Blar i Institutt for matematiske fag på forfatter "Eidsvik, Jo"
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Seismic AVO Inversion with Fast Approximate Markov Chain Monte Carlo with Application to the Alvheim Field
Auestad, Karen Stormark (Master thesis, 2024)Inverse problemer kan løses i et Bayesiansk rammeverk. Da kombineres a priori kunnskap om modellparametre med en rimelighetsmodell for observerte data, for å konstruere en posterior-fordeling for modellparameterne. Markov ... -
Seismic waveform inversion using the iterative ensemble Kalman smoother
Gineste, Michael (Doctoral theses at NTNU;2020:323, Doctoral thesis, 2020) -
Sensitivitetsanalyse av SNOWPACK for norske forhold
Tuset, Vegard (Master thesis, 2020)NVE (Norges Vassdrag- og Energidirektorat) ga i 2019 ut en rapport, ``Snøskredulykker vinteren 2018-2019'', som viste at det var vedvarende svake lag og flaksskred som var hovedårsaken til nesten alle dødsulykkene i den ... -
Sequential information gathering schemes for spatial risk and decision analysis applications
Eidsvik, Jo; Martinelli, Gabriele; Bhattacharjya, Debarun (Journal article, 2018)Several risk and decision analysis applications are characterized by spatial elements: there are spatially dependent uncertain variables of interest, decisions are made at spatial locations, and there are opportunities for ... -
Ship Tracking Based on Fiber Optic Cable Data
Tømmerbakk, Maia (Master thesis, 2020)På havbotnen rundt om i verda finns det eit nettverk av fiberoptiske kablar. Ved å kombinera desse kablane med ein teknologi kalla distribuert akustisk måling, kan det kanskje vera mogleg å bruka data frå kablane til å ... -
Simulation-Regression Approximations for Value of Information Analysis of Geophysical Data
Eidsvik, Jo; Dutta, Geetartha; Mukerji, Tapan; Bhattacharjya, Debarun (Journal article, 2017)Value of information analysis is useful for helping a decision maker evaluate the benefits of acquiring or processing additional data. Such analysis is particularly beneficial in the petroleum industry, where information ... -
Simultaneous tracking of multiple whales using two fiber-optic cables in the Arctic
Rørstadbotnen, Robin Andre; Eidsvik, Jo; Bouffaut, Léa; Landrø, Martin; Potter, John Robert; Taweesintananon, Kittinat; Johansen, Ståle Emil; Storvik, Frode; Jacobsen, Joacim; Schjelderup, Olaf; Wienecke, Susann; Johansen, Tor Arne; Ruud, Bent Ole; Wuestefeld, Andreas; Oye, Volker (Peer reviewed; Journal article, 2023)Climate change is impacting the Arctic faster than anywhere else in the world. As a response, ecosystems are rapidly changing. As a result, we can expect rapid shifts in whale migration and habitat use concurrent with ... -
Spatial variability in seismic depth tomography
Dumont-Kristiansen, Frédéric-Nicolas (Master thesis, 2007)The location of a reflector or medium in the subsurface is correlated with the high wavenumbers or high frequencies in the velocity field. Indeed, the determination of the high frequencies of the velocity field both normally ... -
Spatio-temporal Gaussian processes and excursion sets for adaptive environmental sensing using underwater robotics
Foss, Karine Hagesæther (Master thesis, 2019)Utviklingen av undervannsrobotikk gjør det mulig å utforske havet på nye måter, og denne teknologien kan nå brukes i miljøovervåking. I denne oppgaven er undervannsovervåking anvendt på konsentrasjon av forurensing fra en ... -
Statistical approaches for sampling and monitoring in Earth science applications
Anyosa, Susan Chumbimune (Doctoral theses at NTNU;2023:374, Doctoral thesis, 2023) -
Statistical Methods for Calculating the Risk of Collision Between Petroleum Wells
Loeng, Bjørn Erik (Master thesis, 2012)In this thesis we explore several statistical methods for addressing the risk of collision between two petroleum wells. Such a collision is a potentially dangerous but rare event that can occur in situations with directional ... -
Statistical modeling for real time pore pressure prediction from pre-drill analysis and well logs
Paglia, Jacopo; Eidsvik, Jo; Grøver, Arnt; Lothe, Ane Elisabet (Journal article; Peer reviewed, 2019)The challenge of pore pressure prediction in an overpressured area near a well is studied. Predrill understanding of pore pressure is available from a 3D geologic model for pressure buildup and release using a basin modeling ... -
Strategies for Petroleum Exploration on the Basis of Bayesian Networks: A Case Study
Martinelli, Gabriele; Eidsvik, Jo; Hokstad, Ketil; Hauge, Ragnar (Journal article; Peer reviewed, 2014)The paper presents a new approach for modeling important geologicalelements, such as reservoir, trap, and source, in a unified statistical model.This joint modeling of these geological variables is useful for reliableprospect ... -
Strategies for Risk Based Inspection of Corrosion Damage in Pipeline Systems
Hjort, Anders (Master thesis, 2019)Rør og andre konstruksjoner på oljeraffinerier er gjenstand for innvendig korrosjon over tid. Korrosjonen kan føre til lekkasjer og andre kostbare skader, og jevnlige inspeksjoner av rørenes tilstand er derfor nødvendig ... -
Surrogatbasert optimering ved bruk av kunstige nevrale nettverk - Identifikasjon av lønnsomme O&M strategier for offshore vindfarmer gjennom stokastiske simuleringer
Gallala, Marius Rise (Master thesis, 2016)Kostnader tilknyttet drift- og vedlikeholdsoperasjoner utgjør en stor andel av kostnadene for offshore vindparker. Reduksjon av slike kostnader er essensielt for å gjøre energikilden mer konkurransedyktig. Strategier for ... -
The value of information for correlated GLMs
Evangelou, Evangelos; Eidsvik, Jo (Journal article, 2017)We examine the situation where a decision maker is considering investing in a number of projects with uncertain revenues. Before making a decision, the investor has the option to purchase data which carry information about ... -
The Value of Snow Measurements in Scheduling of Hydropower Plants
Ødegård, Heidi Liljeblad (Master thesis, 2016)The main goal of the thesis is to study the value of snow measurements in the scheduling of hydropower plants. This is done by implementing an approximative Least-Square Monte Carlo(LSMC) method to calculate the scheduling. ... -
Toward adaptive robotic sampling of phytoplankton in the coastal ocean
Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019)Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastal waters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ... -
Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables
Foss, Karine Hagesæther; Berget, Gunhild Elisabeth; Eidsvik, Jo (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 Hidden Markov Models for Musical Chord Prediction
Berget, Gunhild Elisabeth (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 ...