Publications 2025

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

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

• Paper by: Zhang, S., Chen, S., Greenhalgh, S., Huang, X., Luo, X. , Kim, D.

  Subsurface Dielectric Permittivity and Structure Along Chang’E‐4 Rover's 42‐Lunar‐Day Traverse Using Diffraction Focusing Methods

  Journal of Geophysical Research (JGR): Planets

• Conf-paper by: Alyaev, S. , Djecta, H.E., Muhammad, R.B., Cheraghi, Y., Bratvold, R.B., Li, J., Shevyrev, N., Bogoedov, D., An, H.

  Geology Forecast Challenge: Data-Driven Probabilistic Modeling of Subsurface Layer Deformations

  European Conference on Numerical Mathematics and Advanced Applications 2025

• Book-chapter by: Djecta, H.E., Alyaev, S. , Fossum, K. , Bratvold, R.B., Muhammad, R.B., Srivastava, A.

  Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach Meets Particle Filters

  Springer Nature

• Paper by: Kay, J., Weckwerth, T.M., Turner, D.D., Romine, G., Ying, Y.

  Impact of Assimilating Thermodynamic and Kinematic Profiles on a Convection Initiation Forecast

  Monthly Weather Review

• Paper by: Chen, F., Li, X., Wang, Y. , Pan, S.

  A spatiotemporal-guided hybrid learning model for mapping surface air relative humidity

  International Journal of Applied Earth Observation and Geoinformation

• Conf-paper by: Langehaug, H.R., Counillon, F.S. , Sandø, A.B., Chiu, P., Hordoir, R., Raj, R.P.

  A prominent role for ocean heat transport in predicting polar marine heatwaves

  Workshop on Understanding and Predicting Annual to Multi-Decadal Climate Variations

• Book-chapter by: Pacis, F.J.C., Alyaev, S. , Wiktorski, T.

  Domain-Adapted Embeddings Model Using Contrastive Learning for Drilling Text Data

  Springer Nature

• Conf-paper by: Alyaev, S. , Zhang, L., Daireaux, B., Chudoba, M., Wiktorski, T., Galuscakova, P.

  DDBot – AI for automatic population of DWIS semantical models

  DigiWells Anual Seminar

• Paper by: Djecta, H.E., Alyaev, S. , Fossum, K. , Bratvold, R.B., Sui, D.

  Geosteering Through the Lens of Decision Transformers: Toward Embodied Sequence Decision-Making

  Open Review

• PhD-thesis by: Nilsen, M.M.

  Optimization Methodology for Sustainable Reservoir Management

  Universitetet i Bergen

• Paper by: Chudoba, M., Wiktorski, T., Alyaev, S.

  Revisiting Structured Representation Use in LLM

  NIKT: Norsk IKT-konferanse for forskning og utdanning

• Paper by: Cheraghi, Y., Alyaev, S. , Bratvold, R.B., Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A.

  Analyzing expert decision-making in geosteering: Statistical insights from a large-scale controlled experiment

  Applied Computing and Geosciences

• PhD-thesis by: Muhammad, R.B., Bratvold, R.B., Alyaev, S.

  A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering

  Universitetet i Stavanger

• Conf-paper by: Wang, Y.

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  CoRea final meeting

• Paper by: Bertino, L.P.V. , Heimback, P., Blockley, E., Olason, E.

  Numerical models for monitoring and forecasting sea ice: a short description of present status

  State of the Planet (SP)

• Paper by: Amiri, B., Andersen, P.Ø., Ghaedi, M., Luo, X.

  Investigation of synergy between extended oil recovery and hydrogen storage in a producing field using the Norne reservoir model

  Gas Science and Engineering

• Paper by: Ouyang, M., Ye, W., Deng, D., Huang, X., Luo, X.

  Combining Envelope Inversion and Full Waveform Inversion for Velocity Model Building Using OBN Data

  Pure and Applied Geophysics (PAGEOPH)

• Paper by: Ye, W., Huang, X., Han, L., Wang, C., Luo, X. , Wang, N., Lei, Y., Xu, Y.

