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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 Based System Health Check Analyzer For Energy Components
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)In any system health check is an important measure, which provides details on how the system is performing and whether there is a need for an intervention manual or automated to correct any anomaly. There are several ... -
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 for Tagging of Educational Content
(Master thesis, 2022)Online education has become a popular education form in recent years, with its use increasing massively during the COVID-19 pandemic. Neddy is a start-up company created at the start of the COVID-19 pandemic with the aim ... -
Machine learning for underground gas storage with cushion CO2 using data from reservoir simulation
(Peer reviewed; Journal article, 2023)Underground natural gas storage (UNGS) is a means to store energy temporarily for later recovery and use. In such storage operations, carbon dioxide (CO2) can be injected as cushion gas to improve the operating efficiency ... -
Machine learning in reservoir permeability prediction and modelling of fluid flow in porous media
(Peer reviewed; Journal article, 2019)Reliable data on the properties of the porous medium are necessary for the correct description of the process of displacing hydrocarbons from the reservoirs and forecasting reservoir performance. The true permeability of ... -
Machine learning methods for assessing value-of-information
(Master thesis, 2022)One of the most useful features of decision analysis is its ability to distinguish between constructive and wasteful information gathering. Value-of-information (VOI) and sequential information gathering (Value-of-Flexibility, ... -
Machine Learning methods to detect improper and irrelevant citations
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)The focus of this study is on the relation between papers and their citations using Machine Learning algorithms to detect improper and irrelevant citations. The model takes the paper’s citations and classifies them into ... -
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 ... -
Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
(Journal article; Peer reviewed, 2016-07)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ... -
Machine learning to detect corporate greenwashing
(Master thesis, 2023)This master thesis focuses on developing an automatic approach to detect corporate greenwashing. To achieve this, data must be collected, and green claims found from this data must be fact checked. The first step is to ... -
Machine learning, unsupervised learning and stain normalization in digital nephropathology
(Master thesis, 2023)Chronic kidney disease is a serious health challenge and still, the field of study lacks awareness and funding. Improving the efficiency of diagnosing chronic disease is important. Machine learning can be used for various ... -
Machine Learning-Based Analysis of Test Results
(Master thesis, 2023)A comprehensive understanding of the overall performance of the tests is critical in software testing to make necessary adjustments to the test schedule or conduct targeted investigations. In ABB Bryne, the software testing ... -
Machines like us? An occupational health perspective on machine learning (artificial intelligence)
(Master thesis, 2022)Summary Aim Focusing on management theories and occupational health and safety (OSH) principles, the use of machine learning (AI) may give benefits within risk management, economical costs, as well as prevent sickness ... -
Macroeconomic Determinants of Green Bond Spreads Applying the conventional bonds’ analysis approach
(Master thesis, 2022)This research focuses on macroeconomic determinants of green bond yield spreads, using the Fixed effects panel regression model. We investigate 21 bonds issued by International Bank for Reconstruction and Development (IBRD) ... -
Macroeconomic Determinants of Green Bond Spreads: Applying conventional bonds' analysis approach
(Master thesis, 2022)This research focuses on macroeconomic determinants of green bond yield spreads, using Fixed effects panel regression model. We investigate 21 bonds issued by International Bank for Reconstruction and Development (IBRD) ... -
Macular hole Delphi consensus statement (MHOST)
(Peer reviewed; Journal article, 2023)Purpose To derive a Delphi method-based consensus for the surgical management of Full Thickness Macular Hole (FTMH) and Lamellar Macular Hole (LMH). Methods 37 expert VR surgeons from 21 mainly European countries ... -
Madla Sør in Rogaland, Southwest Norway : a settlement with long continuity?
(Chapter, 2023)This article discusses the continuity/discontinuity in Iron Age settlements in Norway. The article presents finds and research at the site of Madla Sør in Stavanger, Rogaland county, Southwest Norway, and particularly the ... -
MAGI OG DRAMATURGI - FANTASTISKE ELEMENTER I "TATT AV KVINNEN" AV PETTER NÆSS
(Bachelor thesis, 2022)