. , Nilsen, J.E.Ø.

  The relationship between the eddy-driven jet stream and northern European sea level variability

  Tellus A: Dynamic Meteorology and Oceanography

• Conf-paper by: Aalstad, K., Alonso-Gonzalez, E., Bertino, L. , Fiddes, J., Hove, A.v., Pirk, N., Westermann, S., Yilmaz, Y.A.

  Learning from Earth observations using data assimilation

  LATICE 2021 Annual Meeting

• Book-chapter by: Bertino, L. , Ali, A., Carrasco, A., Lien, V.S., Melsom, A.

  The Arctic marine forecasting center in the first Copernicus period

  EuroGoos AISBL

• Conf-paper by: Aalstad, K., Alonso-Gonzalez, E., Bazilova, V., Bertino, L. , Fiddes, J., Filhol, S., Pirk, N., Westermann, S., Yilmaz, Y.A.

  Unmixing satellite imagery using data assimilation to map snow and albedo

  IGS Nordic Branch Meeting 2021

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

  Combining data assimilation and machine learning to infer unresolved scale parametrization

  Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

• Conf-paper by: Xie, J. , Raj, R.P., Bertino, L. , Martínez, J., Gabarró, C., Catany, R.

  Impacts of assimilating Arctic surface sea salinities from SMOS in a coupled ocean and sea ice reanalysis

  EGU General Assembly 2021

• Paper by: Singh, T. , Saha, U., Prasad, V., Das Gupta, M.

  Assessment of newly-developed high resolution reanalyses (IMDAA, NGFS and ERA5) against rainfall observations for Indian region

  Atmospheric research

• Paper by: Oen Lie, E., Bhakta, T. , Sandø, I.

  Seismic modeling using dual-reservoir and geophysical models

  SEG technical program expanded abstracts

• Conf-paper by: Bertino, L. , Ali, A., Carrasco, A., Lien, V.S., Melsom, A.

  The Arctic marine forecasting center in the first Copernicus period

  Proceedings of the 9th EuroGoos International Conference “Advances in Operational Oceanography”: Expanding Europe’s Observing and Forecasting Capacity

• Paper by: Luo, X.

  Novel iterative ensemble smoothers derived from a class of generalized cost functions

  Computational Geosciences

• Paper by: Baaklini, G., Issa, L., Fakhri, M., Brajard, J. , Fifani, G., Menna, M., Taupier-Letage, I., Bosse, A., Mortier, L.

  Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types

  Ocean Modelling

• Paper by: Sonnewald, M., Lguensat, R., Jones, D., Brajard, J. , Dueben, P., Balaji, V.

  Bridging observations, theory and numerical simulation of the ocean using machine learning

  Environmental Research Letters

• Paper by: Bouget, V., Béréziat, D., Brajard, J. , Charantonis, A., Filoche, A.

  Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting

  Remote Sensing

• Paper by: Liu, Y., Xie, J. , Liu, Z., Gan, J., Zhu, J.

  The Assimilation of Temperature and Salinity Profile Observations for Forecasting the River–Estuary–Shelf Waters

  Journal of Geophysical Research (JGR): Oceans

• Paper by: Lyu, G., Armin, K., Nuno, S., Stammer, D., Xie, J.

  Arctic Ocean-Sea ice reanalysis for the period 2007-2016 using the adjoint method

  Quarterly Journal of the Royal Meteorological Society

• Conf-paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A.

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network (conference extended abstract)

  European Association of Geoscientists and Engineers (EAGE)

• Conf-paper by: Fossum, K. , Alyaev, S. , Suter, E.C., Tosi, G., Mele, M.

  Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

  European Association of Geoscientists and Engineers (EAGE)

• Paper by: Alyaev, S. , Ivanova, S., Holsaeter, A.M., Bratvold, R.B., Bendiksen, M.

  An interactive sequential-decision benchmark from geosteering

  Applied Computing and Geosciences

• Paper by: Alyaev, S. , Tveranger, J., Fossum, K. , Elsheikh, A.

  Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

  First Break

• Paper by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.

  Deep learning for prediction of complex geology ahead of drilling

  Lecture Notes in Computer Science (LNCS)

• Paper by: Alyaev, S. , Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Jahani, N., Suter, E.C.

  Modeling extra-deep electromagnetic logs using a deep neural network

  Geophysics

• Paper by: Thune, E.L., Kosinski, P.J., Balakin, B., Alyaev, S.

