Outreach 2019

2024 / 2023 / 2022 / 2021 / 2020 / 2019

• Poster by: Bethke, I., Counillon, F. , Wang, Y. , Kimmritz, M., Chiu, P., Keenlyside, N.

  Sensitivity of decadal climate predictions in the North Atlantic to anomaly initialisation choices

  AGU annual meeting

• Lecture by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Counillon, F. , Wang, Y.

  Impact of Snow Initialization in Subseasonal-to-Seasonal (S2S) Winter Forecasts with the Norwegian Climate Prediction Model

  American Geophysical Union Fall Meeting

• Poster by: Alyaev, S. , Suter, E.C., Bratvold, R.B., Vefring, E., Jahani, N.

  Ensemble-based Decision-Support Workflow for Operational Geosteering

  Reservoir Characterization Conference

• Lecture by: Counillon, F. , Keenlyside, N., Barthélémy, S., Kimmritz, M., Wang, Y. , Bethke, I.

  Enhancing the skill of dynamical climate prediction: Avenue explored with the NorCPM

  Workshop: Big data, data assimilation, and uncertainty quantification

• Lecture by: Shahriari, M., Pardo, D., Picon, A., Alyaev, S. , Torres-Verdin, C.

  Simulation and Inversion of Resistivity Measurements Using Deep Learning

  Formation Evaluation and Geosteering Workshop

• Lecture by: Alyaev, S. , Daireaux, B., Suter, E.C., Hong, A., Bratvold, R.B., Luo, X. , Fossum, K.

  A Geosteeering Decision Support System that Balances Recovery and Drilling Risks

  Formation Evaluation and Geosteering Workshop

• Poster by: Sommer, M., Jakobsen, M., Alyaev, S.

  Inversion of electromagnetic data while drilling using a renormalized Born iterative method in k-space for anisotropic conductive media

  Formation Evaluation and Geosteering Workshop

• Lecture by: Alyaev, S. , Bendiksen, M., Holsaeter, A.M., Ivanova, S., Ewald, R.

  Geosteering competition the NORCE way

  Formation Evaluation and Geosteering Workshop

• Poster by: Suter, E.C., Alyaev, S.

  Towards 3D geomodel decision support while geosteering

  Formation Evaluation and Geosteering Workshop

• Lecture by: Luo, X. , Lorentzen, R.J. , Bhakta, T.

  An ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: a real field case study

  NORA (The Norwegian Artificial Intelligence Research Consortium) meeting at NORCE

• Lecture by: Wang, Y. , Bethke, I., Counillon, F. , Kimmritz, M., Keenlyside, N.

  NorCPM1 and its contribution to CMIP6 DCPP

  Blue-Action annual meeting

• Lecture by: Wang, Y. , Counillon, F. , Keenlyside, N., Kimmritz, M., Bethke, I., Langehaug, H.R., Li, F., Gao, Y.

  Norwegian Climate Prediction Model (NorCPM)

  China-Norway Third-pole-Arctic workshop

• Lecture by: Luo, X. , Lorentzen, R.J. , Bhakta, T.

  An ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: A real field case study

  FORCE symposium: Applied Machine Learning and Advanced Analytics with Oil and Gas Data

• Lecture by: Evensen, G.

  DIGIRES Ensemble-based decision making for reservoir engineering

  Data Assimilation for Decision making Universidad del Norte - Computer Science Department

• Lecture by: Matt, F.N., Magnusson, J.O., Nævdal, G. , Winstral, A., Burkhart, J.

  Improving long‐term hydropower inflow forecasts by assimilating snow data

  5th Conference on Modelling Hydrology, Climate and Land Surface Processes

• Lecture by: Wang, Y. , Counillon, F. , Keenlyside, N., Svendsen, L., Gleixner, S.N., Kimmritz, M., Dai, P., Gao, Y.

  Seasonal predictions initialised by assimilating SST data with the EnKF

  Bjerkes Centre annual meeting

• Poster by: Ohm, K.S., Weibull, W.W., Luo, X.

