Outreach 2022

Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H.
Predicting likely stratigraphy realizations from shallow logs with AI.
NFES Monthly Technical Meeting

Lecture by: Pacis, F.J.C., Wiktorski, T., Alyaev, S. , Ambrus, A., Khosravanian, R., Kristiansen, T.G.
Exploring transfer learning for ROP prediction on the NCS.
Annual seminar SFI DigiWells

Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.H.
AI‐based multi‐modal prediction of stratigraphy to inform drilling performance.
Annual seminar SFI DigiWells

Lecture by: Alyaev, S. , Jahani, N., Fossum, K. , Tveranger, J., Rammay, M.H., Larsen, D.S., Saint, C., Bratvold, R.B., Elsheikh, A.H.
Geosteering results: It's time to understand where the bit is heading.
Annual seminar SFI DigiWells

Lecture by: Raanes, P.N.
Leastsquare linear regression (LLS) in ensemble methods.
Seminar series

Lecture by: Counillon, F.S. , Keenlyside, N.S., Wang, S., Koseki, S., Schevenhoven, F.J., Gupta, A.K., Shen, M.
Supermodeling for improving the representation of climate variability.
Seamless seasonaltodecadal predictions state

Lecture by: Counillon, F.S. , Brajard, J. , Wang, Y.
Optimalweight ensemble for a continuous subseasonal forecast.
Seamless seasonaltodecadal predictions state

Lecture by: Tveranger, J., Valestrand, R.
Database/konsekvensutredningsportal  presentasjon av foreløpig arbeid.
Impactwind kickoff seminar

Lecture by: Evensen, G.
Improving pandemic forecasts by assimilating observations.
Nettverksmøte for modelleringsmiljøene

Poster by: Alyaev, S.
Gamification of shallow geosteering.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Lecture by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B.
What can we learn after 10000 geosteering decisions?.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Poster by: Ambrus, A., Alyaev, S. , Jahani, N., Elsheikh, A.H.
AIbased multimodal interpretation of logs for aheadofbit probabilistic ROP prediction.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Lecture by: Rammay, M.H., Alyaev, S. , Bratvold, R.B., Larsen, D.S., Saint, C.
Realtime estimation of geological layers' profiles in an anisotropic environment while accounting for modelerror: A case study on the Goliat field.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Lecture by: Fossum, K. , Alyaev, S. , Tveranger, J., Elsheikh, A.H.
Verification of a realtime method for updating the geosteering earth model based on GAN.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Poster by: Saputera, D.H., Jakobsen, M., Alyaev, S. , Jahani, N., Eikrem, K.S. , van Dongen, K.
GPUaccelerated integral equation method for 3D modelling of induction logs.
Geosteering and Formation Evaluation Workshop by NORCE and NFES

Lecture by: Bethke, I., Bonaduce, A., Richter, K., Raj, R.P., Bilge, T.A., Chiu, P., Counillon, F.S. , Garcia, L., Keenlyside, N.S., Shen, M., Bentsen, M., Gupta, A.K., Nummelin, A.H.
Sea Level Projection and Reconstruction Unit (SeaPR) highlight talk: Regional sealevel change attribution with NorESM experiments.
Bjerknes Annual Meeting (BAM)

Lecture by: Raanes, P.N.
Theoretical review of ensemble (LLS) gradients for robust optimisation (EnOpt).
CoRea annual meeting

Lecture by: Wang, Y.
Recent developments of NorCPM in climate reanalysis.
CoRea annual meeting

Lecture by: Counillon, F.S. , Keenlyside, N.S.
Process level characterization of Earth System Model diversity using observations and AIML based emulators: A case study using E3SM and NorESM.
AI workshop NorwayUSA

Lecture by: Lien, M.Ø., Ködel, U., Candela, T., Mellors, R., Pitarka, A., White, J.A., Bhakta, T. , Mannseth, T. , Heggelund, Y., Midttømme, K.
New Developments Within Fiberoptic and Gravimetric Monitoring of Geological CO2 Storage.
ACT2 DigiMon Webinar

Lecture by: Wang, Y.
NorCPM development in sea ice forecasting.
Digital Arctic Shipping –New data products and visualisation services

Poster by: Lorentzen, R.J.
WP 3 Optimisation and data assimilation.
CSSR Kickoff

Lecture by: Wang, Y. , Counillon, F.S.
Recent developments of NorCPM in climate reanalysis.
International symposium in remembrance of Prof. Yongqi Gao

