Browsing Faculty of Science and Technology by Title

Now showing items 3893-3912 of 7037

    • Machine learning based shale volume prediction from the Norwegian North Sea 

      Ali, Mohammed (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 

      Alex, Anju (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 

      Dura Daniel (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 

      Amundsen, Anne Helland (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 

      Helland, Johan Olav; Friis, Helmer André; Assadi, Mohsen; Nagy, Stanislaw (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 

      Zolotukhin, Anatoly; Gayubov, A. T. (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 

      Shahali, Reihaneh (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 

      Shenavari Shirazi, Anousheh (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 

      Skjeldal, Miranda Ebsworth (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 

      Figuera, Carlos; Irusta, Unai; Morgado, Eduardo; Aramendi, Elisabete; Ayala, Unai; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve; Alonso-Atienza, Felipe (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 

      Lien, Audun Stjernelund (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 

      Jon Tveit (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 

      Sun, Xiaoyan (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 ...

    • Magnetic Resonance: Simulating Spin Magnetization 

      Holst-Larsen, Einar (Bachelor thesis, 2022)
      Magnetic resonance (MR) imaging modalities provide non-invasive and non-harmful in vivo imaging tools for clinical investigations. The standard clinical MR protocols used in brain examinations comprise several anatomical ...

    • Main pump start-up pressure limitation control system when using thixotropic drilling fluids 

      Radin, Cedomir (Masteroppgave/UIS-TN-IPT/2013;, Master thesis, 2013-07-01)
      Everyday drilling operations in the Norwegian Continental Shelf become more challenged. They include drilling of highly inclined long wells in depleted reservoirs within narrow geo-pressure margins. In addition, drilling ...

    • Mainbore connectivity in perforated whipstock multilateral wells 

      Achije, Rumi Anthony (Masteroppgave/UIS-TN-IPT/2011;, Master thesis, 2011)
      The Starburst Multilateral is a special type of the TAML level 4 junction built around the proven concept of the hollow technology. This hollow technology has been in use in the North Sea for the past ten years and there ...

    • Maintainable Inventory System 

      Melkevig, Siren; Pedersen, Elen Margrethe (Bachelor thesis, 2023)
      In this bachelor's thesis, we have created an inventory system in collaboration with Netpower. This inventory system is a platform that gives the employees of Netpower a detailed overview of information about customers and ...

    • Maintainable Inventory System 

      Pedersen, Elen Margrethe; Melkevig, Siren (Bachelor thesis, 2023)
      In this bachelor's thesis, we have created an inventory system in collaboration with Netpower. This inventory system is a platform that gives the employees of Netpower a detailed overview of information about customers and ...

    • Maintenance Concept Study for Deep Subsea Tunnels: Rogfast Tunnel as a Case 

      Tonje Skjølberg (Master thesis, 2022)
      Today, Norway has 1259 road tunnels, 1185 are categorized as inland tunnels and 41 are categorized as subsea tunnels. In fact, the number of subsea tunnels has doubled in the last 20 years and entering a more challenging ...

    • Maintenance Optimization for Drilling HPU using Proportional Hazard Model 

      Bankole-Oye,Tosin (Master thesis, 2021)