Studentoppgaver (TN-IER): Nye registreringer
Viser treff 21-40 av 150
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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. ... -
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 ... -
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 ... -
Probabilistic decline curve analysis with multiple models
(Master thesis, 2022)Numerical models have been established to help understand the longevity of projects when exploring and drilling for hydrocarbons. They aid in understanding and optimizing decisions on the long-term feasibility of a project ... -
Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management
(Master thesis, 2022)In reservoir management, the ensemble-based history matching is applied to quantify and update uncertainty in reservoir characterization with the main objective to support high quality decisions. However, the ensemble-based ... -
Structural evolution of basement fault bounded fold structures using forward modelling methods: Application to the Beta structure in the Smeaheia area.
(Master thesis, 2022)In rift systems, extensional fault-related folds play an important part on the deformation pattern, and they are key to understand fault and sediment growth. In this thesis, the Beta structure in the Smeaheia area, Horda ... -
Study of Stress Concentration Factors at Pipe Welds in Relation to Hydrogen Induced Stress Cracking using Finite Element Method and Response Surface Modeling
(Master thesis, 2022)Duplex stainless steels, which are extensively used in the energy industry for subsea piping, have seen some significant failures, especially at the weld locations of cathodic protected piping components due to hydrogen ... -
IMPACT OF DATA PRE-PROCESSING TECHNIQUES ON MACHINE LEARNING MODELS
(Master thesis, 2022)The Volve dataset, which contains the time series values of different sensors that have been used at the Volve drilling site contains many flaws which make it hard for machine learning models to learn from the dataset and ... -
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 ... -
Seismic and log characterization of the Rogaland Group in the Norwegian Central Graben to the Åsta Graben
(Master thesis, 2022)With the rapid transformation in the energy sector, near field exploration is becoming a large priority. Although, the Paleocene Rogaland Group has been a successful target in different areas of the Norwegian Continental ... -
APPLICATION OF REINFORCEMENT LEARNING IN MANAGED PRESSURE DRILLING
(Master thesis, 2022)Automation in any industry has a control system as its base, and control systems are composed of a controller. In recent years an area of machine learning known as reinforcement learning (RL) has been focused on solving ... -
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 ... -
The Generation of Synthetic Healthcare Data Using Deep Neural Networks
(Master thesis, 2022)High-quality tabular data is a crucial requirement for developing data-driven applications, especially healthcare-related ones, because most of the data nowadays collected in this context is in tabular form. However, strict ... -
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 ... -
Sensitivity Analysis for Drilling data using Machine Learning models
(Master thesis, 2022)Over the last decade, machine learning models have become highly popular. Without requiring significant human participation, Machine Learning models improve the efficiency and dependability of any system. Machine Learning ... -
Relative Geologic Time By Dynamic Time Warping
(Master thesis, 2022)This thesis considers an approach to tackle a core problem within seismic interpretation, which is bringing an autonomously generated interpretation of the seismic data, which is now known as a Relative Geologic Time. The ... -
Testing Geological Reliability of Assisted History Matching Tools
(Master thesis, 2022)Assisted History Matching (AHM) has become a common practice in reservoir simulations. The algorithms used try to obtain through a function the models that best approximates the production data recorded during the reservoir ... -
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 ... -
Influence of Hyperparameters of Neural Ordinary Differential Equations in Their Ability to Model Dynamic Systems Governed by ODEs
(Master thesis, 2022)In this thesis the Neural Ordinary Differential Equations (NODEs) are studied in their ability to model dynamic systems governed by ODEs. NODEs are a new type of artificial neural network that uses a feed-forward artificial ... -
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 ...