Blar i NTNU Open på forfatter "Hanssen, Kristian Gaustad"

Viser treff 1-6 av 6

    • Closed-loop predictions in reservoir management under uncertainty 

      Hanssen, Kristian Gaustad; Codas, Andrés; Foss, Bjarne Anton (Journal article; Peer reviewed, 2017)
      Uncertainty is a major challenge in reservoir management. To take the uncertainty into consideration, optimization can be carried out over a set of scenarios. Most approaches on reservoir management under uncertainty ...

    • A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems 

      Haring, Mark A. M.; Grøtli, Esten Ingar; Riemer-Sørensen, Signe; Seel, Katrine; Hanssen, Kristian Gaustad (Peer reviewed; Journal article, 2022)
      Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. ...

    • Model Based Optimisation of Pacing Strategy in Time Trial Cycling 

      Digre, Sigurd (Master thesis, 2023)
      Målet med prosjektet var å finne en optimal effektplan for gjennomføringen av en individuell tidsprøve. Effektplan, i denne sammenheng, er en detaljert instruks for effekt målt på en sykkel. Forfatteren modellerer de ...

    • On selection of controlled variables for robust reservoir management 

      Hanssen, Kristian Gaustad; Foss, Bjarne Anton (Journal article; Peer reviewed, 2016)

    • Optimal control under uncertainty - Applied to upstream petroleum production 

      Hanssen, Kristian Gaustad (Doctoral theses at NTNU;2017:28, Doctoral thesis, 2017)
      Optimal control has been applied successfully in a wide range of applications, especially within the process industries in the form of Model Predictive Control (MPC). By employing a dynamic model to predict the response ...

    • Optimization Algorithms for Short-Term Production Planning 

      Hanssen, Kristian Gaustad (Master thesis, 2009)
      In an oil and gas production system, where wells are connected to manifolds with multiple pipelines, a complex optimization problem arises. The objective will typically be to maximize the oil production, while respecting ...