Blar i NTNU Open på forfatter "Kjølaas, Jørn"

Viser treff 1-4 av 4

    • Closure Law Model Uncertainty Quantification 

      Strand, Andreas; Kjølaas, Jørn; Bergstrøm, Trond Harald; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)
      The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty ...

    • Experiments and modelling of near-horizontal bubbly flow 

      Kjølaas, Jørn; Gonzalez Rengifo, Diana Carolina; Johansen, Krister Flåten; Schümann, Heiner (Peer reviewed; Journal article, 2023)
      This work aims to establish a fast and robust mechanistic model framework for predicting phase fraction profiles in bubbly flows. The main motivation is that the associated closure laws can in the future be used as a basis ...

    • Modelling of dispersed oil/water flow in a near-horizontal pipe 

      Kjølaas, Jørn; Schümann, Heiner; Gonzalez Rengifo, Diana Carolina; Johansen, Stein Tore (Journal article; Peer reviewed, 2022)
      A gravity-diffusion model was implemented for predicting water concentration profiles in dispersed oil-continuous oil–water flows. In this model, the measured droplet size distributions were used instead of a droplet size ...

    • Pipe flow experiments of unstable oil-water dispersions with three different oil viscosities: Flow pattern, pressure drop and droplet size measurements 

      Gonzalez Rengifo, Diana Carolina; Schümann, Heiner; Kjølaas, Jørn (Peer reviewed; Journal article, 2022)
      The transport of oil-water dispersions in petroleum production pipelines is difficult to predict and requires special attention since it affects the performance of the entire system. For future field developments it is ...