4SICE Permalink
To significantly enhance dynamical sea ice prediction skill on subseasonal-to-seasonal timescales
Projects
And associated publications ( )
NORCE AI-center proposal: DAI-2030 - Bridging Data Assimilation with AI!
NORCE AI center proposal
Remedy
In 2020, the petroleum activity on the Norwegian Continental Shelf (NCS) emitted an estimated 12.5 million tons of CO2 equivalents, and NCS 84.7% of the emissions originated from energy production using gas turbines. A substantial part of the energy use is ...
CSSR Permalink
The main ambitions for the centre are to provide the knowledge required for the Norwegian petroleum industry to transition to zero-emissions production.
EnSURE
Knowledge of the subsurface is critical to successful field development and reservoir management, including improved reservoir drainage and water management, reduced energy use, and better decision-making in general. A computer model of the reservoir allows...
Distinguish Permalink
Distinguish develops generative-neural-network geomodels that “learn geology”. They unlock next-generation data assimilation and new predictive decision-support AI. We will combine these technologies into the geosteering workflow of the future. It proposes ...
NCS-2030 Permalink
Energy-efficient, multi-purpose utilization of the subsurface into a “Sustainable Subsurface Value Chain” to reach the net-zero-emission goals
Bjerknes Climate Prediction Unit Permalink
Will European winters be milder, wetter, and more extreme in the coming years? Will conditions be beneficial for Norwegian fisheries and hydroelectric power?
CoRea Permalink
Producing a reliable three-dimensional coupled reanalysis from 1850 to the present for studies on the the ocean in the climate system its variability at decadal timescales.
DigiWells Permalink
SFI DigiWells is a center for research-based innovation funded by the Research Council of Norway and the industrial partners from 2020 to 2028. We are developing new knowledge that will help to drill and position wells in the optimal manner. Our main object...
3D GiG Permalink
3D GiG develops a workflow for automatic, real-time, around-wellbore 3D geological interpretation of LWD logs for optimal well placement decisions.
DIGIRES Permalink done
A Petromaks-2 with industry project that aims to develop the next-generation digital workflows for sub-surface field development and reservoir management.
4DSEIS Permalink done
Assimilating the from 4D seismic data and with accurate uncertainty. Collaborators: NORCE, Edinburgh Time-Lapse Project (ETLP), University of Bergen.
Blood flow estimation Permalink done
A novel approach for the interpretation of dynamic medical imaging with emphasis on blood distribution and flow