Nye registreringer

  • Geological Investigation of the Polaris CO₂ Storage Prospect in the Barents Sea 

    Gamst-Eriksen, Johan Edvard (Master thesis, 2025)
    This thesis investigates the Polaris prospect in the southwestern Barents Sea as a potential site for geological CO₂ storage. The study’s objectives were to (1) map the storage complex, (2) assess reservoir and seal suitability, (3) estimate storage capacity, and (4) evaluate leakage potential through the regional fault system. To achieve this, 3D seismic data were interpreted in Petrel alongside ...
  • Halomonas sp. MC140, a polyhydroxyalkanoate (PHA) producer isolated from the Arctic environment 

    Christensen, Mikkel; Chiciudean, Iulia; Lascu, Irina; Jablonski, Piotr; Shapaval, Volha; Zimmermann, Boris; Tanase, Ana Maria; Hansen, Hilde (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-07-03)
    Polyhydroxyalkanoates (PHA) are biobased and biodegradable polyesters with potential to replace petroleum-based plastics or for use as feed in aquaculture. In this study, Halomonas sp. MC140 was isolated from the Arctic littoral environment in Norway and characterized in terms of PHA production. Phylogenetic analysis of the draft genome sequence placed the strain as closely related to Halomonas ...
  • Fragmentation and Volatile Depletion in Meteor Head Echo Measurements 

    Silseth, Håkon (Master thesis, 2025)
    The main source of mass influx to Earth is thought to come from microgram sized meteoroids. These micro-meteoroids are indirectly detectable by high powered large aperture radars through the plasma they generate while ablating. A subset of meteor head echoes is known to contain abrupt drops in radar cross section (RCS). These drops can indicate meteor fragmentation, depletion of volatile elements, ...
  • Seasonal sea ice characterized the glacial Arctic-Atlantic gateway over the past 750,000 years 

    Knies, Jochen Manfred; Smik, Lukas; Song, Pengyang; Winsborrow, Monica; Bauch, Henning A.; Lohmann, Gerrit; Belt, Simon T. (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-07-04)
    The past occurrence of an extreme ~1-kilometer–thick Arctic Ocean–Nordic Seas ice shelf has been inferred from submarine landscape features and geochemical records, although fundamental aspects of its characteristics, impacts, and timing remain highly debated. Here, we challenge this pan-Arctic glaciation hypothesis by investigating two sites from the Arctic-Atlantic gateway (AAG) and the Nordic ...
  • Controls of sediment-bound and dissolved nutrient transport from a glacierised metasedimentary catchment in the high Arctic 

    Stachnik, Lukasz; Hawkings, Jonathan Robert; Spolaor, Andrea; Stachniak, Katarzyna; Ignatiuk, Dariusz; Sitek, Sławomir; Janik, Krzysztof; Łepkowska, Elżbieta; Burgay, Francois; Syczewski, Marcin Daniel; Segato, Delia; Forjanes, Pablo; Benning, Liane G. (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-06-16)
    Rapid warming in polar and alpine areas is causing significant glacier mass loss and resulting in increasing freshwater delivery to the oceans. Recent research indicates that higher meltwater water runoff is likely to increase solute and sediment transport, which will include nutrients, to downstream environments. This enhanced delivery may drive a negative feedback effect on atmospheric CO<sub>2</sub> ...
  • Can the Temperature of Feet Be Affected by Using Insoles with Elevated Points? An Experiment in Cold Environments 

    Fjeldstad, Lene Kristine Isaksen (Master thesis; Mastergradsoppgave, 2020-07-09)
    The projects aim was to find out if it is possible to increase temperature (research question 1), slow down the declining temperature (research question 2) or increase the subjective comfort related to temperature (research question 3) of feet while using insoles with elevated points, compared with using insoles without elevated points, in a cold environment. Six test subjects participated in an ...
  • Chronolock: Causal Time-Ordering with Blockchain Smart Contracts 

    Møller-Hansen, Marius (Master thesis, 2025)
    Distributed systems struggle with synchronization, especially when components must agree on the order of events across application or trust boundaries. Without clear causal ordering, systems can become vulnerable to inconsistencies, coordination failures, and auditability issues. This thesis presents \textbf{Chronolock}, a blockchain-hybrid system that enforces causal-time ordering across distributed ...
  • Fault and Fracture Patterns with Linkage to Fluid Migration in the Shallow Subsurface: A 3D Seismic Study along a transect of the Western Barents Sea 

