• Information-driven robotic sampling in the coastal ocean 

      Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir; mendes, renato; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2018-06-08)
      Efficient sampling of coastal ocean processes, especially mechanisms such as upwelling and internal waves and their influence on primary production, is critical for understanding our changing oceans. Coupling robotic ...
    • Statistical modeling for real time pore pressure prediction from pre-drill analysis and well logs 

      Paglia, Jacopo; Eidsvik, Jo; Grøver, Arnt; Lothe, Ane Elisabet (Peer reviewed; Journal article, 2018)
      The challenge of pore pressure prediction in an overpressured area near a well is studied. Predrill understanding of pore pressure is available from a 3D geologic model for pressure buildup and release using a basin modeling ...
    • Toward adaptive robotic sampling of phytoplankton in the coastal ocean 

      Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019-02-20)
      Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastal waters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ...
    • Toward adaptive robotic sampling of phytoplankton in the coastal ocean 

      Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019-02-13)
      Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastalwaters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ...