3D GiG
3D geological interpretation for geosteering of wells
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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DISTINGUISH
Decision support using neural networks to predict geological uncertainties when geosteering
NORCE's initiatives for geosteering research
Towards a geosteering workflow of the future
Posts
Meet Durra Handri Saputera
Durra Handri Saputera
Meet Ressi Bonti Muhammad
Felix, Luis, Ressi and Pauline are our first PhD students in the DigiWells centre.
DigiWells awarded funding as SFI - Center for Research-based Innovation
New SFI Announced
Geosteering for IOR: A Competence-Building for Industry
Geosteering for IOR is up and running.
projects
4SICE Permalink
To significantly enhance dynamical sea ice prediction skill on subseasonal-to-seasonal timescales
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.
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.
DIGIRES Permalink
A Petromaks-2 with industry project that aims to develop the next-generation digital workflows for sub-surface field development and reservoir management.
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...
4DSEIS Permalink
Assimilating the from 4D seismic data and with accurate uncertainty. Collaborators: NORCE, Edinburgh Time-Lapse Project (ETLP), University of Bergen.
resources
Tutorials on Data Assimilation Permalink
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 Permalink
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.
History Matching Permalink
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.
Robust optimisation
Improving decisions under uncertainty.
PET
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.
TOPAZ Arctic Ocean forecasts
The Arctic Monitoring and Forecasting Center as part of the Copernicus Marine Services.