Blar i NORCE Energi og teknologi på tittel
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Geocellular rendering of cave surveys in paleokarst reservoir models
(Peer reviewed; Journal article, 2020)Infilled and collapsed cave systems are an important component of many paleokarst reservoirs. Incorporating these features into industrial reservoir models commonly relies on geostatistical modelling methods that often ... -
Geologi, jordsmonn og botaniske undersøkelser på Lisle Lyngøy (delrapport 1)
(Research report, 2023)Lisle Lyngøya ligger i nordspissen av Øygarden kommune, som geologisk sett er en del av den norske strandflaten. Strandflaten er karakterisert av nederodert lavland, og strekker seg langs hele norskekysten med unntak av ... -
Great expectations: Migrant parents and parent-school cooperation in Norway
(Peer reviewed; Journal article, 2020)One long-standing characteristic of schools in Norway is inclusive education as a primary goal. The last years, the Norwegian government has emphasised increased parent-school cooperation as a way to limit risks, i.e. of ... -
Guideline Societal Embeddedness Assessment
(DigiMon ACT2 (NORCE);D3.1, Research report, 2020)The Societal Embeddedness Level (SEL) is a novel methodology which provides insight in the societal requirements for a technological innovation to be deployed. It contributes to the realization of technological innovations ... -
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 ... -
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 ... -
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 ... -
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)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
(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
(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
(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
(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
(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 ...