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.




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.

EnKF-analysis Permalink

Fortran-90 routines for EnKF analysis. Stochastic and SQRT formulations with subspace inversion.

EnKF-seir Permalink

Multi-group SEIR model with age classes in an ensemble DA system for predicting spread of the Coronavirus.

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.

Interactive Sequential-decision Geosteering Benchmark

The project allows to compare the decision skills of people and robots for a synthetic multi-target geosteering scenario. The code includes: Server, Client, and Ensemble-Based Decision Support System with uncertainties updated using the EnKF. The Benchmark ...

NEDAS Permalink

NEDAS is a light-weight Python solution for implementing ensemble data assimilation methods for geophysical models, it utilizes MPI for parallelization and has a modular function-based design that allows algorithmic flexibility. NEDAS is an ideal test envir...

PerfEst Permalink

Toolbox for simulating tissue blood circulation, and estimating the perfusion.


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.


Leveraging the latest conditional Generative Adversarial Networks (GANs) with spatially adaptive denormalization (SPADE), we establish a novel ensemble-based workflow that effectively captures complex geological patterns. The code performs Bayesian history-...



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.

4SICE Permalink

To significantly enhance dynamical sea ice prediction skill on subseasonal-to-seasonal timescales

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 done

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...

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 ...


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...

NCS-2030 Permalink

Energy-efficient, multi-purpose utilization of the subsurface into a “Sustainable Subsurface Value Chain” to reach the net-zero-emission goals


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 ...

4DSEIS Permalink done

Assimilating the from 4D seismic data and with accurate uncertainty. Collaborators: NORCE, Edinburgh Time-Lapse Project (ETLP), University of Bergen.