Blar i Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi på tittel
Viser treff 38-57 av 221
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Computer Vision Based Path Following for Autonomous Unammed Aerial Systems in Unburied Pipeline Onshore Inspection
(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 ... -
Condition monitoring of hydraulic cylinder seals using acoustic emissions
(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 ... -
Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality
(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
(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 ... -
Constrained optimization of offshore wind turbine positions under uncertain wind conditions with correlated data
(Peer reviewed; Journal article, 2023)Offshore wind power production is subject to substantial uncertainty due to variability in wind conditions. Planning of new wind parks should take these uncertainties into account by means of stochastic modeling and ... -
Controlled Interactivity - lean-back media experiences based on lean-forward technologies
(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
(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
(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 ... -
Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations
(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
(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 ... -
Deep learning for graphs
(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
(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 ... -
Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning
(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 ... -
Diagnostics of seal and rod degradation in hydraulic cylinders using acoustic emissions
(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
(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 ... -
Digital Monitoring of Co2 Storage Projects (Digimon)
(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 ... -
Dimensional reduction of a fractured medium for a polymer EOR model
(Peer reviewed; Journal article, 2021)Dimensional reduction strategy is an effective approach to derive reliable conceptual models to describe flow in fractured porous media. The fracture aperture is several orders of magnitude smaller than the characteristic ... -
Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning
(Peer reviewed; Journal article, 2022)Geosteering of wells requires fast interpretation of geophysical logs which is a non-unique inverse problem. Current work presents a proof-of-concept approach to multi-modal probabilistic inversion of logs using a single ... -
A Discrete-Domain Approach to Three-Phase Hysteresis in Porous Media
(Peer reviewed; Journal article, 2021)We present a discrete-domain approach to three-phase displacements and hysteresis in porous media. In this method, constrained energy minimization leads to evolution equations for local saturations that describe a wide ...