• Ml-based porosity modeling tested on synthetic and subsurface data 

  Salomonsen, Einar (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 ...

• The Generation of Synthetic Healthcare Data Using Deep Neural Networks 

  Hossein Zadeh Nik, Alireza (Master thesis, 2022)

  High-quality tabular data is a crucial requirement for developing data-driven applications, especially healthcare-related ones, because most of the data nowadays collected in this context is in tabular form. However, strict ...

• Porosity prediction from seismic data of the F3 block, offshore Netherlands, through seismic inversion and machine learning 

  Umar, Muhammad (Master thesis, 2022)

  Porosity is a key rock property that influences reservoir quality and plays an important role in petroleum exploration and production. The most common sources of information for reservoir characterization are well and ...

• Sensitivity Analysis for Drilling data using Machine Learning models 

  Tariq,Sofia (Master thesis, 2022)

  Over the last decade, machine learning models have become highly popular. Without requiring significant human participation, Machine Learning models improve the efficiency and dependability of any system. Machine Learning ...

• Relative Geologic Time By Dynamic Time Warping 

  Strøm, Aleksander S. (Master thesis, 2022)

  This thesis considers an approach to tackle a core problem within seismic interpretation, which is bringing an autonomously generated interpretation of the seismic data, which is now known as a Relative Geologic Time. The ...

• Testing Geological Reliability of Assisted History Matching Tools 

  Coffey, Martin (Master thesis, 2022)

  Assisted History Matching (AHM) has become a common practice in reservoir simulations. The algorithms used try to obtain through a function the models that best approximates the production data recorded during the reservoir ...

• Large Time Step schemes for Hyperbolic Conservation Laws in 2 Space Dimensions 

  Hoydal, Rúnar (Master thesis, 2022)

  Numerical solutions to partial differential equations (PDEs) will create varying amounts of error depending on different factors such as the numerical scheme and how fine the grid size is. In this thesis, we explored two ...

• Influence of Hyperparameters of Neural Ordinary Differential Equations in Their Ability to Model Dynamic Systems Governed by ODEs 

  Perilla Jonathan (Master thesis, 2022)

  In this thesis the Neural Ordinary Differential Equations (NODEs) are studied in their ability to model dynamic systems governed by ODEs. NODEs are a new type of artificial neural network that uses a feed-forward artificial ...

• 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 ...

• Trajectory Control via Reinforcement Learning with RSS Model 

  Gocmen, Emre Baris (Master thesis, 2022)

  Various researchers proposed several types of methods, algorithms, and simulator to control bottom hole assembly (BHA) while drilling a deviated well. These works consist of drilling, control, mechanical and electrical ...

• Controls and Distributions Of Tertiary Sandstones in Southern Viking Graben 

  Onyinyechi, Oleru (Master thesis, 2022)

  The Tertiary succession in the Ve Sub-basin, Sleipner Terrace, Utsira High and Ling Depression is studied to understand the lateral and vertical distribution of Tertiary sandstones, to know if Tertiary tectonics had an ...

• Utilizing machine learning algorithms in the ensemble-based optimization (EnOpt) ‎method for enhancing gradient estimation‎ 

  Raji, Nidaa (Master thesis, 2022)

  High or even prohibitive computational cost is one of the key limitations of robust ‎optimization using the Ensemble-based Optimization (EnOpt) approach, especially when a ‎computationally demanding forward model is involved ...

• Seismic vulnerability to underground tunnels with particular focus on the Rogfast project. 

  Eikil, Bjørn Svale (Bachelor thesis, 2022)

  During the last decades several studies of underground tunnels under seismic loads have been conducted. Classically, earthquakes have been associated with active plate boundaries and adjacent areas; however, seismic activity ...

• Comparing photogrammetric and iPad-Lidar models of exposed faces in the Rogfast tunnel. 

  Østhus, Hanna (Bachelor thesis, 2022)

  Cameras have become progressively more advanced in the 21st century. They are a ubiquitous feature in electronic devices, which brings more opportunities for collecting data in the field and creating 3D geologic models. ...

• The role of the evaporitic Zechstein Group on geothermal energy. Insights from the Norwegian North Sea 

  Dyskeland, Joakim (Bachelor thesis, 2022)

  Geothermal energy could potentially contribute to reduce CO2 emissions at Norwegian Continental Shelf if it is used for electrification of platforms. The main focus for this thesis is to improve the understanding of the ...

• North-Sea basement and provenance of the Permian Rotliegend Group 

  Achterberg, Ann Michelle van (Bachelor thesis, 2022)

  Conglomerates and sandstones from the Permian Rotliegend Group contain clasts of Caledonian origin that suggests a basement source area and a sediment transport direction connected to the tectonic activity in Carboniferous ...

• Geologisk kartlegging av Stavanger Domkirke og mulige opphavskilder ved lokale øyer (i samarbeid med Arkeologisk Museum) 

  Espedal, Øyvind (Bachelor thesis, 2022)

  Stavanger Domkirke er en av de eldste domkirkene i Norge. Tross sin status og alder, mangler det dokumentasjon på byggefaser og ressurser brukt i anledning til byggingen av kirken. I dette arbeidet har derfor deler av ...

• Geomorfologisk effekt på den sedimentære sammensetningen i den permiske Rotliegend-guppen i Nordsjøen 

  Berland, Lars Erik (Bachelor thesis, 2022)

  Den permiske Rotliegend-gruppen i Nordsjøen er delt inn i to bassenger, det nordlige permiske bassenget og det sørlige permiske bassenget. Det nordlige permiske bassenget, som også omfatter den norske sektoren, er mindre ...

• Hvordan bestemme settedyp for fôringsrør. 

  Flatebø, Ida (Bachelor thesis, 2022)

  Det viktigste for valg av settedyp og formasjonsvalg for de ulike foringsrørene er å avgjøre hvor de trengs. Man må regne med å måtte øke slamvekten som følge av økende poretrykk. Fra poretrykksberegninger og formenasjons-styrke ...

• Tectonostratigraphic evolution of the upper Paleozoic of the Sele High and its adjacent basins 

  Grudzinski Bartosz (Master thesis, 2021)

  The main focus of this study is to improve the understanding of the timing of the tectonic activity and its control over the distribution of the upper Paleozoic strata in the chosen study area. The study area is located ...

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