Blar i NORCE Energi og teknologi på tittel
Viser treff 145-164 av 347
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Harmony Phase 0/A
(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
(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 ... -
Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition
(Peer reviewed; Journal article, 2023)The Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition took place between October 2019 and September 2020 giving the rare opportunity to monitor sea-ice properties over a full annual ... -
Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments
(Peer reviewed; Journal article, 2024)This research presents a cooperation strategy for a heterogeneous group of robots that comprises two Unmanned Aerial Vehicles (UAVs) and one Unmanned Ground Vehicles (UGVs) to perform tasks in dynamic scenarios. This paper ... -
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
(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
(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
(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
(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 ... -
Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard-Comparison With a Ground-Based Radar
(Peer reviewed; Journal article, 2024)Satellite monitoring of icebergs in the Arctic region is paramount for the safety of shipping and maritime activities. The potential of polarimetric synthetic aperture radar data in enhancing detection capabilities of ... -
Imbibition with solidification in alumina feeding
(Lecture, 2019) -
Impact of time-dependent wettability alteration on the dynamics of capillary pressure
(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
(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 ... -
Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation
(Peer reviewed; Journal article, 2024)Because it is generally impossible to completely characterize the uncertainty in com- plex model variables after assimilation of data, it is common to approximate the uncertainty by sampling from approximations of the ... -
Improved algorithms to acquire and process gravity and deformation data
(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
(Journal article; Peer reviewed, 2020)Accurate long-term inflow forecasts are essential for optimal planning of hydropower production. In snow-rich regions, where spring snowmelt is often the largest reservoir of water, inflow forecasts may be improved by ... -
Improving predictive models for rate of penetration in real drilling operations through transfer learning
(Peer reviewed; Journal article, 2023)The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission reductions. A prerequisite for a drilling optimization algorithm is ... -
Improving Sequential Decisions – Efficiently Accounting for Future Learning
(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 ... -
Induced Currents in the Lining and Steel Shell of Submerged Arc Furnaces
(Peer reviewed; Journal article, 2023)Numerical models in 2D and 3D are used to study induced currents in the lining and steel shell of large three-phase submerged arc furnaces. The alternating currents supplied through the electrodes cause a significant amount ... -
Information content in 4D seismic data: Effect of correlated noise
(Peer reviewed; Journal article, 2021)Several types of data used in history matching for subsurface reservoir characterization have errors that are spatially or temporally correlated. Although it is often assumed that correlated observation errors decrease ... -
InSAR Svalbard – User requirements, technical considerations, and product development plan
(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 ...