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Oversikt over NRs prosjekter

Oversikt over NRs prosjekter

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Markov mesh models for patterns on multiple grids

When modeling oil- and gas-reservoirs one defines a 3D grid and fills this grid with sand and shale. The patterns formed by the porous and permeable sand and the impenetrable shale, determines the flow properties of the reservoir. It is necessary to take into account statistical uncertainty and study the flow properties from a probabilistic point of view. Markov mesh models constitute one methodology for doing this. The starting point is a 3D training image. The model analyses and stores information about the training image’s patterns and then simulations are done from this model.

Measuring used packaging in Norwegian companies

Materialretur is the system established by the business community in response to the authorities' requirement that used packaging is recovered and recycled. Their main task is to ensure that the business community participates in the financing of the recovery and recycling of used packaging.

Mesoscale weather extremes: Theory, spatial modelling and prediction (WEX-MOP)

High-impact extreme weather events, such as heavy rainfall and/or strong winds are very often associated with intensive atmospheric fronts with strong gradients or deep moist convection. These events are governed by mesoscale atmospheric dynamics, operating on horizontal scales ranging from a few to several hundred kilometers. In the WEX-MOP project, a team of atmospheric and mathematical scientists will join forces to work on theory, spatial statistical and dynamical modeling, and prediction for mesoscale weather extremes, to advance prognoses of severe weather events. The project will release developments towards a next-generation comprehensive mesoscale prediction system for extreme weather.

MobileSage – Situated Adaptive Guidance for the Mobile Elderly

This project targets elderly persons with or without impairments (motor, perception, cognition). The idea behind MobileSage is to provide the elderly with context-sensitive, personalized, and location-sensitive tools that allow them to carry out and solve everyday tasks and problems in the self-serve society when and where they occur, “just-in-time.”

Model for uncertainty analysis

The project partner for this project was Gassco, which is the operator of the transport system for natural gas from the Norwegian continental shelf to Europe .
 
Gassco develops an annual Transport Plan to ensure efficient utilisation  and development of the gas infrastructure. NR was involved in this process by developing a model for performing uncertainty analyses for both gas volume rates and gas quality. This model will be used by Gassco to analysis uncertainty related to future gas forecasts.
 

Model selection and model verification for point processes (PointProcess)

Many natural systems such as wildfires, disease occurrences, plant and cellular systems, and animal colonies are observed as point patterns in time, space or space and time. In this project, we will develop new methodology for validating and selecting the most appropriate model for a given data set using Bayesian and decision theoretic principles.

Modeling of resistance to antibiotics

Pills in a boxThe efficiency of antibiotics has over a long period led to overuse and misuse, causing the bacteria to develop resistance to one or more antibacterial agents. Infections and diseases that were successfully treated by antibiotics are now becoming an increasing public health problem. 

Modeling transmission of infectious diseases in aquaculture

Infectious diseases constitute a constant threat to the Norwegian fish farming industry with major economic implications, in addition to being a problem for fish welfare and the environment. Norwegian Computing Center develop stochastic simulation models to describe how infectious diseases are transmitted between fish farms, including models for infectious salmon anaemia, pancras disease and sea lice.

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Postadresse:
Norsk Regnesentral
Postboks 114 Blindern
0314 Oslo
Besøksadresse:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
0373 Oslo
Tlf:
(+47) 22 85 25 00
Adresse Hvordan komme til NR
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Postadresse: Norsk Regnesentral, Postboks 114 Blindern, 0314 Oslo
Besøksadresse: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, 0373 Oslo
Tlf: (+47) 22 85 25 00
AdresseHvordan komme til NR