Blar i NORCE vitenarkiv på forfatter "Fossum, Kristian"

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 ...

    • 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 ...

    • Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering 

      Jahani, Nazanin; Ambia Garrido, Joaquin; Alyaev, Sergey; Fossum, Kristian; Suter, Erich Christian; Torres-Verdin, Carlos (Peer reviewed; Journal article, 2022)
      Hydrocarbon reservoirs are often located in spatially complex and uncertain geologic environments, where the associated costs of drilling wells for exploration and development are notoriously high. These costs may be reduced ...

    • 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 ...

    • Marginalized iterative ensemble smoothers for data assimilation 

      Stordal, Andreas Størksen; Lorentzen, Rolf Johan; Fossum, Kristian (Journal article; Peer reviewed, 2023)
      Data assimilation is an important tool in many geophysical applications. One of many key elements of data assimilation algorithms is the measurement error that determines the weighting of the data in the cost function to ...

    • 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 ...

    • Verification of a real-time ensemble-based method for updating earth model based on GAN 

      Fossum, Kristian; Alyaev, Sergey; Tveranger, Jan; Elsheikh, Ahmed H. (Peer reviewed; Journal article, 2022)
      The complexity of geomodelling workflows is a limiting factor for quantifying and updating uncertainty in real-time during drilling. We propose Generative Adversarial Networks (GANs) for parametrization and generation of ...