Outreach 2021

2024 / 2023 / 2022 / 2021 / 2020 / 2019

• Lecture 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

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

  Reinforcement learning ​for better geosteering decisions

  DigiWells seminar

• Lecture by: Alyaev, S.

  Geosteering for IOR: Results and further opportunities

  DigiWells seminar

• Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.

  Sequential probabilistic multi-modal inversion and prediction with deep learning

  DigiWells demo

• Lecture by: Alyaev, S. , Elsheikh, A., Ambrus, A., Jahani, N.

  Deep learning for probabilistic inversion during geosteering

  HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS

• Lecture by: Raanes, P.N.

  Temporal multi-scale adaptations for ensemble Kalman methods

  CoRea annual meeting

• Lecture 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

• Lecture 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

• Lecture 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

• Lecture 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

• Lecture by: Luo, X.

  An ensemble data assimilation workflow for subsurface characterization

  Talk Series in Computer Science and Applications - AML-CS

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

  Seismic modeling using dual-reservoir and geophysical models

  First International Meeting for Applied Geoscience & Energy

• Lecture 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

• Lecture 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

• Lecture 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

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

• Poster by: Wang, Y. , Counillon, F.S. , Keenlyside, N.S.

  Anomaly assimilation of hydrographic profile data with the Norwegian Climate Prediction Model (NorCPM)

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

• Lecture 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

• Poster by: Fransner, S.F.K., Bethke, I., Counillon, F.S. , Årthun, M., Samuelsen, A., Tjiputra, J., Olsen, A., Keenlyside, N.S.

  Predictability of Barents Sea Phytoplankton Concentration

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

• Lecture 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

• Lecture 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

• Poster by: Aalstad, K., Alonso-Gonzalez, E., Bazilova, V., Bertino, L. , Fiddes, J., Pirk, N., Westermann, S.

  Leveraging emerging Earth observations using data assimilation

  6th Conference on Modelling Hydrology, Climate and Land Surface Processes

• Lecture by: Barthelemy, S.J., Brajard, J. , Bertino, L. , Counillon, F.

  Super-resolution data assimilation

  WCRP-WWRP Symposium & ECMWF annual seminar on observations

• Lecture 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

• Lecture 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

• Lecture 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

• Lecture by: Counillon, F.S.

  Climate predictions

  CIMPA school: The mathematics of climate science

• Lecture by: Chang, Y., Evensen, G.

  Demonstration of the Digires ensemble-based reservoir management workflow

  DIGIRES Steering Committee Project Meeting

• Lecture by: Alyaev, S. , Fossum, K. , Shahriari, M., Pardo, D., Omella, Á.J., Larsen, D.S., Tveranger, J., Elsheikh, A., Jahani, N., Suter, E.C.

  Geological Predictions and Electromagnetic-Log Modelling using Deep Neural Networks

  SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS21)

• Lecture by: Evensen, G.

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

  SIAM GS

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

  Deep learning model of logging-while-drilling electromagnetic measurements

  ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

• Lecture by: Rammay, M.H., Alyaev, S. , Elsheikh, A., Bratvold, R.B.

  Real-time probabilistic inversion of DNN-based DeepEM model while accounting for model error

  ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

• Lecture 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

• Lecture by: Ambrus, A., Alyaev, S. , Ewald, R.

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

  Technical meeting

• Lecture by: Raanes, P.N.

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

  EnKF workshop

• Lecture 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

• Lecture by: Fossum, K.

  Assessment of correlation-based localization techniques

  2021 EnKF Workshop

• Lecture by: Fossum, K. , Mannseth, T. , Aanonsen, S.I.

  Model probabilities and hierarchical modeling

  2021 EnKF Workshop

• Lecture by: Luo, X.

  Novel ensemble data assimilation algorithms derived from a class of generalized cost functions

  International EnKF workshop 2021

• Lecture 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

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

  Approximately accounting for multilevel modeling error in multilevel data assimilation

  2021 International EnKF workshop

• Lecture by: Counillon, F.S.

  Data assimilation for climate prediction

  CHESS crash course on data assimilation, Bergen

• Poster by: Schevenhoven, F.J., Wang, S., Counillon, F.S. , Koseki, S., Carrassi, A., Keenlyside, N.S.

  Improving weather and climate predictions by training of supermodels

  CEDAS conference

• Lecture 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

• Lecture 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

• Poster by: Wang, Y. , Bethke, I., Counillon, F.S. , Keenlyside, N.S.

  Coupled reanalyses of NorCPM1 contributed to CMIP6 DCPP

  Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation

• Lecture 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

• Lecture by: Evensen, G.

  Introducing ensemble methods for reservoir management

  IOR Norway 2021

• Lecture 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

• Lecture 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

• Poster by: Keenlyside, N.S., Pariyar, S.K., Bethke, I., Wang, Y. , Counillon, F.S.

  Seasonal prediction in northern Atlantic Ocean and Norwegian Seas

  EGU General Assembly 2021

• Lecture by: Alyaev, S. , Fossum, K.

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

  NFES Stavanger Monthly Technical Meeting

• Lecture by: Evensen, G.

  A subspace iterative ensemble smoother for solving DA and inverse problems

  ISDA-online

• Lecture 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

• Lecture by: Alyaev, S. , Daireaux, B.

  Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints

  SPE/IADC International Drilling Conference and Exhibition

• Lecture by: Evensen, G.

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

  SIAM CSE

Total: 55