Blar i Faculty of Science and Technology på tittel

Data fusion algorithms for assessing sensors’ accuracy in an oil production well : a Bayesian approach

Esteves, Rui Máximo (Masteroppgave/UIS-TN-IDE/2009, Master thesis, 2009)

Oil industry faces an underutilization problem of the captured data during the extracting process. This issue is a consequence of the lack of information regarding sensors’ accuracy. One effect can be a serious obstacle ...

Data Processing of Functional Magnetic Resonance Images of the Human Brain

Øzdemir, Ahmed Burhan (Bachelor thesis, 2023)

Study of the brain’s neural network architecture and function is complex yet fascinating. Among the state-of-the-art approaches to detecting and obtaining functional data from the brain, magnetic resonance imaging (MRI) ...

Data quality and transit delay analysis for historical AVL data based on the SIRI protocol

Foss, Ine (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016)

Traffic agencies are investing in advanced technologies to improve their services. An automatic vehicle monitoring (AVM) system with vehicle location provides vehicles with a device to record information. In a bus transit ...

Data Quality Indication for User Awareness and Automated Decision Making

Haaland, Emil (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)

Enterprise Resource Planning (ERP) systems help organizations with administrating and planning various business related tasks and give insight with Key Performance Indicators. These mechanisms are highly dependent on being ...

Data Stream Evaluation for Decision Enhancement to Prescribe Maintenance

Hendraswari, Brigitta Dwita (Masteroppgave/UIS-TN-IMBM/2020;, Master thesis, 2020-06-18)

Nowadays, global competition and rapid technological advancement in the oil and gas industry induce organizations to enhance their maintenance strategies. Oceaneering, as a company within the energy industry, employs ...

Data-assisted differential diagnosis of dementia by deep neural networks

Larsen, Simen Norrheim (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-29)

There are currently 50 million people suffering from dementia worldwide. With an increasing life expectancy of the elderly, this number is expected to increase drastically over the next decade. With today's diagnosis of ...

Data-driven Approach for Kick Detection and Trend Analysis in Drilling Operations

Jørgensen, Axel (Bachelor thesis, 2023)

In the rapidly evolving landscape of the oil and gas industry, maintaining operational safety and optimizing drilling efficiency in complex wells, such as horizontal, extended reach, and HPHT wells, have emerged as paramount ...

Data-Driven Approaches Tests on A Laboratory Drilling System

Løken, Erik Andreas; Løkkevik, Jens; Sui, Dan (Peer reviewed; Journal article, 2020)

In recent years, considerable resources have been invested to exploit vast amounts of data that get collected during exploration, drilling and production of oil and gas. Data-related digital technologies potentially become ...

Data-driven decision-making practice in response with drawworks maintenance notifications

Zhu, Pengyu (Masteroppgave/UIS-TN-IKM/2015;, Master thesis, 2015-06)

Offshore installations are complex and need to be maintained properly to keep expected performance. Critical failures on these installations might induce great threats on productivity, personnel safety, and environment. A ...

Data-driven planning of maintenance

Hansen, Leif André Larsen (Masteroppgave/UIS-TN-IØRP/2016;, Master thesis, 2016-12-15)

The purpose of this master thesis is to develop data-driven mathematical models to “simulate” an equipment lifecycle over a period of time to reveal the associated effects like survival curve and hazard rate. The failure ...

Data-driven prediction of mean wind turbulence from topographic data

Morais da Costa, Bernardo; Snæbjørnsson, Jonas Thor; Øiseth, Ole Andre; Wang, Jungao; Jakobsen, Jasna Bogunovic (Peer reviewed; Journal article, 2021)

This study presents a data-driven model to predict mean turbulence intensities at desired generic locations, for all wind directions. The model, a multilayer perceptron, requires only information about the local topography ...

Data-driven sensitivity analysis of complex machine learning models: A case study of directional drilling

Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020-12)

Classical sensitivity analysis of machine learning regression models is a topic sparse in literature. Most of data-driven models are complex black boxes with limited potential of extracting mathematical understanding of ...

Datafangst av merkeskilt på teknisk utstyr

Holbak, Marita Lode (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2012-06)

Dokumentasjon og verifikasjon er i den senere tid blitt en viktig del av kvalitetssikringen av produkter og tjenester inne industrien. Det finnes i dag en rekke hjelpemidler til bruk innen verifikasjonsprosessen. Denne ...

Datalagringsdirektivet (DLD) kommer - gjem deg!

Eriksen, Even André (Masteroppgave/UIS-TN-IØRP/2011;, Master thesis, 2011)

"Alle blir vi voktet, men hvem vokter vokterne?" (Publius Vergilius Maro, romersk poet og forfatter; 70 f.Kr. - 19 f.Kr.) Denne masteroppgaven er gjennomført som en empirisk forskningsstudie, med sikte på å studere ...

Datamodell og måledataanalyse for Bybrua i Stavanger

Felberg, Sander Albin (Masteroppgave/UIS-TN-IMBM/2020;, Master thesis, 2020)

Denne oppgaven omhandler datamodellering og måledataanalyse av Bybrua i Stavanger. Hovedmålet er å konstruere en datamodell som samsvarer med den virkelige broen, i tillegg til å kartlegge de ulike egenfrekvensene og ...

Dataset for the Solar Incident Radiation and Electricity Production BIPV/BAPV System on the Northern/Southern Façade in Dense Urban Areas

Gholami, Hassan; Røstvik, Harald Nils (Peer reviewed; Journal article, 2021-05)

The prosperous implementation of Building Integrated Photovoltaics (BIPV), as well as Building Attached Photovoltaics (BAPV), needs an accurate and detailed assessment of the potential of solar irradiation and electricity ...