Browsing Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi by Title
Now showing items 32-51 of 221
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CO2 Dissolution and Convection in Oil at Realistic Reservoir Conditions: A Visualization Study.
(Peer reviewed; Journal article, 2021)CO2 convective mixing has been extensively studied for CO2 dissolution in saline water but very limited with the presence of oil. The objective of this work was to visually study the supercritical CO2 (sCO2) dissolution ... -
A combined finite element–finite volume framework for phase-field fracture
(Peer reviewed; Journal article, 2021)Numerical simulations of brittle fracture using phase-field approaches often employ a discrete approximation framework that applies the same order of interpolation for the displacement and phase-field variables. In particular, ... -
Combined Thickness and Permittivity Measurement of Thin Layers with Open-Ended Coaxial Probes
(Peer reviewed; Journal article, 2019)This paper presents a method to simultaneously determine the thickness and permittivity of thin layers from multi-frequency reflection coefficient measurements using an open-ended coaxial probe. This is achieved by exploiting ... -
Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard
(Peer reviewed; Journal article, 2022)The Arctic is a region undergoing continuous and significant changes in land relief due to different glaciological, geomorphological and hydrogeological processes. To study those phenomena, digital elevation models (DEMs) ... -
Combining direct and indirect sparse data for learning generalizable turbulence models
(Peer reviewed; Journal article, 2023)Learning turbulence models from observation data is of significant interest in discovering a unified model for a broad range of practical flow applications. Either the direct observation of Reynolds stress or the indirect ... -
Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications
(Peer reviewed; Journal article, 2022)Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is ... -
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 ...