Hjem
Kristian Gundersens bilde

Kristian Gundersen

Forsker
  • E-postKristian.Gundersen@uib.no
  • Telefon+47 55 58 26 86
  • Besøksadresse
    Realfagbygget, Allégt. 41
  • Postadresse
    Postboks 7803
    5020 Bergen
Rapport
  • Omar, Abdirahman; Garcia-Ibanez, Maribel; Oleynik, Anna; Jeansson, Emil; Gundersen, Kristian; Avlesen, Helge; Esposito, Mario; Schaap, Allison; Loucaides, Socratis; Alendal, Guttorm. 2019. Underpinning data for monitoring activities (including current statistics and carbon tracer quantifications). .
Vitenskapelig foredrag
  • Gundersen, Kristian; Oleynik, Anna; Blaser, Nello; Alendal, Guttorm. 2019. Bayesian convolutional neural networks as a tool to detect discharges of pollutants to marine waters through time series classification.
  • Alendal, Guttorm; Oleynik, Anna; Blaser, Nello; Berntsen, Jarle; Gundersen, Kristian; Blackford, Jerry; Connelly, Douglas P.; Garcia-Ibanez, Maribel I; Omar, Abdirahman; Johannessen, Truls. 2018. The need for proper environmental statistics to design adequate monitoring for offshore geological storage of CO2 projects.
  • Gundersen, Kristian; Oleynik, Anna; Skaug, Hans J.; Avlesen, Helge; Berntsen, Jarle; Blaser, Nello; Blackford, Jeremy; Cazenave, Pierre. 2018. Machine Learning in CO2 leak detection.
  • Blackford, Jerry; Alendal, Guttorm; Artioli, Yuri; Avlesen, Helge; Cazenave, Pierre; Chen, Baixin; Dale, Andrew W.; Dewar, Marius; Garcia-Ibanez, Maribel I; Gros, Jonas; Gundersen, Kristian; Haeckel, Mattias; Kajepor, Sorush; Lessin, Gennadi; Oleynik, Anna; Omar, Abdirahman; Saleem, Umer. 2018. Ensuring efficient and robust offshore storage – the role of marine system modelling.
  • Gundersen, Kristian; Oleynik, Anna; Alendal, Guttorm; Skaug, Hans J.; Avlesen, Helge; Berntsen, Jarle; Blaser, Nello; Blackford, Jeremy; Cazenave, Pierre. 2018. Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring .
  • Alendal, Guttorm; Avlesen, Helge; Garcia-Ibanez, Maribel I; Gundersen, Kristian; Oleynik, Anna. 2018. Combining Environmental Statistics and Marine Process Modelling to Design Monitoring Programs for Offshore CO2 Storage.
Poster
  • Blackford, Jerry; Alendal, Guttorm; Artioli, Yuri; Avlesen, Helge; Cazenave, Pierre; Chen, Baixin; Dale, Andy; Dewar, Marius; Gundersen, Kristian; Haeckel, Matthias; Khajepor, Sorush; Lessin, Gennadi; Oleynik, Anna; Saleem, Umar. 2019. Ensuring efficient and robust carbon storage: marine modelling for environmental monitoring.
  • Gundersen, Kristian; Oleynik, Anna; Alendal, Guttorm; Berntsen, Jarle; Avlesen, Helge; Skaug, Hans J. 2018. Model Reduction for Tracer Transport and Applications.
  • Oleynik, Anna; Gundersen, Kristian; Alendal, Guttorm; Blaser, Nello; Skaug, Hans J.; Avlesen, Helge; Berntsen, Jarle; Blackford, Jeremy. 2018. Mathematical methods for detection and localization of CO2 leaks.
  • Alendal, Guttorm; Blackford, Jeremy; Chen, Baixin; Avlesen, Helge; Omar, Abdirahman; Berntsen, Jarle; Skaug, Hans J.; Frøysa, Håvard G; Gundersen, Kristian. 2017. Bayes’ theorem as the fundament to design monitoring programs.
  • Gundersen, Kristian; Alendal, Guttorm; Skaug, Hans J.; Avlesen, Helge; Blackford, Jeremy; Chen, Baixin; Dewar, Marius; Berntsen, Jarle. 2017. Assessment of machine learning methods as a tool in detecting leakages.
  • Gundersen, Kristian; Blaser, Nello; Alendal, Guttorm; Brun, Morten; Skaug, Hans J.; Avlesen, Helge; Berntsen, Jarle; Blackford, Jeremy. 2017. Assessment of Topological Data Analysis and Machine Learning Technologies as Tools for Seep Detection.

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