  Regularized Seismic Full Waveform Inversion Using Inverse Scattering Approach and Preconditioned L-BFGS Optimization

  IEEE Transactions on Geoscience and Remote Sensing

• Paper by: Oliver, D. , Sætrom, J., Skorstad, A., Saksvik, T., Kolbjørnsen, O.

  Robust multi-objective production optimization with CO2 emissions reduction

  Geoenergy Science and Engineering

• Paper by: Ambrus, A., Pacis, F.J.C., Alyaev, S. , Khosravanian, R., Kristiansen, T.G.

  Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

  Energies

• Paper by: Muhammad, R.B., Cheraghi, Y., Alyaev, S. , Srivastava, A., Bratvold, R.B.

  Geosteering Robot Powered by Multiple Probabilistic Interpretation and Artificial Intelligence: Benchmarking Against Human Experts

  SPE Journal

• Paper by: Zhang, L., Pacis, F.J.C., Alyaev, S. , Wiktorski, T.

  Cloud-free question answering from internal knowledge bases: Building an AI for drilling applications

  First Break

• Paper by: Muhammad, R.B., Alyaev, S. , Bratvold, R.B.

  Optimal sequential decision-making in geosteering: A reinforcement learning approach

  Geoenergy Science and Engineering

• Paper by: Muhammad, R.B., Srivastava, A., Alyaev, S. , Bratvold, R.B., Tartakovsky, D.M.

  High-precision geosteering via reinforcement learning and particle filters

  Computational Geosciences

• PhD-thesis by: Pacis, F.J.C., Wiktorski, T., Alyaev, S.

  Applied Transfer Learning in Drilling Engineering

  Universitetet i Stavanger

• Conf-paper by: Djecta, H.E., Alyaev, S. , Fossum, K. , Bratvold, R.B., Muhammad, R.B., Srivastava, A.

  Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach Meets Particle Filters

  ICCS 2025: 25th International Conference on Computational Science

• Book-chapter by: Jahani, N., Fossum, K. , Saputra, W., Torres-Verdin, C., Fjeldberg, E.R.

  Fast Multi-Level and Multi-Grid Stochastic Inversion of UDAR Measurements

  SPWLA

• Conf-paper by: Jahani, N., Fossum, K. , Saputra, W., Torres-Verdin, C., Fjeldberg, E.R.

  Fast Multi-Level and Multi-Grid Stochastic Inversion of UDAR Measurements

  SPWLA 66th Annual Logging Symposium

• Conf-paper by: Fossum, K. , Jahani, N.

  Ensemble-based inversion of structural geological models with borehole EM measurements

  2025 EAGE Annual 86th Conference & Exhibition

• Conf-paper by: Stordal, A.S.

  Estimating Bayesian Model Evidence and Stacking using Ensemble methods

  ENKF Workshop

• Paper by: Diab-Montero, H.A., Stordal, A.S. , Leeuwen, P.J.v., Vossepoel, F.C.

  Ensemble Kalman, adaptive Gaussian mixture, and particle flow filters for optimized earthquake occurrence estimation

  Computers & Geosciences

• Conf-paper by: Stordal, A.S.

  Unbiased estimation of model evidence using ensemble methods

  Data Assimilation Workshop

• Conf-paper by: Stordal, A.S. , Lorentzen, R.J.

  Comparing three different methods for production optimization

  EAGE Annual 2025

• Conf-paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A.S. , Leeuwenburgh, O., Barros, E.

  Closed Loop workflow for short-term optimization of wind -powered Reservoir Management

  Joint National Petrocentre Energy Conference (JNPC)

• Paper by: Nilsen, M.M. , Lorentzen, R.J. , Leeuwenburgh, O., Stordal, A.S. , Barros, E.

  Closed-loop workflow for short-term optimization of wind-powered reservoir management

  Cleaner Energy Systems

• Paper by: Nilsen, M.M. , Lorentzen, R.J. , Stordal, A.S. , Leeuwenburgh, O., Barros, E.

