Blar i NORCE vitenarkiv på forfatter "Nævdal, Geir"

Viser treff 1-7 av 7

    • 4D seismic history matching 

      Oliver, Dean; Fossum, Kristian; Bhakta, Tuhin; Sandø, Ivar; Nævdal, Geir; Lorentzen, Rolf Johan (Journal article; Peer reviewed, 2021)
      Reservoir simulation models are used to forecast future reservoir behavior and to optimally manage reservoir production. These models require specification of hundreds of thousands of parameters, some of which may be ...

    • A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model 

      Hodneland, Erlend; Hanson, Erik Andreas; Sævareid, Ove; Nævdal, Geir; Lundervold, Arvid; Solteszova, Veronika; Zanna, Antonella; Deistung, Andreas; Reichenbach, Jürgen; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2019)
      A large variety of severe medical conditions involve alterations in microvascular circulation. Hence, measurements or simulation of circulation and perfusion has considerable clinical value and can be used for diagnostics, ...

    • Homotopy scattering series for seismic forward modelling with variable density and velocity 

      Xiang, Kui; Eikrem, Kjersti Solberg; Jakobsen, Morten; Nævdal, Geir (Peer reviewed; Journal article, 2021)
      We have derived a convergent scattering series solution for the frequency-domain wave equation in acoustic media with variable density and velocity. The convergent scattering series solution is based on the homotopy analysis ...

    • Improving hydropower inflow forecasts by assimilating snow data 

      Magnusson, Jan; Nævdal, Geir; Matt, Felix; Burkhart, John F; Winstral, Adam (Journal article; Peer reviewed, 2020)
      The study describes the depositional development and sediment partitioning in a prograding paralic Triassic succession. The deposits are associated with the advance of large prism‐scale clinoforms across a shallower platform ...

    • Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments 

      Hanson, Erik Andreas; Hodneland, Erlend; Lorentzen, Rolf Johan; Nævdal, Geir; Nordbotten, Jan Martin; Sævareid, Ove; Zanna, Antonella (Peer reviewed; Journal article, 2019)
      Starting with the discovery of X-rays by Röntgen in 1895, the progress in medical imaging has been extraordinary and immensely beneficial to diagnosis and therapy. Parallel to the increase of imaging accuracy, there is the ...

    • Perfusion estimation using synthetic MRI-based measurements and a porous media flow model 

      Lorentzen, Rolf Johan; Nævdal, Geir; Sævareid, Ove; Hodneland, Erlend; Hanson, Erik Andreas; Munthe-Kaas, Antonella Zanna (Peer reviewed; Journal article, 2023)
      The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis ...

    • Quantifying Monte Carlo uncertainty in ensemble Kaiman filter 

      Thulin, Kristian; Nævdal, Geir (Research report, 2009)
      The ensemble Kaiman filter (EnKF) is currently considered one of the most promising methods for conditioning reservoir simulation models to production data. The EnKF is a sequential Monte Carlo method based on a low rank ...