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Unstructured Voronoi grids conforming to lower-dimensional objects
(Journal article; Peer reviewed, 2018)We present a novel mixed-dimensional method for generating unstructured polyhedral grids that conform to prescribed geometric objects in arbitrary dimensions. Two types of conformity are introduced: (i) control-point ... -
Upscaling models of CO2 migration through low-permeable layers in porous media
(Master thesis, 2020)In this thesis we investigate methods preserving the effects of thin layers of rock with low permeability on flow behaviour while upscaling geological models of porous media. More specifically, we study this upscaling in ... -
Upscaling of Water-Flooding Scenarios and Modeling of Polymer Flow
(Doctoral thesis at NTNU;2016:12, Doctoral thesis, 2016)This thesis considers simulations of the fluid flow in petroleum reservoirs, and includes work on upscaling methods and on modeling of polymer flood- ing, which is a particular method of enhanced oil recovery. The details ... -
Use of dynamically adapted basis functions to accelerate multiscale simulation of complex geomodels
(Chapter, 2018)A number of different multiscale methods have been developed as a robust alternative to upscaling and as a means for accelerated reservoir simulation of high-resolution geomodels. In their basic setup, multiscale methods ... -
Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables
(Peer reviewed; Journal article, 2021)New robotic sensor platforms have computing resources that enable a rich set of tasks for adaptive monitoring of the environment. But to substantially augment the toolbox of environmental sensing, such platforms must be ... -
Using discrete Darboux polynomials to detect and determine preserved measures and integrals of rational maps
(Peer reviewed; Journal article, 2019)In this letter we propose a systematic approach for detecting and calculating integrals and preserved measures of rational maps. The approach is based on the use of cofactors and discrete Darboux polynomials and relies on ... -
Using Ensemble Methods to Improve the Performance of Prediction - Statistical Analysis of a Myocardial Infarction Data Set from the HUNT Study
(Master thesis, 2017)The main focus of this thesis is to evaluate the use of ensemble methods to improve the performance of prediction, when applied on a myocardial infarction (MI) data set from the HUNT study. The data set comes from a ... -
Using GLM to Analyze Acceptability Judgement Test Data
(Master thesis, 2021)I denne oppgaven har vi evaluert lingvistiske forskningsspørsmål ved å bruke GLM modeller og andel korrekt svar av setninger fra Akseptabilitetstestdata gjennomført av elever fra videregående skoler med en, to, fire eller ... -
Using Hidden Markov Models for Musical Chord Prediction
(Master thesis, 2017)Music is made up of a melody and chords that accompany the melody. Finding suitable chords, can be hard and time consuming. This thesis investigates the use of Hidden Markov models (HMMs) to assist in this process. The ... -
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study
(Peer reviewed; Journal article, 2024)Background Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. Objective To assess the extent of busy ambulances in Central Norway ... -
Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model
(Journal article; Peer reviewed, 2018)We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates in a system governed by the kinetic Ising model with time-varying external fields. As its starting point ... -
Using the Composite Likelihood Method on 4D AVA Seismic Data
(Master thesis, 2011)This thesis is concerned with 4D AVA seismic inversion problems. By comparing two seismic surveys done over the same area, but at different times, one hopes to discover untapped pockets of oil or gas. Using the full ... -
Using the Ensemble Kalman Filter with Kernel Methods for History Matching of Petroleum Reservoirs
(Master thesis, 2008)The problem of conditioning a petroleum reservoir model to production data, so called history matching, is considered. The history matching problem is formulated within a Bayesian framework, where prior geological knowledge, ... -
Utforsking i algebra i 1T
(Master thesis, 2023)Sammendrag I denne masteroppgaven vil jeg se på tolkninger av begrepet ‘utforske’ slik det er brukt i Kunnskapsløftet 2020. Hovedfokuset for studien er utforsking i algebra i matematikk 1T. Dette blir undersøkt gjennom ... -
Utilizing spatial and temporal dependencies for prediction of avalanches - A case study of the road network in Sognefjorden.
(Master thesis, 2016)Accurate prediction of avalanches is demanded to ensure safety along Norwegian roads during the winter season. On the initiative of Statens vegvesen (SVV), different statistical models has been tested, but have been found ... -
UVS: Underwater Visual SLAM - A Robust Monocular Visual SLAM System for Lifelong Underwater Operations
(Journal article; Peer reviewed, 2023) -
Valg av eksperiment på romlige felt ved hjelp av eksperimentverdi
(Master thesis, 2009)Vi har i denne oppgaven satt opp et rammeverk for å sammenligne forskjellige eksperimenter på romlige felt. Eksperimentene består av en eller flere enkeltundersøkelser på det romlige feltet. Rammeverket består av en modell ... -
Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel
(Peer reviewed; Journal article, 2019)Aerodynamic characteristic of a small scale wind turbine under the influence of an incoming uniform wind field is studied using k-ω Shear Stress Transport turbulence model. Firstly, the lift and drag characteristics of the ... -
Valuating Forward Contracts in the Electricity Market using Partial Integro-differential Equations
(Master thesis, 2007)e will evaluate forward contracts in the electricity market. A thorough presentation of stochastic analysis for processes with discontinuous paths are provided, and some results concerning these from mathematical finance ... -
Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance
(Peer reviewed; Journal article, 2020)Many domains require the use of sophisticated simulators to adequately model the effect of chosen alternatives on the decision maker’s value. Decision support in such complex systems brings unique challenges around efficiency, ...