  Wind-powered reservoir management with application to robust multi-objective optimization

  Computational Geosciences

• Paper by: Oliver, D. , Raanes, P.N. , Skorstad, A., Sætrom, J.

  Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability

  Geoenergy Science and Engineering

• Paper by: Korosov, A., Ying, Y. , Olason, E.

  Tuning parameters of a sea ice model using machine learning

  Geoscientific Model Development

• Paper by: Xiu, Y., Wang, Y. , Luo, H., Oliva, L.C.G., Yang, Q.

  Impact of Ocean, Sea Ice or Atmosphere Initialization on Seasonal Prediction of Regional Antarctic Sea Ice

  Journal of Advances in Modeling Earth Systems

• Paper by: Chen, F., Li, X., Wang, Y.

  A knowledge-augmented deep fusion method for estimating near-surface air temperature

  Remote Sensing of Environment

• Paper by: Lin, Y., Yang, Q., Li, X., Dong, X., Luo, H., Nie, Y., Wang, J., Wang, Y. , Min, C.

  Ice-kNN-South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction

  JGR Machine Learning & Computation

• Paper by: Lin, Y., Min, C., Wang, Y. , Wang, K., Luo, H., Ali, A., Liu, J., Yang, Q.

  Improving Arctic Sea Ice Predictions of the Norwegian Climate Prediction Model Through Dynamical Downscaling

  Journal of Geophysical Research (JGR): Atmospheres

• Conf-paper by: Xiu, Y., Wang, Y. , Suo, L., Dalaiden, Q., Chiu, P., Nie, Y., Luo, H., Yang, Q.

  Influence of tropical Atlantic sea surface temperature on the sea ice variability in the Weddell Sea

  AOGS 2025

• Conf-paper by: Wang, Y. , Xiu, Y., Suo, L., Dalaiden, Q., Oliva, L.C.G., Chiu, P., Nie, Y., Luo, H., Yang, Q.

  From initialization to teleconnections: understanding predictability and variability of Weddell sea ice

  Nansen-Zhu Annual Meeting

• Paper by: Palerme, C., Röhrs, J., Lavergne, T., Rusin, J., Kvanum, A.F., Sørensen, J.A.M., Melsom, A., Brajard, J. , Idzanovic, M., Moro, M.D., Müller, M.

  MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic

  Geoscientific Model Development

• Paper by: Bacherely, M., Brajard, J. , Patacchiola, M., Illig, S., Keenlyside, N.S.

  Predicting Atlantic and Benguela Niño events with deep learning

  Science Advances

• Paper by: He, Z., Wang, Y. , Brajard, J. , Wang, X., Shen, Z.

  Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning

  The Cryosphere

• Paper by: He, Z., Brajard, J. , Wang, Y. , Wang, X., Shen, Z.

  Improving dynamical climate predictions with machine learning: insights from a twin experiment framework

  Nonlinear processes in geophysics

• Paper by: Hourani, M.Y., Ghous, A., Sridaran, R., Lien, M. , Vassvåg, S., Ruiz, H.

  Implementation of Time-Lapse Gravity and Subsidence Monitoring for Optimising the Development of the Scarborough Gas Field | Earthdoc

  First Break

• Conf-paper by: Lien, M.

  Gravity field monitoring, Viking and Morcambe CCS

  Risk Management and Monitoring Network Meeting 2025

• Paper by: Lien, M. , Lorentzen, R.J. , Luo, X. , Eikrem, K.S. , Boullenger, B., Leeuwenburgh, O., Smeenk, S.

  Demonstrating a Multi-Physics Data Assimilation Framework on the Smeaheia CO2 Storage Case | Earthdoc

  24th European Meeting of Environmental and Engineering Geophysics

• Paper by: Heggelund, Y., Lien, M.Ø. , Otto, D.

  The Application of a Multidisciplinary Framework for Optimizing the Monitoring System for Geological CO2 Storage

  C — Journal of Carbon Research

• Conf-paper by: Lien, M.

