Browsing Studentoppgaver (TN-IER) by Title
Now showing items 69-88 of 147
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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 ... -
Optimized Smart Water Composition at Ekofisk Conditions
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-12)Seawater has been performing as a wettability modifier in chalk reservoirs and has been used for this purpose for a long time. This wettability alteration enhances microscopic then overall displacement efficiencies. Having ... -
Origin of anticline structure in the southern Hammerfest Basin and their impact in sedimentation and coarse-grained distribution
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06)This thesis shows how extensional fault-related folding holds a fundamental control on basin physiography and syn-kinematic sediments. The study has used two- and three-dimensional seismic data in combination with a ... -
Path design and optimization with obstacle avoidance via reinforcement learning
(Master thesis, 2022)For the last couple of decades, finding an optimized drilling path has been one of the key concerns for drilling engineers. It takes a couple of months to plan a well for a large number of people. The motive of this thesis ... -
Petrophysical Evaluation of the Thinly Bedded Nordmela Formation in the Johan Castberg Field, Barents Sea
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07)This study demonstrates how contrasting different distributions of shale in a reservoir determines the petrophysical properties. The Skrugard prospect (Well 7220/8-1), drilled in 2011, confirmed that the western Barents ... -
Porosity prediction from seismic data of the F3 block, offshore Netherlands, through seismic inversion and machine learning
(Master thesis, 2022)Porosity is a key rock property that influences reservoir quality and plays an important role in petroleum exploration and production. The most common sources of information for reservoir characterization are well and ... -
Predicting appointment attendance at an outpatient clinic
(Master thesis, 2021)Abstract Background and aim: No-show, refers to patients who do not show up in the scheduled appointment, which is a serious problem for many years in the hospital. Also, the no-show rates differ in countries because of ...