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    • Data Accuracy from Well Test Operations 

      Gundersen, Ida Stuksrud (Masteroppgave/UIS-TN-IPT/2015;, Master thesis, 2015-12-18)
      This master thesis presents a study on data accuracy from well test operations. All data measuring methods, except bottomhole and surface PVT sampling, is investigated for the accuracy related to procedure and equipment ...

    • Data acquisition in hadoop system 

      Jia, Baodong (Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)
      Data has become more and more important these years, especially for big companies, and it is of great bene t to dig out useful information inside. In Oil & Gas industry, there are a lot of data available, both in ...

    • Data Analysis for Physical Activity Monitoring 

      Khan, Rameesha Asghar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Physical activity is essential for humans for maintaining a healthy and comfortable lifestyle. With science and technological advancements, there comes various guidelines for the amount of physical activity a person ...

    • Data and control tuning of a laboratory-scale autonomous drilling rig 

      Klæhaug, Ken Andre (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The main focus of this thesis is to tune a lab scale autonomous drilling rig. The rig requires a robust control architecture that can manage unforeseen risks and problems, and at the same time optimize the systems performance ...

    • Data Assimilation Methods in Seismic Inversion 

      Li, Geng (Masteroppgave/UIS-TN-IER/2018;, Master thesis, 2018-06)
      Full-waverform inversion (FWI) is a powerful tool for getting high resolution images from seismic data to understand formations and the reservoir characteristics. But the inversion problems usually do not have unique ...

    • Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother 

      Luo, Xiaodong; Chalub Cruz, William (Peer reviewed; Journal article, 2022)
      This work investigates an ensemble-based workflow to simultaneously handle generic, nonlinear equality and inequality constraints in reservoir data assimilation problems. The proposed workflow is built upon a recently ...

    • Data center high availability for integrated machine control platforms 

      Hole, Anders (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)
      National Oilwell Varco is a multinational company providing solutions to the oil industry. The main focus in Stavanger office is the Cyberbase chair and control system. This chair is a operators interface with machinery ...

    • DATA DRIVEN BHP PREDICTION DURING NORMAL DRILLING AND KICK 

      Kjølle, Herman Hanzal (Bachelor thesis, 2023)
      Accurate bottom hole pressure (BHP) prediction during drilling with and without kick play crucial roles in maintaining the safety and efficiency of drilling operations in the oil and gas industry. Traditional methods for ...

    • Data Driven Model Discovery - Petroleum application 

      Søndeland, Sander André (Master thesis, 2023)
      The SINDy algorithm is a data driven algorithm that discovers dynamical system in data that evolves over time. The method can be utilized for every dataset that evolves over time. In this study we have looked the Lorenz ...

    • Data Driven ROP Modeling - Analysis and Feasibility Study 

      Encinas Quisbert, Mauro Andres (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-07-15)
      Increasing the drilling speed in wells while maintaining the operational safety standards is a challenge that many Petroleum Engineers have undertaken. In recent years, high complexity wells (Horizontal, Extended Reach, ...

    • Data entry quality of double data entry vs automated form processing technologies: A cohort study validation of optical mark recognition and intelligent character recognition in a clinical setting 

      Paulsen, Aksel; Harboe, Knut; Dalen, Ingvild (Peer reviewed; Journal article, 2020)
      Background and Aims: Patient-reported outcome measures (PROMs) are increasingly used in health services. Paper forms are still often used to register such data. Manual double data entry (DDE) has been defined as the gold ...

    • Data Fingerprinting -- Identifying Files and Tables with Hashing Schemes 

      Tobiesen, Ole (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      INTRODUCTION: Although hash functions are nothing new, these are not limited to cryptographic purposes. One important field is data fingerprinting. Here, the purpose is to generate a digest which serves as a fingerprint ...

    • 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 quality of Glasgow Coma Scale and Systolic Blood Pressure in scientific studies involving physician-staffed emergency medical services: Systematic review 

      Tønsager, Kristin; Krüger, Andreas; Ringdal, Kjetil G.; Rehn, Marius (Peer reviewed; Journal article, 2020-04)
      Background Emergency physicians on‐scene provide highly specialized care to severely sick or injured patients. High‐quality research relies on the quality of data, but no commonly accepted definition of EMS data quality ...

    • Data Sharing in the Oil and Gas Industry 

      Ersdal, Maren; Helgeland, Charlotte Helland (Masteroppgave/UIS-HH/2020;, Master thesis, 2020-06)
      Data sharing in business situations potentially impact innovations, operations, quality of decision makings, and costs. Companies are moving in the direction of increased data sharing as of today and an area of great value ...

    • 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 ...