Browsing Studentoppgaver (TN-IER) by Document Types "Master thesis"
Now showing items 41-60 of 131
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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 ... -
Impact of risk attitude on optimal IOR initiation time: A case study solved in a sequential decision-making framework powered by machine learning-based non-linear regression
(Master thesis, 2023)The least-squares Monte Carlo algorithm (LSM) is an efficient approximate dynamic programming algorithm for solving sequential decision-making problems, leveraging regression. Previous studies have showcased the LSM workflow ... -
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 ... -
An Improved Approach in Estimating Gas Permeability for Tight Reservoir Rocks.
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-12-15)The impact of the permeability on ultra-tight porous media influences flow behaviour inside the media. The unconventional reservoir gas permeability significantly impacts rock property estimation crucial to unconventional ... -
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 ... -
Investigating the Effect of Injection Rate and Oil Viscosity on Oil Recovery during Waterflooding
(Master thesis, 2021)For over a century, waterflooding of oil reservoirs have been performed to improve oil recovery for two reasons: to provide pressure support to the reservoir and to displace the oil entrapped in the pores of the rock. ... -
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 ...