Lecture by: Luo, X. , Chalub Cruz, W.
Ensemble Reservoir Data Assimilation with Generic Constraints.
ECMOR 2022

Lecture by: Pacis, F.J.C., Alyaev, S. , Ambrus, A., Wiktorski, T.
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022

Lecture by: Cheraghi, Y., Alyaev, S. , Hong, A., Kuvaev, I., Clark, S., Zhuravlev, A., Bratvold, R.B.
What can we learn after 10,000 geosteering decisions?.
URTeC

Lecture by: Alyaev, S. , Ambrus, A., Jahani, N., Elsheikh, A.
Sequential MultiRealization Probabilistic Interpretation of Well Logs and Geological Prediction by a DeepLearning Method.
63d SPWLA Annual Symposium

Lecture by: Rammay, M.H., Alyaev, S.
Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error.
83rd EAGE Annual Conference & Exhibition

Lecture by: Ambrus, A., Alyaev, S. , Jahani, N., Pacis, F.J.C., Wiktorski, T.
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks.
ASME 41st International Conference on Ocean, Offshore and Arctic Engineering

Lecture by: Alyaev, S. , Ambrus, A., Jahani, N.
Demo: Sequential prediction with noisy GR log and naïve ROP prediction.
DigiWells technical meeting

Poster by: Raanes, P.N.
Ensemble linearizations in general.
EnKF workshop

Lecture by: Wang, Y. , Counillon, F.S. , Barthelemy, S.J., Barth, A.
Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate ocean model for climate reconstruction.
International EnKF workshop

Lecture by: Zhang, X., Xiao, H., Luo, X. , He, G.
Learning neural networkbased turbulence models with ensemble Kalman method.
Annual EnKF Workshop 2022

Lecture by: Luo, X. , Xia, C.
Continuous Hyperparameter OPtimization (CHOP) in an ensemble Kalman filter.
Annual EnKF Workshop 2022

Lecture by: Fransner, S.F.K., Årthun, M., Bethke, I., Counillon, F.S. , Samuelsen, A., Tjiputra, J., Olsen, A., Keenlyside, N.S.
Skillful Prediction of Barents Sea Phytoplankton Concentration.
EGU General Assembly 2022

Lecture by: Xie, J. , Bertino, L.
TOPAZ4b: a new version of the ocean and seaice Arctic reanalysis.
EGU General Assembly 2022

Lecture by: Lorentzen, R.J.
WP 3 Optimisation and data assimilation.
CSSR Partner Workshop

Lecture by: Evensen, G.
DataAssimilation Fundamentals: Using iterative methods to handle nonlinearity.
Seminar

Poster by: Wang, Y. , Counillon, F.S.
Coupled reanalysis of the climate back to 1850 (CoRea).
Workshop on Future US Earth System Reanalysis

Poster by: Wang, Y. , Counillon, F.S. , Barthelemy, S.J., Barth, A.
Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate model.
Workshop on Future US Earth System Reanalysis

Lecture by: Chalub Cruz, W., Luo, X. , Petvipusit, K.R.
Joint History Matching of Production, Tracer, and 4D Seismic Data in a 3D FieldScale Case Study.
SPE Norway Subsurface Conference

Lecture by: Lorentzen, R.J. , Oguntola, M.B.
Drainage optimization.
Energy Norway 2022

Lecture by: Fossum, K.
Multilevel EnsembleBased Data Assimilation for Subsurface Flow Problems.
SIAM Conference on Uncertainty Quantification (UQ22)

Lecture by: Nezhadali, M. , Bhakta, T. , Fossum, K. , Mannseth, T.
Accounting for Multilevel Modeling Error in Multilevel Data Assimilation.
SIAM Uncertainty Quantification 2022

Lecture by: Evensen, G.
DataAssimilation Fundamentals: Introduction and ensemble methods.
Foredrag

Poster by: Silva, E., Counillon, F.S. , Brajard, J. , Pettersson, L.h.
Skillful prediction of harmful algae blooms of Dinophysis spp. in northern Norway.
Arctic Science Summit Week 2022

Lecture by: Chalub Cruz, W., Luo, X. , Petvipusit, K.R.
Joint History Matching of Production and Tracer Data Through an Iterative Ensemble Smoother: A 3D FieldScale Case Study.
International Petroleum Technology Conference

Lecture by: Evensen, G.
The approximations made when deriving dataassimilation methods.
Data Assimilation – Mathematical Foundation and Applications
Total: 48