• 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 ...