  Combining AVA, 4D gravity, well-pressure and seafloor displacement data within an ensemble-based inversion framework

  World CCUS Conference 2025, CO2 Storage and Monitoring: Challenges, Opportunities and Innovations Workshop

• Paper by: Oliva, L.C.G., Carrassi, A., Counillon, F.

  Exploring the influence of spatio-temporal scale differences in coupled data assimilation

  Nonlinear processes in geophysics

• Paper by: Singh, T. , Counillon, F.S. , Tjiputra, J., Wang, Y.

  A Novel Ensemble-Based Parameter Estimation for Improving Ocean Biogeochemistry in an Earth System Model

  Journal of Advances in Modeling Earth Systems

• Paper by: Silva, E., Counillon, F.S. , Brajard, J. , Davy, R., Outten, S., Pettersson, L., Keenlyside, N.S.

  Warming and freshening coastal waters impact harmful algal bloom frequency in high latitudes

  Communications Earth & Environment

• Paper by: Wang, Y. , Counillon, F.S. , Svendsen, L., Chiu, P., Keenlyside, N.S., Laloyaux, P., Koseki, M., Boisseson, E.d.

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  Earth System Science Data

• Conf-paper by: Wang, Y. , Counillon, F.S. , Svendsen, L., Chiu, P., Keenlyside, N.S., Laloyaux, P., Boisseson, E.d., Koseki, M.

  An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)

  NERSC internal seminar

• Conf-paper by: Wang, Y. , Counillon, F.S.

  Achievements of the CoRea Project in Coupled Climate Reanalysis

  International EnKF workshop 2025

• Conf-paper by: Williams, N., Wang, Y. , Counillon, F.S.

  Improving Arctic sea ice reanalysis and seasonal prediction with assimilation of sea ice thickness and drift observations

  BACO-25

• Paper by: Williams, N., Wang, Y. , Counillon, F.S.

  Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS

  The Cryosphere

• Paper by: Vossepoel, F.C., Evensen, G. , Leeuwen, P.J.v.

  Adaptive correlation- and distance-based localization for iterative ensemble smoothers in a coupled nonlinear multiscale model

  Monthly Weather Review

• Paper by: Wang, Y. , Counillon, F.S. , Ying, Y. , Barthelemy, S., Evensen, G.

  Improving Ocean Reanalysis with the Offline Ensemble Kalman Smoother

  Tellus A: Dynamic Meteorology and Oceanography

• Paper by: Dong, C., Zhang, Z., Keenlyside, N., Sobolowski, S.P., Otterå, O.H., Bonaduce, A., Xie, J. , Raj, R.P., Liu, Y., Liu, B., Wu, M.

  Intensification of extreme cold events in East Asia in response to global mean sea-level rise

  Nature Communications

• Paper by: Ciavatta, S., Lazzari, P., Alvarez, E., Bertino, L. , Bolding, K., Bruggeman, J., Capet, A., Cossarini, G., Daryabor, F., Nerger, L., Popov, M., Skakala, J., Spada, S., Teruzzi, A., Wakamatsu, T., Yumruktepe, V.Ç., Brasseur, P.

  Control of simulated ocean ecosystem indicators by biogeochemical observations

  Progress in Oceanography

• Paper by: Edel, L., Xie, J. , Korosov, A., Brajard, J. , Bertino, L.

  Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach

  The Cryosphere

• Paper by: Mendonça, F., Martins, F., Bertino, L.

  Design of an Observing System Simulation Experiment for the Operational Model of the Southwestern Coast of Iberia (SOMA)

  Journal of Marine Science and Engineering (JMSE)

• Paper by: Durand, C., Finn, T.S., Farchi, A., Bocquet, M., Brajard, J. , Bertino, L.

  Four-dimensional variational data assimilation with a sea-ice thickness emulator

  The Cryosphere

• Paper by: Martin, M.J., Hoteit, I., Bertino, L.P.V. , Moore, A.M.

  Data assimilation schemes for ocean forecasting: state of the art

  State of the Planet (SP)

• Paper by: Behura, J., Alyaev, S.

  Geophysics Bright Spots: Strategic geosteering workflow

  The Leading Edge

Total: 70