Browsing NORCE Energi og teknologi by Title

Now showing items 70-89 of 347

    • 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 ...

    • Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations 

      Xia, Chuan-An; Luo, Xiaodong; Hu, Bill X.; Riva, Monica; Guadagnini, Alberto (Peer reviewed; Journal article, 2021)
      We employ an approach based on the ensemble Kalman filter coupled with stochastic moment equations (MEs-EnKF) of groundwater flow to explore the dependence of conductivity estimates on the type of available information ...

    • Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother 

      Luo, Xiaodong; Chalub Cruz, William (Peer reviewed; Journal article, 2022)
      This work investigates an ensemble-based workflow to simultaneously handle generic, nonlinear equality and inequality constraints in reservoir data assimilation problems. The proposed workflow is built upon a recently ...

    • Data from lab-scale experiments of fibre optic vibration measurement 

      Thomas, Peter James; Heggelund, Yngve; Baap, Bob; Mellors, Robert; Pitarka, Arben; Matzel, Eric; Butcher, Anthony (ACT DigiMon (NORCE);D1.1, add. 4, Research report, 2022)
      Understanding the exact nature of the coupling of the optical fiber in response to seismic waves in a variety of settings is key to quantitative interpretation and modelling of seismic data recorded by Distributed Acoustic ...

    • Data Rate Performance of Mobile Multiuser MIMO Underwater Acoustic Communication Systems 

      Pottier, Antony; Bouvet, Pierre-Jean; Tomasi, Beatrice; Vanwynsberghe, Charles (Peer reviewed; Journal article, 2024)
      This article presents a study of the Multiuser Multiple-Input Multiple-Output (MU-MIMO) Method for the multiple access of multiuser mobile underwater acoustic communications. Orthogonal multiple access schemes, such as ...

    • Deep learning for graphs 

      Bacciu, Davide; Bianchi, Filippo Maria; Paassen, Benjamin; Alippi, Cesare (Chapter, 2018)
      Deep learning for graphs encompasses all those neural models endowed with multiple layers of computation operating on data represented as graphs. The most common building blocks of these models are graph encoding layers, ...

    • Defining acoustic emission-based condition monitoring indicators for monitoring piston rod seal and bearing wear in hydraulic cylinders 

      Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Schlanbusch, Rune (Peer reviewed; Journal article, 2021)
      Fluid leakage from hydraulic cylinders is a major concern for the offshore industries as it directly affects hydraulic cylinder energy efficiency and causes environmental contamination. There have been attempts made in ...

    • Design of a Flexible Weight Sensor Using Optical Fibre Macrobending 

      Funnell, Adam Christopher; Thomas, Peter James (Peer reviewed; Journal article, 2023)
      A flexible weight sensor based on optical fibre macrobending loss, using 1550 nm wavelength light and small fibre bending path lengths is presented. An applied load depresses an impactor layer of cylindrical protrusions ...

    • Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning 

      Eikeland, Odin Foldvik; Holmstrand, Inga Setså; Bakkejord, Sigurd; Chiesa, Matteo; Bianchi, Filippo Maria (Journal article; Peer reviewed, 2021)
      Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptions in the power distribution network. In ...

    • Detection of lameness and mastitis pathogens in milk using visual and olfactory sensing 

      Yuan, Boyan; Nørstebø, Håvard; Whist, Anne Cathrine; Belbachir, Nabil (Research report, 2020)
      The objective of this project is to investigate feasibility of visual combined with olfactory sensing and multimodal collaborative intelligence for the perception of diseases, especially the contagious ones, among a ...

    • Diagnostics of seal and rod degradation in hydraulic cylinders using acoustic emissions 

      Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Schlanbusch, Rune (Peer reviewed; Journal article, 2020)
      External leakage from hydraulic cylinders is of a major concern for the offshore oil and gas industry. This occurs mainly as a result of physical damage to the piston rod or due to degradation of the piston rod seals. ...

    • Differences in Direct Geothermal Energy Utilization for Heating and Cooling in Central and Northern European Countries 

      Nordgård-Hansen, Ellen Marie; Fjellså, Ingvild Firman; Medgyes, Tamás; Guðmundsdóttir, María; Pétursson, Baldur; Miecznik, Maciej; Pająk, Leszek; Halás, Oto; Leknes, Einar; Midttømme, Kirsti (Peer reviewed; Journal article, 2023)
      Geothermal energy has emerged as an alternative heating source that can replace fossil energy. This mature technology is already in use all over Europe, but there are significant differences in its use between European ...

    • DigiMon Final Report 

      Nøttveit, Arvid; Midttømme, Kirsti; Stork, Anna; Lien, Martha; Puts, Hanneke (ACT DigiMon (NORCE);D4.9, Research report, 2023)
      "DigiMon Final Report” summarizes the ACT DigiMon project. The overall objective of the DigiMon project was to “accelerate the implementation of CCS by developing and demonstrating an affordable, flexible, societally ...

    • Digital Monitoring of Co2 Storage Projects (Digimon) 

      Nøttvedt, Arvid; Midttømme, Kirsti; Lien, Martha; Puts, Hanneke; Stork, Anne (Journal article, 2021)
      With an overall objective to “accelerate the implementation of CCS by developing and demonstrating an affordable, flexible, societally embedded and smart Digital Monitoring early-warning system”, the DigiMon project aims ...