Browsing Department of Energy Resources (TN-IER) by Title
Now showing items 131-150 of 271
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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. ... -
The Middle Jurassic to lowermost Cretaceous in the SW Barents Sea: Interplay between tectonics, coarse-grained sediment supply and organic matter preservation
(Peer reviewed; Journal article, 2020)Syn‐rift successions contain both prolific organic‐rich and coarse‐grained rocks, but these rocks are usually studied independently. Thus, the interplay among organic matter deposition, tectonics and sediment supply is not ... -
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 ... -
Mineral replacement in long-term flooded porous carbonate rocks
(Peer reviewed; Journal article, 2019-09)This study reports mineralogical and physical property changes linked to geo-chemical alterations processes during three ultra-long-term tri-axial tests on outcrop-chalk from Liège (Belgium). The test core plugs were flooded ... -
Mineralogy and geochemistry of reservoir and non-reservoir chalk from the Norwegian continental shelf
(Peer reviewed; Journal article, 2021-05)A first and detailed study of the geochemistry and mineralogy characterizing the North Sea reservoir and non-reservoir chalk is provided in this work. The study is based on 185 cores from exploration and development wells ... -
The missing link of Rodinia break up in western South America: A petrographical, geochemical, and zircon Pb-Hf isotope study of the volcanosedimentary Chilla beds (Altiplano, Bolivia)
(Peer reviewed; Journal article, 2020)The assembly of Rodinia involved the collision of eastern Laurentia with southwestern Amazonia at ca. 1 Ga. The tectonostratigraphic record of the central Andes records a gap of ∼300 m.y. between 1000 Ma and 700 Ma, i.e., ... -
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 ... -
Modeling Viscosity of CO2 at High Temperature and Pressure Conditions
(Peer reviewed; Journal article, 2020-03)The present work aims at applying Machine Learning approaches to predict CO2 viscosity at different thermodynamical conditions. Various data-driven techniques including multilayer perceptron (MLP), gene expression programming ...