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New book: Ensemble History Matching: Conditioning Reservoir Models on Dynamic Data

Formulates the history-matching problem in a consistent framework. Presents state-of-the-art ensemble solution methods for reservoir models. Aims to deepen understanding of ensemble methods in history matching. Educational resource for graduate stu... . Invitees: Ian Grooms, Marc Bocquet, Jeffrey Anderson, Kjetil Bjørke

New book: Ensemble data assimilation applied to geological reservoir models

Ensemble Data Assimilation Applied to Geological Reservoir Models offers an in-depth examination of ensemble-based data assimilation methods for numerical modeling of geological reservoirs. Grounded in a Bayesian framework, the book emphasizes the integrati... . Invitees: Ian Grooms, Marc Bocquet, Jeffrey Anderson, Kjetil Bjørke

Noise informed covariance estimation

16:00 online and NORCE 3rd floor conference room. Talk by Matthias Morzfeld of Scripps (UCSD). . Invitees: Alban Farchi, Tijana Janjic, Chris Snyder, Julien Brajard, Berent Å. S. Lunde

Graph informed linear-triangular transport

14:00 at NERSC Copernicus lecture room. Talk by Berent Lunde (Equinor). . Invitees: Alban Farchi, Tijana Janjic, Chris Snyder, Julien Brajard, Berent Å. S. Lunde

Ensemble optimisation in Jupyter

14:00 at NERSC Copernicus lecture room. Talk by Patrick N. Raanes (NORCE). . Invitees: Ricardo Baptista, Feda Curic, Geir Evensen, Xiao-Hui Wu

ISDA conference 2023 Permalink

International Symposium on Data Assimilation, Bologna (Italy) October 16-20. . Invitees: Ricardo Baptista, Feda Curic, Geir Evensen, Xiao-Hui Wu

Multiscale Model Diagnostic

2pm in Nansen (Copernicus meeting room). Talk by Trond Mannseth (NORCE). . Invitees: Ricardo Baptista, Feda Curic, Geir Evensen, Xiao-Hui Wu

Correlation-Based Localization

2pm at NERSC (Copernicus). Talk by Geir Evensen (NORCE). . Invitees: Ricardo Baptista, Feda Curic, Geir Evensen, Xiao-Hui Wu

Frameworks for parameter estimation with NorCPM

November 3, 2 PM at Nansen (Copernicus, 1st floor). Talk by Tarkeshwar Singh (NERSC). . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

Super-resolution data assimilation

2pm at Nansen (Copernicus, 1st floor). Talk by Sébastien Barthélémy (UiB) . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

Ensemble DA with generic constraints

2pm at NORCE (floor 3). Talk by Xiaodong Luo (NORCE) . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

Hybrid data assimilation

3pm at NORCE (building F, floor 4, end of hallway). Talk by Dean Oliver (NORCE). . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

Graduate course at UiB, 2022: MAT330 Permalink

University Course for BSc, MSc and PhD students Department of Mathematics – University of Bergen . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

New book: Data Assimilation Fundamentals

A Unified Formulation of the State and Parameter Estimation Problem . Invitees: Berent Å. S. Lunde, Femke Vossepoel, Matthew Levine, Yue (Michael) Ying, Yuqing Chang

14th international EnKF workshop (2019)

Voss, June 3 - 5 . Invitees: Pieter Houtekamer, Stephen G. Penny, Alexandre Emerick, Takemasa Miyoshi, Tijana Janjic Pfander, Patrick Nima Raanes, Jincong He, Remus Hanea

products

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

PET is a toolbox for ensemble based Data-Assimilation and Optimization, developed and maintained by the data-assimilation and optimization group at NORCE Norwegian Research Centre AS.

spade-gan-inversion

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-...

project_pubs

projects

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 done

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 ...

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...

NCS-2030 Permalink

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

RamonCO

Risk-based framework for assessing CO2 storage monitoring

Remedy done

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.

SURF

The object of the SURF project is to develop efficient history-matching methods for an improved understanding of the properties of the subsurface reservoirs. Improvements in subsurface understanding are critical for efficient reduction in energy usage, redu...