Browsing Studentoppgaver (TN-IER) by Title
Now showing items 56-75 of 147
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Investigation of torsional drillstring motion using finite element model
(Master thesis, 2021)In the thesis , a four degree of freedom dynamic drill string model suitable for prediction of self-excited torsional vibrations is modeled using the finite element method. The drill string equation of motion subjected to ... -
Investigation of vibration assisted cementing - a CFD study
(Master thesis, 2021)Abstract Primary cementing operations in the oil and gas industry are considered critical and complicated. For cementing operations to be successful, the fluid displacement in the annular volume has to be close to perfect. ... -
Joint Bayesian AVO and RMO inversion
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06-15)Seismic amplitude variation with offset (AVO) has proved to be a useful technique in oil exploration. However, the sensitivity of AVO to residual move-out (RMO) is considered a severe limitation. Small misalignments between ... -
Large Time Step schemes for Hyperbolic Conservation Laws in 2 Space Dimensions
(Master thesis, 2022)Numerical solutions to partial differential equations (PDEs) will create varying amounts of error depending on different factors such as the numerical scheme and how fine the grid size is. In this thesis, we explored two ... -
Lateral compositional variations in the Upper Jurassic source rock in the southwestern Barents Sea – an organic or inorganic disclosure
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06)Prominent high-value gamma-ray spikes in the maximum flooding surfaces of the Alge Member of the Hekkingen Formation display an uncommon stratigraphic and regional variation in the southwestern Barents Sea. The variation ... -
Lattice Boltzmann Simulation of Power-Law Fluids in a Fontan Geometry
(Master thesis, 2023)Numerical Modeling can provide insight and improve processes in human health. This masters thesis is a Python implementation of the lattice Boltzmann method in two dimensions to model flows related to the Fontan cardiac ... -
Lithological Heterogeneities in the Zechstein Group: Compressed Air Energy Storage Opportunities in Salt Caverns
(Master thesis, 2023)Ensuring a sustainable future necessitates the adoption of renewable energy sources, such as wind and solar energy. However, these energy sources are inherently intermittent, which emphasizes the need for effective energy ... -
Low- versus high-resolution assessment of reservoir compartmentalization in the Wisting field, Norwegian Barents Sea.
(Master thesis, 2021)Wisting is Norway’s northernmost oil field under development. With ~500 mmboe in shallow marine to fluvial Upper Triassic to Middle Jurassic reservoirs, which are highly faulted and just 250-300 m below sea bottom, this ... -
Machine and Deep Learning for Lithofacies Classification from Well Logs in the North Sea.
(Master thesis, 2021)Lithology identification by using well log data is an initial and fundamental step within petroleum geosciences; same that provides essential information about the subsurface and plays a crucial role in reservoir ... -
Machine learning based seismic classification for facies prediction
(Master thesis, 2023)This thesis explores the performance of machine learning (ML) methods for predicting facies from seismic attributes for 2D and 3D datasets. It focuses on building, training, and testing four supervised methods: Logistic ... -
Machine learning based shale volume prediction from the Norwegian North Sea
(Master thesis, 2021)Petroleum geosciences, like other fields, has entered the era of new advanced technologies to handle problems related to complex massive data sets and decision making. The growing quantity of subsurface datasets has created ... -
Machine learning for pay zone identification in the Smørbukk field using well logs and XRF data
(Master thesis, 2022)As geosciences enter the age of big data, a faster and more sophisticated tool is needed to automate manual interpretation workflows, limiting industry professionals' ability to harness all available well-log data to reduce ... -
Machine Learning techniques for Prediction of Rock Properties from Reservoir Well Logs
(Master thesis, 2021)Estimation of reservoir parameters is important in reservoir evaluation and estimation of petroleum volume. Reservoir parameters such as oil saturation, water saturation and porosity are derived from petrophysical logs or ... -
MICP-Based Rock Typing of Complex, Multi-Modal Formations in Edvard Grieg Field
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06-15)Rock/pore typing is a process of classifying reservoir rocks into units with similar petrophysical properties. When properly classified, each unit possesses a unique porosity-permeability relationship. This leads to improved ... -
Microplastic occurrence in selected sediments samples in Rogaland – a pilot study
(Bachelor thesis, 2023)Microplastic pollution is of growing concern and is today one of the most important problems of the Earth. When microplastic is release into the environment it can have major impact on both humans and other living being. ... -
Middle to Upper Jurassic Depositional Setting in the Hammerfest Basin, Southwestern Barents Sea
(Masteroppgave/UIS-TN-IER/2018;, Master thesis, 2018-07-06)The Middle to Upper Jurassic Fuglen and Hekkingen formations of the southwestern Barents Sea represents both important source rocks and seals in several petroleum plays in the region. The current understanding of this time ... -
Mineral liberation analyzer as a tool for reservoir characterization of Mesozoic succession of the Barents Sea (Norway).
(Master thesis, 2021)Heavy mineral studies have been applied to a selection of samples from the Kolmule Formation from the Cretaceous age and from the Stø Formation of Jurassic age to understand the rock composition of the samples and develop ... -
Ml-based porosity modeling tested on synthetic and subsurface data
(Master thesis, 2022)This thesis investigates if synthetic porosity models are useful as a basis for comparison between machine learning (ML) approaches to porosity prediction. In addition to the ML methods, the sequential gaussian simulation ... -
Modeling energy consumption and heat exchange of buildings
(Master thesis, 2021)High energy demand and the use of greenhouse gases are issues of today’s world. The world has a higher energy consumption now than ever before, and it is estimated to increase further. With the rise of renewable energy, ... -
Modeling Energy Consumption and Heat Exchange of Buildings
(Master thesis, 2023)This research thesis investigates energy consumption and thermal dynamics in buildings, with a focus on achieving energy efficiency and indoor comfort in cold-climate regions like Norway. There is a necessity for the ...