  Uncertainty quantification in non-linear seismic inversion: A comparison of three different methods

  SEG Annual Meeting 2019

• Poster by: Sommer, M., Jakobsen, M., Alyaev, S.

  Inversion of electromagnetic data while drilling using a distorted Born iterative method for anisotropic conductive media

  SEG Annual Meeting

• Lecture by: Alyaev, S.

  Geosteering decisions balancing drilling risks and well productivity

  Møte med AkerBP/Odfjell Drilling/Halliburton

• Lecture by: Luo, X.

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  Department Colloquium, Department of Mathematics, University of Bergen

• Lecture by: Counillon, F. , Keenlyside, N., Wang, Y. , Kimmritz, M., Bethke, I.

  Status of climate prediction and future challenges: a perspective from Norway

  International Computing in the Atmospheric Sciences (iCAS) symposium

• Poster by: Fossum, K. , Lorentzen, R.J.

  Assisted History Matching of 4Dseismic Data - A Comparative Study

  Fourth EAGE Conference on Petroleum Geostatistics

• Poster by: Luo, X. , Lorentzen, R.J. , Bhakta, T.

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  Petroleum Geostatistics 2019

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

  Stein Variational Gradient Descent with Application to Data Assimilation

  Petroleum Geostatistics

• Lecture by: Raanes, P.N. , Stordal, A.S. , Evensen, G.

  Revising the Method of Ensemble Randomized Maximum Likelihood

  Petroleum Geostatistics 2019

• Lecture by: Evensen, G.

  Implementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching

  Invited presentation University of Potsdam

• Lecture by: Counillon, F.

  Oceanography and Environmental Applications

  Data assimilation summer school

• Lecture by: Evensen, G.

  Course on Data Assimilation

  SUMMER SCHOOL ON DATA ASSIMILATION AND ITS APPLICATIONS IN OCEANOGRAPHY, HYDROLOGY, RISK & SAFETY AND RESERVOIR ENGINEERING

• Lecture by: Mannseth, T. , Fossum, K. , Tveit, S.

  Multilevel Assimilation of Geophysical Data

  ICIAM 19 - International congress on industrial and applied mathematics

• Lecture by: Jahani, N., Suter, E.C., Daireaux, B., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. , Alyaev, S.

  Realtime multi-objective optimization of well trajectory under geological uncertainty

  ICIAM 2019 Congress

• Lecture by: Dallolio, A., Bertino, L. , Chrpa, L., Johansen, T.A., Ludvigsen, M., Orvik, K.A., Smedsrud, L.H., Sousa, J., Utne, I.B., Johnston, P., Rajan, K.

  Long-duration Autonomy for Open Ocean Exploration

  RSS 2019 Workshop on Robots in the Wild: Challenges in Deploying Robust Autonomy for Robotic Exploration

• Lecture by: Kimmritz, M., Counillon, F. , Wang, Y. , Bethke, I., Keenlyside, N.

  Recent developments of the Norwegian Climate Prediction Model for seasonal to decadal predictions

  Lecture

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

  Biogeochemical Predictions - An update from Bergen

  Workshop on Predictability of North Atlantic marine climate and ecosystems, 19-21th June, FAMRI, Faroe Islands.

• Lecture by: Alyaev, S.

  Geosteering Decisions Balancing Recovery and Drilling Risks

  Collaboration to Increase Competitiveness

• Lecture by: Wang, Y. , Counillon, F. , Kimmritz, M.

  Development of ensemble-based data assimilation techniques for climate prediction

  Bjerkes Climate Prediction workshop

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

  Biogeochemical Predictions - Initialization and Sources of Potential Predictability

  Workshop on Climate Prediction in the Atlantic-Arctic Sector

• Poster by: Li, F., Orsolini, Y., Keenlyside, N., Shen, M., Wang, Y. , Counillon, F.

  Impact of snow initialisation in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model

  Workshop on Climate Prediction in the Atlantic-Arctic sector

• Lecture by: Counillon, F. , Keenlyside, N., Koseki, S., Bethke, I.

