Blar i NORCE Energi og teknologi på tittel

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    • Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications 

      Correia, Carlos A. M.; Andrade, Fabio Augusto de Alcantara; Sivertsen, Agnar Holten; Guedes, Ihannah Pinto; Pinto, Milena Faria; Manhães, Aline Gesualdi; Haddad, Diego Barreto (Peer reviewed; Journal article, 2022)
      Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is ...

    • Computer Vision Based Path Following for Autonomous Unammed Aerial Systems in Unburied Pipeline Onshore Inspection 

      da Silva, Yago M. R.; Andrade, Fabio Augusto de Alcantara; Sousa, Lucas; de Castro, Gabriel G. R.; Dias, João T.; Berger, Guido; Lima, José; Pinto, Milena F. (Peer reviewed; Journal article, 2022)
      Unmanned Aerial Systems (UAS) are becoming more attractive in diverse applications due to their efficiency in performing tasks with a reduced time execution, covering a larger area, and lowering human risks at harmful ...

    • Concept description for the use of fibre-optic measurements for seismic tomography 

      Thomas, Peter James; Heggelund, Yngve; Koedel, Uta; Fechner, Thomas; Butcher, Antony (ACT DigiMon (NORCE);D2.2, Research report, 2021)
      High resolution mapping of CO2 plumes in the geological storage formations can be obtained using cross well seismic experiments designed to characterise velocity changes in the subsurface, see figure 1. High resolution ...

    • Condition monitoring and maintenance for fibre rope moorings in offshore wind 

      Nordgård-Hansen, Ellen Marie; Schlanbusch, Rune (Research report, 2023)
      The FIRM project aims to develop innovative mooring systems for floating wind farms based on fibre ropes, including new and more efficient methods for installation, condition monitoring, maintenance, and decommissioning. ...

    • Condition monitoring of hydraulic cylinder seals using acoustic emissions 

      Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Schlanbusch, Rune; Caspers, Leo (Peer reviewed; Journal article, 2020)
      In recent years, there has been a growing concern for fluid spill from hydraulic cylinders in the offshore oil and gas industry. To diagnose the leakage from hydraulic cylinders, there have been attempts made in literature ...

    • Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches 

      Noori, Nadia Saad; Waag, Tor Inge; Bianchi, Filippo Maria (Lecture, 2020)

    • Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality 

      Cayeux, Eric; Damski, Carlos; Macpherson, John D.; Laing, Moray; Annaiyappa, Pradeep; Harbidge, Philip; Edwards, Michael G.; Carney, Jonathan (Peer reviewed; Journal article, 2022)
      Drilling oil and gas wells is a complex process involving many disciplines and stakeholders. This process occurs in a context where some pieces of information are unknown, or are often incomplete, erroneous, or at least ...

    • Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B 

      Johansson, Malin; Malnes, Eirik; Gerland, Sebastian; Cristea, Anca; Doulgeris, Anthony Paul; Divine, Dmitry V; Pavlova, Olga; Lauknes, Tom Rune (Peer reviewed; Journal article, 2019)
      Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ...

    • Controlled Interactivity - lean-back media experiences based on lean-forward technologies 

      Arntzen, Ingar Mæhlum (Lecture, 2023)
      Interactive rendering technologies like maps, timelines, and plots can be powerful tools for data visualization and exploration. In the context of media, such tools are often referred to as lean-forward, implying that the ...

    • Convective Mixing Driven by Non-monotonic Density 

      Elenius, Maria; Gasda, Sarah Eileen (Peer reviewed; Journal article, 2021)
      CO2 injection for enhanced oil recovery (CO2-EOR) or for storage in depleted oil and gas reservoirs can be a means for disposing of anthropogenic CO2 emissions to mitigate climate change. Fluid flow and mixing of CO2 and ...

    • The COTUR project: remote sensing of offshore turbulence for wind energy application 

      Cheynet, Etienne; Flügge, Martin; Reuder, Joachim; Jakobsen, Jasna Bogunovic; Heggelund, Yngve; Svardal, Benny; Saavedra Garfias, Pablo Andres; Obhrai, Charlotte; Daniotti, Nicolo; Berge, Jarle; Duscha, Christiane Anabell; Wildmann, Norman; Onarheim, Ingrid Husøy; Godvik, Marte (Peer reviewed; Journal article, 2021)
      The paper presents the measurement strategy and data set collected during the COTUR (COherence of TURbulence with lidars) campaign. This field experiment took place from February 2019 to April 2020 on the southwestern coast ...

