Blar i NORCE Energi og teknologi på tittel

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    • Harmony Phase 0/A 

      Johnsen, Harald (Research report, 2019)
      This technical note provides some general considerations on the geophysical requirements of the Harmony L2 Ocean products and their implications to the mission requirements. Section 2 gives an overview of the geophysical ...

    • Health Indicator for Low-speed Axial Bearings using Variational Autoencoders 

      Hemmer, Martin; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge (Peer reviewed; Journal article, 2020)
      This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using ...

    • Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling 

      Bianchi, Filippo Maria; Grattarola, Daniele; Livi, Lorenzo; Alippi, Cesare (Peer reviewed; Journal article, 2020)
      Abstract—In graph neural networks (GNNs), pooling operators compute local summaries of input graphs to capture their global properties, and they are fundamental for building deep GNNs that learn hierarchical representations. ...

    • Homotopy scattering series for seismic forward modelling with variable density and velocity 

      Xiang, Kui; Eikrem, Kjersti Solberg; Jakobsen, Morten; Nævdal, Geir (Peer reviewed; Journal article, 2021)
      We have derived a convergent scattering series solution for the frequency-domain wave equation in acoustic media with variable density and velocity. The convergent scattering series solution is based on the homotopy analysis ...

    • Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models 

      Oliver, Dean (Peer reviewed; Journal article, 2022)
      The choice of a prior model can have a large impact on the ability to assimilate data. In standard applications of ensemble-based data assimilation, all realizations in the initial ensemble are generated from the same ...

    • HYDROGEN POWERED VESSELS AT SEA:FUEL CELL & BATTERY UPSCALING 

      Helleland, Christer; Iversen, Fionn; Halstensen, Svein Olav (Chapter, 2022)
      There is today a strong effort in developing fuel cell / battery systems for ship propulsion to achieve zero-emission maritime transport, in accordance with UN sustainability goals and the Fit For 55 plan to achieve the ...

    • Imbibition with solidification in alumina feeding 

      Kovacs, Atitla; Breward, Chris; Oliver, James; Münch, Andreas; Halvorsen, Svenn Anton; Nordgård-Hansen, Ellen; Manger, Eirik (Lecture, 2019)

    • Impact of time-dependent wettability alteration on the dynamics of capillary pressure 

      Kassa, Abay; Gasda, Sarah; Kumar, Kundan; Radu, Florin Adrian (Peer reviewed; Journal article, 2020)
      Wettability is a pore-scale property that has an important impact on capillarity, residual trapping, and hysteresis in porous media systems. In many applications, the wettability of the rock surface is assumed to be constant ...

    • Implicit linearization scheme for nonstandard two-phase flow in porous media 

      Kassa, Abay; Kumar, Kundan; Gasda, Sarah; Radu, Florin Adrian (Peer reviewed; Journal article, 2020)
      In this article, we consider a nonlocal (in time) two‐phase flow model. The nonlocality is introduced through the wettability alteration induced dynamic capillary pressure function. We present a monotone fixed‐point iterative ...

    • Improved algorithms to acquire and process gravity and deformation data 

      Fageraas, Bjarte; Lien, Martha; Ruiz, Hugo (DigiMon ACT2 (NORCE);D1.9, Research report, 2021)
      The work presented in this deliverable is part of the efforts to meet the following sub-objectives of the DigiMon project: • Prepare for integration of DigiMon system by developing and lifting individual components of the ...

    • Improving hydropower inflow forecasts by assimilating snow data 

      Magnusson, Jan; Nævdal, Geir; Matt, Felix; Burkhart, John F; Winstral, Adam (Journal article; Peer reviewed, 2020)
      The study describes the depositional development and sediment partitioning in a prograding paralic Triassic succession. The deposits are associated with the advance of large prism‐scale clinoforms across a shallower platform ...

    • Improving Sequential Decisions – Efficiently Accounting for Future Learning 

      Wang, Lingya; Oliver, Dean (Peer reviewed; Journal article, 2021)
      In sequential field development planning, past decisions not only directly affect the maximum achievable expected NPV but also influence the future information that can be used to reduce geological uncertainty. To act ...

    • InSAR Svalbard – User requirements, technical considerations, and product development plan 

      Rouyet, Line; Bredal, Marie Bergvik; Lauknes, Tom Rune; Dehls, John F.; Larsen, Yngvar; van Oostveen, Jelte Geert; Hindberg, Heidi; Wendt, Lotte (Research report, 2024)
      The InSAR Svalbard development project (2023–2025) is a partnership between the Geological Survey of Norway (NGU) and NORCE Norwegian Research Centre AS, with funding from the Norwegian Space Agency (Post 74, contract ...

    • Integrated Stress Field Estimation and Implications for Enhanced Geothermal System Development in Acoculco, Mexico 

      Kruszewski, Michal; Hofmann, Hannes; Alvarez, Fidel Gomez; Bianco, Caterina; Haro, Adrian Jimenez; Garduño, Victor Hugo; Liotta, Domenico; Trumpy, Eugenio; Brogi, Andrea; Wheeler, Walter H; Bastesen, Eivind; Parisio, Francesco; Saenger, Erik H. (Journal article; Peer reviewed, 2021)
      Data gathered from two geothermal exploration wells in the Acoculco caldera, within the Trans-Mexican Volcanic Belt, indicated that temperature is high enough for economic utilization, but permeability is insufficient. ...

    • An interactive sequential-decision benchmark from geosteering 

      Alyaev, Sergey; Ivanova, Sofija; Holsaeter, Andrew Martin; Bratvold, Reidar Brumer; Bendiksen, Morten (Peer reviewed; Journal article, 2021)
      During drilling, to maximize future expected production of hydrocarbon resources, the experts commonly adjust the trajectory (geosteer) in response to new insights obtained through real-time measurements. Geosteering ...

    • Intrusive generalized polynomial chaos with asynchronous time integration for the solution of the unsteady Navier–Stokes equations 

      Bonnaire, Philip; Pettersson, Per; Silva, Camilo F. (Journal article; Peer reviewed, 2021)
      Generalized polynomial chaos provides a reliable framework for many problems of uncertainty quantification in computational fluid dynamics. However, it fails for long-time integration of unsteady problems with stochastic ...

    • Investigating the implementation of the safety-diagnosability principle to support defence-in-depth in the nuclear industry: A Fukushima Daiichi accident case study 

      Bansal, Surbhi; Selvik, Jon Tømmerås (Peer reviewed; Journal article, 2021)
      ‘Defence in depth’ (DID) is a fundamental safety principle applied in several industries, including nuclear. The key is to protect safety critical systems by employing multiple layers of protection, i.e. barriers. The ...

    • Iterative multilevel assimilation of inverted seismic data 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2022)
      In ensemble-based data assimilation (DA), the ensemble size is usually limited to around one hundred. Straightforward application of ensemble-based DA can therefore result in significant Monte Carlo errors, often manifesting ...

    • Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study 

      Chalub Cruz, William; Luo, Xiaodong; Petvipusit, Kurt Rachares (Peer reviewed; Journal article, 2022)
      This work presents an ensemble-based workflow to simultaneously assimilate multiple types of field data in a proper and consistent manner. The aim of using multiple field datasets is to improve the reliability of estimated ...

    • Koherensprodukt fra Sentinel-1 

      Anfinsen, Stian Normann (Research report, 2022)
      Koherens er en parameter beregna fra målinger av syntetisk aperturradar (SAR), som kan ha stor nytteverdi i analyse av SAR-bilder. Den brukes her til klassifisering og kartlegging av landområder, måldeteksjon og endringsdeteksjon ...