Browsing NTNU Open by Author "Aamo, Ole Morten"
Now showing items 21-40 of 148
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Advanced leak detection in oil and gas pipelines using a nonlinear observer and OLGA models
Hauge, Espen (Master thesis, 2007)An adaptive Luenberger-type observer with the purpose of locating and quantifying leakages is presented. The observer only needs measurements of velocity and temperature at the inlet and pressure at the outlet to function. ... -
AI for Room Assignment
Ke, William (Master thesis, 2021)Formålet med denne masteroppgaven er å designe og implementere en algoritme som automatisk kan tildele arbeidsplasser til studenter samtidig som et sett med begrensinger blir overholdt. Problemet med å tildele arbeidsplasser ... -
An Adaptive Observer Design for 2×2 Semi-linear Hyperbolic Systems using Distributed Sensing
Holta, Haavard H. F.; Aamo, Ole Morten (Journal article; Peer reviewed, 2019)We design an adaptive model-based observer for state and parameter estimation in 2 × 2 semi-linear hyperbolic systems with uncertain parameters where we assume that one of the two distributed states is available through ... -
Analysis of injury time in a football game using machine learning techniques
Vatsvåg, Erik Vabø (Master thesis, 2021)This thesis describes analysis done to investigate predictions on injury time in a football game. Statistical and several machine learning techniques have been applied to predict how many minutes will be added by the referee ... -
Application of deep reinforcement learning for control problems
Stray, Tharald Jørgen (Master thesis, 2019)Innenfor kybernetikk er tilnærmingen til prosesskontroll ofte basert på eksplisitt design og implementasjon av en regulator, basert på analyser av systemet. I dyp forsterkende læring er tilnærmingen svært forskjellig. Ingen ... -
Applying Reinforcement Learning for Controller Scheduling
Kleiven, Robin (Master thesis, 2020)Ved regulering / parameter tilordning kan grensene som må defineres for kontrollbytte / parameterbytte være utfordrende. I denne oppgaven er mulighetene for å anvende forsterkningslæring (RL) for kontrollplanlegging blitt ... -
Applying Reinforcement Learning for Controller Scheduling
Muralitharan, Chris Arun (Master thesis, 2020)Målet med denne masteroppgaven er å undersøke bruken av reinforcement learning for svitsjing mellom regulatorer. For å gjøre dette så er et reguleringsproblem som involverer to forskjellige regulatorer valgt. Det valgte ... -
At-bit estimation of rock density from real-time drilling data using deep learning with online calibration
Arnø, Mikkel Leite; Godhavn, John-Morten; Aamo, Ole Morten (Peer reviewed; Journal article, 2021)We present a novel streaming learning approach, utilizing a deep neural network (DNN) to learn from data available during operation to estimate at-bit density using drilling parameters. Since every wellbore is different, ... -
At-bit LWD estimation, lithology classification, and pressure control using machine learning
Arnø, Mikkel Leite (Doctoral theses at NTNU;2021:384, Doctoral thesis, 2021)The petroleum drilling process involves an array of complicated operations necessary to create circular wellbores to allow the exploration and recovery of hydrocarbons. Examples of these are overcoming the resistance, ... -
Attenuating heave-induced pressure oscillations in offshore drilling by downhole flow control
Strecker, Timm; Aamo, Ole Morten (Journal article, 2019)One of the challenges when applying managed pressure drilling (MPD) offshore on a floating rig is the wave-induced heaving motion of the rig. During drillstring extensions, the drillstring is rigidly attached to the rig ... -
Attenuation of Heave-Induced Pressure Oscillations in MPD
Dragset, Siri Garli (Master thesis, 2014)The purpose of this thesis is to discuss and perform down-hole pressure management in the well while drilling from a floating rig throughout a pipe connection. Managed Pressure Drilling (MPD) technology has proven successful ... -
Attitude Control of a 2-DOF Helicopter System with Input Quantization and Delay
Schlanbusch, Siri Marte; Aamo, Ole Morten; Zhou, Jing (Peer reviewed; Journal article, 2022)In this paper the attitude tracking control problem of a 2 degrees-of-freedom helicopter system with network induced constraints is studied. A predictor feedback control law is developed to compensate a known delay in the ... -
Automatic Start-up and Control of Artificially Lifted Wells
Rønning, Rasmus (Master thesis, 2011)Artificial lift in oil wells using a downhole pump has received much attentionthe last decades and is established as a reliable and efficient liftingmethod. In particular, artificial lift using an electric submersible ... -
Automating parts of the hardbanding process using computer vision and ROS
Hermansen, Kristoffer (Master thesis, 2019)Sammendrag Denne masteroppgaven tar ett dypdykk inn i noe av ingeniørarbeidet som trengs for å skape en ny autonom produksjonslinje for reparasjonssveis av slitte borerør hos WellConnection Mongstad. Hovedmotivasjonen for ... -
Autonomous Drilling Using Reinforcement Learning
Sjøvold, Eivind (Master thesis, 2021)Prosessen bak brønnboring krever store investeringer. Optimalisering av operasjonelle parametere med den henskikt å maksimere borerate(eng:rate of penetration (ROP)) er derfor et naturlig diskusjonstema. Optimalisering av ... -
Boundary Feedback Control of 2×2 Quasilinear Hyperbolic Systems: Predictive Synthesis and Robustness Analysis
Strecker, Timm; Aamo, Ole Morten; Cantoni, Michael (Peer reviewed; Journal article, 2022)We present a predictive feedback control method for a class of quasilinear hyperbolic systems with one boundary control input. Assuming exact model knowledge, convergence to the origin or tracking at the uncontrolled ... -
Boundary Observer Design for Hyperbolic PDE-ODE Cascade Systems
Hasan, Agus Ismail; Aamo, Ole Morten; Krstic, Miroslav (Journal article; Peer reviewed, 2016)The paper presents an observer design for a class of hyperbolic PDE–ODE cascade systems with a boundary measurement. The cascade systems consist of coupled PDEs, featuring one rightward and one leftward convecting first-order ... -
Boundary Set-Point Regulation of a Linear 2×2 Hyperbolic PDE with Uncertain Bilinear Boundary Condition
Holta, Haavard H. F.; Aamo, Ole Morten (Journal article; Peer reviewed, 2018)We design an adaptive controller for a 2 × 2 linear hyperbolic PDE with uncertain boundary parameters where measurements are taken at both boundaries, while only one boundary is actuated. The uncertainty, which appears in ... -
CFD Simulations of Heave-Induced Pressure Oscillations in a Drilling System
Os, Martin Treu (Master thesis, 2015)Managed pressure drilling is an advanced collection of techniques to enhance annular pressure control. During offshore drilling, the heave motion of the rig causes large surge and swab pressure variations down the hole. ... -
Classification of Drilled Lithology in Real-Time Using Deep Learning with Online Calibration
Arnø, Mikkel Leite; Godhavn, John-Morten; Aamo, Ole Morten (Peer reviewed; Journal article, 2021)Decision making to optimize the drilling operation is based on a variety of factors, among them real-time interpretation of drilled lithology. Because logging while drilling (LWD) tools are placed some meters above the ...