Blar i NORCE vitenarkiv på forfatter "Mannseth, Trond"

Viser treff 1-6 av 6

    • Assimilation of multiple linearly dependent data vectors 

      Mannseth, Trond (Peer reviewed; Journal article, 2019)
      Assimilation of a sequence of linearly dependent data vectors, {dl}Ll=1 such that dl=BldLL−1l=1 , is considered for a parameter estimation problem. Such a data sequence can occur, for example, in the context of multilevel ...

    • Bayesian model evaluation for multiple scenarios 

      Aanonsen, Sigurd Ivar; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2023)
      Traditional uncertainty analysis for subsurface models is typically based on a single dynamic model with a number of uncertain parameters. Improved and more robust forecasting can be obtained by combining several models ...

    • Iterative multilevel assimilation of inverted seismic data 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2022)
      In ensemble-based data assimilation (DA), the ensemble size is usually limited to around one hundred. Straightforward application of ensemble-based DA can therefore result in significant Monte Carlo errors, often manifesting ...

    • Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Journal article; Peer reviewed, 2021)
      With large amounts of simultaneous data, like inverted seismic data in reservoir modeling, negative effects of Monte Carlo errors in straightforward ensemble-based data assimilation (DA) are enhanced, typically resulting ...

    • Project report and algorithms for integrated inversion of individual DigiMon data components 

      Bhakta, Tuhin; Mannseth, Trond; Lien, Martha; Paap, Bob; Vandeweijer, Vincent (DigiMon ACT2 (NORCE);D2.5, Research report, 2022)
      Different data types carry different information about the subsurface, so there should be advantages in combining information from different data types when seeking to infer subsurface properties such as changes in CO2 ...

    • WP2 final report 

      Paap, Bob; Candela, Thibault; Vandeweijer, Vincent; Mendrinos, Dimitris; Vladut, Gabriel; Thiem, Lukas; Landrø, Martin; Mellors, Mellors; Mannseth, Trond; Bhakta, Tuhin; Thomas, Peter James; Heggelund, Yngve; Stork, Anna; Lien, Martha; Fageraas, Bjarte; Løvheim, Leon; Åsgard, Kjetil; Koedel, Uta (ACT DigiMon (NORCE);D2.10, Research report, 2023)
      This document summarises the significant results in work package 2 of the DigiMon project. Detailed descriptions and results from each task can be found in the referenced deliverables and publications.