Blar i SINTEF Open på forfatter "Eidsvik, Jo"

Viser treff 1-6 av 6

    • Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten; Py, Frédéric; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)
      To get a better understanding of the highly nonlinear processes driving the ocean, efficient and informative sampling is critical. By combining robotic sampling with ocean models we are able to choose informative sampling ...

    • Assessing the value of seismic monitoring of CO2 storage using simulations and statistical analysis 

      Anyosa, Susan; Bunting, Scott William Christopher; Eidsvik, Jo; Romdhane, Mohamed Anouar; Bergmo, Per Eirik Strand (Peer reviewed; Journal article, 2021)
      Successful storage of CO2 in underground aquifers requires robust monitoring schemes for detecting potential leakage. To aid in this challenge we propose to use statistical approaches to gauge the value of seismic monitoring ...

    • Dynamic stochasticmodeling for adaptive sampling of environmental variables using an AUV 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten Omholt; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      Discharge of mine tailings significantly impacts the ecological status of the sea. Methods to efficiently monitor the extent of dispersion is essential to protect sensitive areas. By combining underwater robotic sampling ...

    • 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 ...