  The role of model bias for prediction skill and methods to constrain it

  Workshop on Climate Prediction in the Atlantic-Arctic sector

• Lecture by: Mannseth, T.

  Assimilation of Multiple Linearly Dependent Data Vectors

  14th International EnKF Workshop

• Lecture by: Luo, X.

  Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

  The 14th International Enkf Workshop

• Lecture by: Chang, Y., Lorentzen, R.J. , Nævdal, G. , Feng, T.

  Olympus optimization under geological uncertainty

  14TH INTERNATIONAL ENKF WORKSHOP

• Lecture by: Wang, Y. , Counillon, F. , Barth, A., Barthélémy, S.

  Empirical anisotropic multivariate localisation in the ensemble Kalman filter for Earth System models

  Internation EnKF workshop

• Lecture by: Counillon, F. , Keenlyside, N.S., Koseki, S., Bethke, I.

  Approaches to reduce model bias and improve climate predictions

  EnKF workshop

• Poster by: Soares, R.V., Luo, X. , Evensen, G.

  Use of K-SVD Algorithm to Sparsely Represent 4D Seismic Data

  14th International EnKF Workshop

• Lecture by: Raanes, P.N.

  DAPPER -- a brief overview

  modRSW workshop

• Lecture by: Evensen, G.

  Formulation of iterative ensemble smoothers

  Workshop on Data Assimilation: Methodology and Applications

• Lecture by: Soares, R.V., Luo, X. , Evensen, G.

  Sparse Representation of 4D Seismic Signal Based on Dictionary Learning

  SPE Norway One Day

• Lecture by: Aalstad, K., Westermann, S., Fiddes, J., Bertino, L.

  Retrieving the depletion of snow-covered area from multiple optical satellite sensors with applications for SWE reanalysis

  Living Planet Symposium

• Lecture by: Luo, X.

  An ensemble based learning framework for history matching with imperfect forward simulators

  The 11th annual meeting of International Society for Porous Media (InterPore 2019).

• Lecture by: Evensen, G.

  HM theory course - 1st round

  Internal workshop in Equinor

• Lecture by: Kimmritz, M., Counillon, F. , Wang, Y. , Keenlyside, N., Bethke, I.

  Assessing the contribution of ocean and sea ice initialization for seasonal prediction in the Arctic

  EGU

• Lecture by: Lorentzen, R.J.

  History Matching Production and 4D Seismic Data and Application to the Norne Field

  IOR NORWAY 2019

• Lecture by: Alyaev, S. , Bratvold, R.B., Hong, A., Suter, E.C., Jahani, N., Daireaux, B.

  Real-Time Decision Making for Geosteering

  SIAM Conference on Mathermatical & Computational Issures in the Geosciences (GS19)

• Lecture by: Raanes, P.N.

  EnKF -- FAQ

  • Visiting seminar, ENSEEIHT/IRIT, Toulouse
  • modRSW workshop, University of Leeds
  • EnKF workshop, Bergen

  The following questions were treated

  • Why 1/(N-1)?
  • About nonlinearity
    • How does it cause sampling error?
    • How does it cause divergence?
  • Why do we prefer the Kalman gain form?
  • About ensemble linearisations
    • What are they?
    • Why is this rarely discussed?
    • How does it relate to analytic derivatives?
• Lecture by: Counillon, F.

  Observations needed for enhancing the accuracy of reanalysis in polar regions

  CLIVAR Global Synthesis and Observations Panel (10th session)

• Lecture by: Evensen, G.

  Potential of iterative ensemble methods for solving the nonlinear state and parameter-estimation problem

  7th International Symposium on Data Assimilation

• Lecture by: Brodtkorb, A.R., Brajard, J. , Künsch, H.R., Hanea, R.G., Lye, K.O., Eidsvik, J.

  Geilo Winter School in eScience on Learning from Data

  Geilo Winter School in eScience

Total: 57