  A numerical study of flow field and particle deposition in nasal channels with deviant geometry

  Engineering Applications of Computational Fluid Mechanics

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

  Systematic decisions under uncertainty : An experiment towards better geosteering operations

  Society of Petroleum Engineers

• Conf-paper by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B.

  Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy

  Society of Petroleum Engineers

• Conf-paper by: Jahani, N., Ambia, J., Fossum, K. , Alyaev, S. , Suter, E.C., Torres-Verdin, C.

  Real-Time Ensemble-Based Well-Log Interpretation for Geosteering

  Society of Petroleum Engineers

• Conf-paper by: Alyaev, S. , Daireaux, B.

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  Society of Petroleum Engineers

• Review-paper by: Oliver, D. , Fossum, K. , Bhakta, T. , Sandø, I., Nævdal, G. , Lorentzen, R.J.

  4D seismic history matching

  Journal of Petroleum Science and Engineering

• 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

  Journal of Petroleum Science and Engineering

• Paper by: Oguntola, M.B., Lorentzen, R.J.

  Ensemble-based constrained optimization using an exterior penalty method

  Journal of Petroleum Science and Engineering

• Paper by: Silva, E., Counillon, F. , Brajard, J. , Korosov, A., Pettersson, L.H., Samuelsen, A., Keenlyside, N.

  Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas

  Frontiers in Marine Science

• Paper by: Counillon, F.S. , Keenlyside, N.S., Toniazzo, T., Koseki, S., Demissie, T.D., Bethke, I., Wang, Y.

  Relating model bias and prediction skill in the equatorial Atlantic

  Climate Dynamics

• Paper by: Bethke, I., Wang, Y. , Counillon, F.S. , Keenlyside, N.S., Kimmritz, M., Fransner, F., Samuelsen, A., Langehaug, H.R., Svendsen, L., Chiu, P., Passos, L.G., Bentsen, M., Guo, C., Gupta, A.K., Tjiputra, J., Kirkevåg, A., Oliviè, D.J.L., Seland, Ø., Vågane, J.S., Fan, Y., Eldevik, T.

  NorCPM1 and its contribution to CMIP6 DCPP

  Geoscientific Model Development

• Paper by: Langehaug, H.R., Ortega, P., Counillon, F.S. , Matei, D., Maroon, E.A., Keenlyside, N.S., Mignot, J., Wang, Y. , Swingedouw, D., Bethke, I., Yang, S., Danabasoglu, G., Bellucci, A., Ruggieri, P., Nicoli, D., Årthun, M.

  Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway

  Journal of Climate

• Paper by: Evensen, G.

  Formulating the history matching problem with consistent error statistics

  Computational Geosciences

• Paper by: Stordal, A.S. , Moraes, R.J., Raanes, P.N. , Evensen, G.

  p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

  Mathematical Geosciences

• Paper by: Fleurantin, E., Sampson, C., Maes, D.P., Bennett, J., Fernandes-Nunez, T., Marx, S., Evensen, G.

  A STUDY OF DISPROPORTIONATELY AFFECTED POPULATIONS BY RACE/ETHNICITY DURING THE SARS-COV-2 PANDEMIC USING MULTI-POPULATION SEIR MODELING AND ENSEMBLE DATA ASSIMILATION

  Foundations of Data Science (FoDS)

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

  Combining data assimilation and machine learning to infer unresolved scale parametrization

  Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

• Paper by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T.

  Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error

  Frontiers in Applied Mathematics and Statistics

• Paper by: Neto, G.M.S., Soares, R., Evensen, G. , Davolio, A., Schiozer, D.J.

  Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse-Seismic-Data Assimilation

  SPE Journal

• Paper by: Xia, C., Luo, X. , Hu, B.X., Riva, M., Guadagnini, A.

  Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations

  Hydrology and Earth System Sciences

• Paper by: Lai, W., Gan, J., Liu, Y., Liu, Z., Xie, J. , Zhu, J.

  Assimilating In Situ and Remote Sensing Observations in a Highly Variable Estuary–Shelf Model

  Journal of Atmospheric and Oceanic Technology

• Paper by: Xiu, Y., Min, C., Xie, J. , Mu, L., Han, B., Yang, Q.

  Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4

  Journal of Glaciology

Total: 127