Browsing by Author "Eidsvik, Jo"
Now showing items 1-20 of 43
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A Bayesian Inversion Approach to Filtering and Decision Making with Applications to Reservoir Characterization
Rezaie, Javad (Doctoral Theses at NTNU, 1503-8181; 2013:275, Doctoral thesis, 2013)The main objectives of this thesis are the estimation/filtering and decision making problems with a Bayesian inversion point of view, and in geophysical systems. In addition, determining the information content in the ... -
A blockyness Constraint for seismic AVA Inversion
Jensås, Ingrid Østgård (Master thesis, 2008)The aim of seismic inversion is to determine the distribution of elastic parameters from recorded seismic reflection data. If a combination of elastic parameters is known, they indicate a certain fluid or lithology. Elastic ... -
Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model
Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna (Journal article; Peer reviewed, 2018)This paper presents methods for building and exploiting compact spatial models on board an autonomous underwater vehicle (AUV) towards tracking suspended material plumes. The research is aiming to improve real-time monitoring ... -
A heavy tailed statistical model applied in anti-collision calculations for petroleum wells
Gjerde, Tony (Master thesis, 2008)Anti-collision calculations are done during the planning of a new petroleum well. These calculations are required in order to control the risk of having a well-collision, which is an unwanted event at any cost. The risk ... -
Analysis of Longitudinal Data with Missing Values.: Methods and Applications in Medical Statistics.
Dragset, Ingrid Garli (Master thesis, 2009)Missing data is a concept used to describe the values that are, for some reason, not observed in datasets. Most standard analysis methods are not feasible for datasets with missing values. The methods handling missing data ... -
A Novel Profit Scoring Method for Classifying Credit Card Applications
Skarestad, Helge (Master thesis, 2017)This thesis presents a new scoring method for credit card applications. The method balances the risk and the expected profits an applicant represents to a credit card company. In addition, the EMP cut-off selection procedure ... -
Bayesian Text Categorization
Næss, Arild Brandrud (Master thesis, 2007)Natural language processing is an interdisciplinary field of research which studies the problems and possibilities of automated generation and understanding of natural human languages. Text categorization is a central ... -
Data assimilation for a geological process model using the ensemble Kalman filter
Skauvold, Jacob; Eidsvik, Jo (Journal article, 2017)We consider the problem of conditioning a geological process‐based computer simulation, which produces basin models by simulating transport and deposition of sediments, to data. Emphasising uncertainty quantification, we ... -
Development of Penalized Complexity Priors for Stationary and Invertible Time Series Processes
Srivastav, Himanshu (Master thesis, 2017)In the thesis, the PC prior framework is applied to construct the prior distributions for dependencies of the AR(1) processes, the MA(1) processes and the ARMA(1,1) processes. -
Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration
Martinelli, Gabriele; Eidsvik, Jo (Journal article, 2014)The paper considers the problem of optimal sequential design for graphical models. Oil and gas exploration is the main application. Here, the outcomes at prospects or reservoir units are highly dependent on each other. The ... -
Energy Efficient Monitoring using Kalman Filter - A case study on environmental variables collected from solar panels
Dahlen, Anne-Line Evenstad (Master thesis, 2018)An Internet of Things (IoT) environment uses information gathering and sharing to draw conclusions, make decisions and predict future occurrences. The technology connects devices such as mobile phones and sensors in private ... -
Ensemble-based data assimilation methods applied to geological process modeling
Skauvold, Jacob (Doctoral theses at NTNU, 2018:404, Doctoral thesis, 2018)Summary: Data assimilation is the art of conditioning a numerical simulation of a physical process on observations of the real process. That is, adjusting estimates so that they agree not only with a mathematical model ... -
Estimating the Value of Information Using Bayesian Optimization with Gaussian Process Surrogate Models - An Application to Failure Rates at Offshore Wind Farms
Myklebust, Hans Olav Vogt (Master thesis, 2018)Finding operation and maintenance (O&M) strategies that increase the profitability of an offshore wind farm is essential in order to be competitive with other sources of renewable energy. An O&M strategy is characterized ... -
Estimation and model criticism for categorical and Gaussian Markov random fields
Wilhelmsen, Mathilde (Master thesis, 2007)We consider two different spatial models to describe the correlation structure on a lateral two dimensional grid. First, a discrete first order Markov random field is studied, where the spatial dependence is represented ... -
Estimation of Resrvoir Properties by Joint Inversion of Seismic AVO and CSEM data
Holm, Andreas (Master thesis, 2007)Porosity and water saturation in a horizontal top-reservoir are estimated from seismic AVO (Amplitude Versus Offset) data and Controlled Source Electromagnetic (CSEM) data jointly. A model connecting porosity and saturation ... -
Exact Optimization Methods for the Mixed Capacitated General Routing Problem
Gaze, Kevin Anders (Master thesis, 2013)This thesis is about using exact optimization algorithms to solve the routing problemknown as the Mixed Capacitated General Arc Routing Problem (MCGRP) that is a generalizationof many other well known routing problems. The ... -
Kalman filters applied to target tracking with multiple sensors
Hatlelid, Kjersti Mørch (Master thesis, 2013)The objective of this master thesis is to look at an air surveillance system with the ability to integrate observations from multiple radars. A fictional plane is detected by the system, and the goal is to estimate the ... -
K-nearest neighbour methods for value of information in petroleum decision making
Manoharan, Nirosan (Master thesis, 2014)In this thesis a parametric and non-parametric model are proposed for the study of value of information regarding decision making in petroleum industry. More specifically, a Gaussian method is introduced and analysed for ... -
LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model
Ruud, Kristian Amundsen (Master thesis, 2018)Extended object tracking (EOT) have numerous applications and can be integrated in autonomous systems like self-driving cars or autonomous surface vehicles. These systems can be improved by using robust tracking algorithms ... -
Lineær mikset modell for kompressor data med en applikasjon
Herdahl, Mads (Master thesis, 2008)StatoilHydro is the operator of the Åsgard oil and gas field outside of Trøndelag, Norway, where large compressors for injection, recompression and export of natural gas are installed. The facility transports and stores ...