Blar i Department of Energy Resources (TN-IER) på tittel
Viser treff 120-139 av 271
-
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 ... -
Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study
(Peer reviewed; Journal article, 2022-08)This work presents an ensemble-based workflow to simultaneously assimilate multiple types of field data in a proper and consistent manner. The aim of using multiple field datasets is to improve the reliability of estimated ... -
Jurassic to Early Cretaceous basin configuration(s) in the Fingerdjupet Subbasin, SW Barents Sea
(Journal article; Peer reviewed, 2017-06)The Fingerdjupet Subbasin in the southwestern Barents Sea sits in a key tectonic location between deep rifts in the west and more stable platform areas in the east. Its evolution is characterized by extensional reactivation ... -
A laboratory scale approach to wettability restoration in chalk core samples
(Peer reviewed; Journal article, 2019)Wettability in chalk has been studied comprehensively to understand fluid flow mechanisms impacting coreflooding experiments. Wettability becomes paramount in understanding the parameters influencing chalk-fluid interactions. ... -
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 ... -
Load mitigation method for wind turbines during emergency shutdowns
(Peer reviewed; Journal article, 2021-02)Wind turbines experience countless shutdowns during their lifetimes. A shutdown is a transient process characterised by a pitch-to-feather manoeuvre of three blades. Such a pitch manoeuvre is often collective, open-loop, ... -
Low Carbon Enhanced Oil Recovery Solution for Carbonates
(PhD thesis UiS;, Doctoral thesis, 2024)Oil production from mature fields causes significant CO2 emissions, primarily linked to the management and processing of injected and produced water. As fields age, the demand for injected water increases, increasing both ... -
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 decline curve analysis for short-term oil production forecast
(Peer reviewed; Journal article, 2021-05)Traditional decline curve analyses (DCAs), both deterministic and probabilistic, use specific models to fit production data for production forecasting. Various decline curve models have been applied for unconventional ... -
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 ... -
Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning
(Peer reviewed; Journal article, 2021-03)Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreement’s climate target. To ensure that CCS is safe and successful, an efficient ... -
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. ...