    • Critical technology elements (WP1) 

      Stork, Anna; Butcher, Antony; Zhou, Wen; Lapins, Sacha; Kendall, J-Michael; Hudson, Thomas; Paap, Bob; Boullenger, Boris; Vandeweijer, Vincent; Lien, Martha; Fageraas, Bjarte; Thomas, Peter; Ködel, Uta; Fechner, Thomas; Thiem, Lukas; Landrø, Martin; Bond, Tiziana; Mendrinos, Dimitrios (DigiMon ACT2 (NORCE);D1.13, Research report, 2022)
      The overall objective of the DigiMon project is to “accelerate the implementation of CCS by developing and demonstrating an affordable, flexible, societally embedded and smart Digital Monitoring early warning system”, for ...

    • Cross hole seismic experiment with DAS/DTS data. Svelvik CO2 field lab 

      Thomas, Peter James; Stork, Anna; Fechner, Thomas; Koedel, Uta; Butcher, Anthony (ACT DigiMon (NORCE);D1.1 add. 3, Research report, 2021)
      Primary purposes of the fieldwork at Svelvik include the provision of datasets which supports task 1.2 ‘determining the DAS transfer function’ and task 1.3 ‘develop DAS data processing techniques and workflow’. The fieldwork ...

    • DAS dataset suitable for microseismic and ANI analysis 

      Paap, Bob; Mellors, Rob; Stork, Anna; Butcher, Antony; Kendall, Mike (ACT DigiMon (NORCE);D1.2, Research report, 2020)
      Deliverable 1.2 concerns a DAS dataset suitable for microseismic and ambient noise interferometry (ANI). For this deliverable the DAS field dataset of FORGE is recommended. FORGE is the Frontier Organization For Research ...

    • DAS field dataset to compare technologies and deployment scenarios 

      Butcher, Antony; Vandeweijer, Vincent; Kendall, Mike; Zhou, W; Stork, Anna (ACT DigiMon (NORCE);D1.1., add. 2, Research report, 2021)
      This report describes a Distributed Acoustic Sensor (DAS) dataset acquired by DigiMon partners at the Containment and Monitoring Institute’s (CaMI) Field Research Station (FRS), Canada, between 6th to 10th September 2021. ...

    • DAS field dataset to compare technologies and deployment scenarios – Antarctica Dataset 

      Kendall, Mike; Kufner, S; Brisbourne, A; Butcher, Antony (ACT DigiMon (NORCE);D1.1, add.. 1, Research report, 2020)
      This report describes a Distributed Acoustic Sensing (DAS) dataset acquired by the British Antarctic Survey (BAS) and the University of Oxford in Antarctic during 2020. The field dataset contributes to the Deliverable D1.1 ...

    • DAS Preprocessing Workflow 

      Butcher, Antony; Hudson, Tom; Baird, Alan; Mellors, Rob (ACT DigiMon (NORCE);D1.4, Research report, 2020)
      This report addresses deliverable D1.4 of the DigiMon project, which covers the preprocessing workflow for datasets acquired by Distributed Acoustic Systems (DAS). The workflow seeks to capture the key stages required to ...

    • DAS Processing Algorithms 

      Butcher, Antony; Hudson, Tom; Zhou, Wen; Lapin, Sacha; Kendall, J-Michael; Baird, Alan (ACT DigiMon (NORCE);D1.5, Research report, 2021)
      This report addresses deliverable D1.5 of the DigiMon project, which covers processing algorithms for Distributed Acoustic Systems (DAS) datasets that are contained within a python library called DASpy. The objective of ...

    • DAS Processing Workflow 

      Butcher, Antony; Zhou, Wen; Baird, Alan; Boullenger, Boris; Paap, Bob; Vandeweijer, Vincent; Hudson, Tom; Kendall, J-Michael; Stork, Anna (ACT DigiMon (NORCE);D1.6, Research report, 2021)

    • DAS synthetic dataset 

      Baird, Alan; Mellors, Rob; Paap, Bob; Vandeweijer, Vincent; Verdel, Arie; Butcher, Antony; Stork, Anna (ACT DigiMon (NORCE);D1.3, Research report, 2020)
      Deliverable D1.3 of the ACT DigiMon project is a synthetic microseismic distributed acoustic sensins (DAS) dataset. There are a number of possible uses for such a dataset; for example supporting the development and testing ...