Blar i NTNU Open på forfatter "Sandnes, Anders Thoresen"

Viser treff 1-3 av 3

    • Bayesian neural networks for virtual flow metering: An empirical study 

      Grimstad, Bjarne Andre; Hotvedt, Mathilde; Sandnes, Anders Thoresen; Kolbjørnsen, Odd; Imsland, Lars Struen (Peer reviewed; Journal article, 2021)
      Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as ...

    • Multi-task learning for virtual flow metering 

      Sandnes, Anders Thoresen; Grimstad, Bjarne Andre; Kolbjørnsen, Odd (Peer reviewed; Journal article, 2021)
      Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase flow rates in petroleum assets. Inferences about flow rates are fundamental to decision support systems that operators ...

    • Solving a Network Flow Decision Problem with Sampled Nonlinearities 

      Sandnes, Anders Thoresen (Master thesis, 2013)
      The tensor product B-spline is applied in global solution of approximated mixed integer nonlinear programs, exploiting the special structure of the B-spline to create convex relaxations in a Branch-and-Bound framework. The ...