• Assimilation of multiple linearly dependent data vectors 

      Mannseth, Trond (Peer reviewed; Journal article, 2019)
      Assimilation of a sequence of linearly dependent data vectors, {dl}Ll=1 such that dl=BldLL−1l=1 , is considered for a parameter estimation problem. Such a data sequence can occur, for example, in the context of multilevel ...
    • Attention integrated hierarchical networks for no-reference image quality assessment 

      You, Junyong; Korhonen, Jari (Peer reviewed; Journal article, 2022)
      Quality assessment of natural images is influenced by perceptual mechanisms, e.g., attention and contrast sensitivity, and quality perception can be generated in a hierarchical process. This paper proposes an architecture ...
    • Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine 

      Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Journal article; Peer reviewed, 2021)
      Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ...
    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...
    • Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 

      Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T (Peer reviewed; Journal article, 2022)
      Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ...
    • Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids 

      Cayeux, Eric (Peer reviewed; Journal article, 2022)
      Drilling fluids are subject to substantial variations in pressure and temperature while they are circulated in a well. These changes are so great that the mass density of the drilling fluid varies significantly during ...
    • Autonomous Decision-Making While Drilling 

      Cayeux, Eric; Daireaux, Benoit; Ambrus, Adrian; Mihai, Rodica G.; Carlsen, Liv (Journal article; Peer reviewed, 2021)
      The drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient ...
    • Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project 

      Camus, Lionel; Andrade, Hector; Aniceto, Ana Sofia; Aune, Magnus; Bandara, Kanchana; Basedow, Sünnje Linnéa; Christensen, Kai Håkon; Cook, Jeremy; Daase, Malin; Dunlop, Katherine Mary; Falk-Petersen, Stig; fietzek, Peter; Fonnes, Gro; Ghaffari, Peygham; Gramvik, Geir; Graves, Inger; Hayes, Daniel; Langeland, Tom; Lura, Harald; Marin, Trond Kristiansen; Nøst, Ole Anders; Peddie, David; Pederick, Joel; Pedersen, Geir; Sperrevik, Ann Kristin; Sørensen, Kai; Tassara, Luca; Tjøstheim, Sigurd; Tverberg, Vigdis; Dahle, Salve (Journal article; Peer reviewed, 2021)
      Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, ...
    • Autonomous unmanned aerial vehicles in search and rescue missions using real-time cooperative model predictive control 

      de Alcantara Andrade, Fabio Augusto; Hovenburg, Anthony Reinier; Netto de Lima, Luciano; Dahlin Rodin, Christopher; Johansen, Tor Arne; Storvold, Rune; Moraes Correia, Carlos Alberto; Barreto Haddad, Diego (Peer reviewed; Journal article, 2019)
      Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ...
    • 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 ...
    • Best practices for developing a human centered monitoring system for CO2 storage projects through a collaborative and interdisciplinary research approach 

      Sprenkeling, Marit; Otto, Danny; Nordø, Åsta Dyrnes; Karytas, Spyros; Mendrinos, Dimitrios; Polyzou, Olympia (DigiMon ACT2 (NORCE);D3.5, Research report, 2022)
      This deliverable was created in the context of the European ACT II project DigiMon and is part of work package 3 (designing a human-centered monitoring system), task 3.3 (evaluation of the research process and writing best ...
    • Cement properties characterization from a section retrieved from an oil production well after 33 years of downhole exposure 

      Beltran Jimenez, Katherine; Gardner, Dave; Kragset, Steinar; Gebremariam, Kidane Fanta; Reales, Oscar A. M.; Minde, Mona Wetrhus; Lourenco de Souza, Marcelo I.; Aasen, Jan Aage; Skadsem, Hans Joakim; Delabroy, Laurent (Peer reviewed; Journal article, 2021)
      A unique data set has been constructed based on the study of class G cement recovered from an oil well on the Norwegian continental shelf. The cement was placed between two casing sections and submitted to downhole conditions ...
    • Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health 

      Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Mukhiya, Suresh Kumar; Aminifar, Amin; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Kenter, Robin Maria Francisca; Hammar, Åsa Karin; Kahlon, Smiti; Nordby, Emilie; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Pham, Hoang Minh; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Lamo, Yngve (Peer reviewed; Journal article, 2021)
      Purpose Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...
    • CO2 Convection in Hydrocarbon Under Flowing Conditions 

      Mykkeltvedt, Trine Solberg; Gasda, Sarah Eileen; Sandve, Tor Harald (Peer reviewed; Journal article, 2021)
      Carbon-neutral oil production is one way to improve the sustainability of petroleum resources. The emissions from produced hydrocarbons can be offset by injecting capture CO2 from a nearby point source into a saline aquifer ...
    • CO2 Convective Dissolution in Oil-Saturated Unconsolidated Porous Media at Reservoir Conditions 

      Amarasinghe, Widuramina; Fjelde, Ingebret; Giske, Nils Harald; Guo, Ying (Peer reviewed; Journal article, 2021)
      During CO2 storage, CO2 plume mixes with the water and oil present at the reservoir, initiated by diffusion followed by a density gradient that leads to a convective flow. Studies are available where CO2 convective mixing ...
    • CO2 Dissolution and Convection in Oil at Realistic Reservoir Conditions: A Visualization Study. 

      Amarasinghe, Widuramina Sameendranath; Fjelde, Ingebret; Guo, Ying (Peer reviewed; Journal article, 2021)
      CO2 convective mixing has been extensively studied for CO2 dissolution in saline water but very limited with the presence of oil. The objective of this work was to visually study the supercritical CO2 (sCO2) dissolution ...
    • A combined finite element–finite volume framework for phase-field fracture 

      Sargado, Juan Michael Uy Villanueva; Keilegavlen, Eirik; Berre, Inga; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2021)
      Numerical simulations of brittle fracture using phase-field approaches often employ a discrete approximation framework that applies the same order of interpolation for the displacement and phase-field variables. In particular, ...
    • Combined Thickness and Permittivity Measurement of Thin Layers with Open-Ended Coaxial Probes 

      Folgerø, Kjetil; Haukalid, Kjetil; Kocbach, Jan; Peterson, Andreas Soto (Peer reviewed; Journal article, 2019)
      This paper presents a method to simultaneously determine the thickness and permittivity of thin layers from multi-frequency reflection coefficient measurements using an open-ended coaxial probe. This is achieved by exploiting ...
    • Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard 

      Błaszczyk, Małgorzata; Laska, Michał; Sivertsen, Agnar Holten; Jawak, Shridhar D. (Peer reviewed; Journal article, 2022)
      The Arctic is a region undergoing continuous and significant changes in land relief due to different glaciological, geomorphological and hydrogeological processes. To study those phenomena, digital elevation models (DEMs) ...
    • Combining direct and indirect sparse data for learning generalizable turbulence models 

      Zhang, Xin-Lei; Xiao, Heng; Luo, Xiaodong; He, Guowei (Peer reviewed; Journal article, 2023)
      Learning turbulence models from observation data is of significant interest in discovering a unified model for a broad range of practical flow applications. Either the direct observation of Reynolds stress or the indirect ...