3D geological interpretation for geosteering of wells
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Decision support using neural networks to predict geological uncertainties when geosteering
Towards a geosteering workflow of the future
Durra Handri Saputera
Felix, Luis, Ressi and Pauline are our first PhD students in the DigiWells centre.
New SFI Announced
Geosteering for IOR is up and running.
To significantly enhance dynamical sea ice prediction skill on subseasonal-to-seasonal timescales
Will European winters be milder, wetter, and more extreme in the coming years? Will conditions be beneficial for Norwegian fisheries and hydroelectric power?
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.
The main ambitions for the centre are to provide the knowledge required for the Norwegian petroleum industry to transition to zero-emissions production.
A Petromaks-2 with industry project that aims to develop the next-generation digital workflows for sub-surface field development and reservoir management.
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...
Assimilating the from 4D seismic data and with accurate uncertainty. Collaborators: NORCE, Edinburgh Time-Lapse Project (ETLP), University of Bergen.
Introduction to data assimilation and the EnKF. Interactive tutorials, including, theory, code, and exercises. Runnable right in the cloud (no installation). Duration ≈ 10 hours.
DAPPER is a set of templates for benchmarking the performance of data assimilation (DA) methods. The tests provide experimental support and guidance for new developments in DA.
Introduction to history matching with ensemble methods (ES, IES and more). Interactive tutorials, also including theory and code. Runnable right in the cloud (no installation). Duration ≈ 3 hours.
Improving decisions under uncertainty.
PET is a toolbox for ensemble based Data-Assimilation developed and maintained by the data-assimilation and optimization group at NORCE Norwegian Research Centre AS.
The Arctic Monitoring and Forecasting Center as part of the Copernicus Marine Services.