Browsing Studentoppgaver (TN-IER) by Title
Now showing items 63-82 of 147
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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 ... -
Modeling of turbidite systems in deep-water, thrust-related bivergent anticlines
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06)In deep-water fold and thrust belts, thrust-related folds that switch vergence along strike can occur and are considered to have a major impact on reservoir distribution (Higgins et al., 2009). Syn-sedimentary processes ... -
Multi-Attribute Seismic Analysis Using Unsupervised Machine Learning Method: Self-Organizing Maps
(Master thesis, 2021)Seismic attributes are a fundamental part of seismic interpretation and are routinely used by geoscientists to extract key information and visualize geological features. By combining different findings from each attribute, ... -
Multiple Wave Approximation Algorithm for Solving Hyperbolic Partial Differential Equations
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North-Sea basement and provenance of the Permian Rotliegend Group
(Bachelor thesis, 2022)Conglomerates and sandstones from the Permian Rotliegend Group contain clasts of Caledonian origin that suggests a basement source area and a sediment transport direction connected to the tectonic activity in Carboniferous ... -
Numerical modelling of reverse circulation cementing with density unstable displacements in eccentric annulus
(Master thesis, 2021)This dissertation investigates the mechanics involved in reverse circulation cementing (RCC) with numerical modelling. Numerical simulations are done by utilising a computational fluid dynamics (CFD) software (OpenFOAM). ... -
Operatør bias i punkttelling
(Bachelor thesis, 2023)Tynnslip punktelling er en metode for å finne mineral sammensetningen til en bergart. Ulike feil kan påvirke resultatet. Målet med studien er å studere effekten av operatør bias av punkttelling resultater. Operatør bias ... -
Optimization of a smart water composition for Enhanced Oil Recovery study by wettability alteration in carbonates at high temperature.
(Master thesis, 2021)Seawater due to its wettability modifying qualities has proved to be an excellent injection fluid in chalk. At high temperature seawater alter wettability towards more water-wet conditions thus improving the overall oil ...