    Riise, Herman Fossum (Master thesis, 2025)
    This thesis investigates shallow subsurface deformation patterns and their relationship to fluid migration and glacial processes in the southwestern Barents Sea. The study focuses on four key areas: Lyngenfjorden, Hammerfest Basin, Bjørnøyrenna, and Storfjordrenna. Using high-resolution P-Cable 3D seismic data and interpretation tools in Petrel, the objective was to identify faults, fractures, and ...
  • Enhanced fish performance and biosecurity by manipulation of the natural microbiome of Atlantic salmon 

    Karlsen, Christian; Sveen, Lene; Ytteborg, Elisabeth; Krasnov, Aleksei; Johny, Amritha; Timmerhaus, Gerrit; Klemetsen, Terje; Linden, Sara; Sundh, Henrik (Research report; Forskningsrapport, 2025)
    The project aimed to enhance Atlantic salmon's performance and biosecurity by manipulating their microbiome. The study investigated whether specific seawater bacteria from healthy salmon skin could improve smolts' survival after seawater transfer. Scale-explants were used to study host-bacterial interactions. Although some bacteria showed probiotic potential, they did not significantly reduce ...
  • Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial 

    Chomutare, Taridzo; Svenning, Therese Olsen; Hernández, Miguel; Ngo, Phuong Dinh; Budrionis, Andrius; Markljung, kaisa; Hind, Lill Irene; Torsvik, Torbjørn; Mikalsen, Karl Øyvind; Babic, Aleksandar; Dalianis, Hercules (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-07-03)
    Background: Clinical coding is critical for hospital reimbursement, quality assessment, and health care planning. In Scandinavia, however, coding is often done by junior doctors or medical secretaries, leading to high rates of coding errors. Artificial intelligence (AI) tools, particularly semiautomatic computer-assisted coding tools, have the potential to reduce the excessive burden of administrative ...
  • The early-mid Quaternary development of the Bjørnøyrenna Trough Mouth Fan reconstructed from 3D-seismic data 

    Grøthe, Erlend Ettestad (Master thesis, 2025)
    The early-mid Quaternary development of the Bjørnøyrenna Trough Mouth Fan is studied using 3D seismic data. The stratigraphy is divided into three seismic units; unit A (oldest) to C and is correlated to previously established stratigraphic frameworks in the Barents Sea. The reflection configuration and the geometry of the units, in combination with geophysical attribute analysis form the basis for ...
  • 3D-Seismic investigation of Fluid Flow and Faulting in the western margin of the SW Barents Sea, southern Sørvestsnaget Basin along the Senja Ridge 

    Nygård, Vidar (Master thesis, 2025)
    The southwestern Barents Sea margin has attracted growing interest due to its hydrocarbon potential. However, the dynamics of its shallow subsurface fluid systems remain poorly understood. This thesis investigates fluid migration, faulting, and shallow gas accumulations within the southern Sørvestsnaget Basin adjacent to the Senja Ridge, using high-quality 3D seismic data (Carlsen3D) in combination ...
  • Study of shallow gas and gas hydrate dynamics around the Hinlopen slide: Insights from multi-channel seismic velocity and AVO analysis 

    Bakkemo, Karoline Sneve (Master thesis, 2025)
    The Hinlopen submarine slide located on the northern Svalbard margin is one of the largest submarine slides documented to date. The cause of the slide is associated with destabilizing factors like glacio-tectonic activity, isostacy, gas accumulation, gas hydrate dynamics, and rapid sediment loading in interglacial periods. Free gas accumulation within continental slope sediments is one of the most ...
  • 3D-seismic interpretation of fluid flow systems and faulting in the Sørvestsnaget Basin and the Veslemøy High, SW Barents Sea 

    Krane, Isak Steffensen (Master thesis, 2025)
    The southwestern Barents Sea encompasses a large part of the Norwegian Continental Shelf (NCS), expressing a complex geological history. The area is characterized by a series of rifting episodes from the Mesozoic and Paleozoic eras, along with more recent glacial impacts from the Late Cenozoic and the Quaternary period. The SW Barents Sea has experienced erosion and uplift, with large depocenters ...
  • Relationship between faulting and fluid migration in and around Leirdjupet Fault Complex 

    Mathiesen, Bendik Bigseth (Master thesis, 2025)
    This study investigates the spatial relationship between ice-flow direction (inferred from Mega-Scale Glacial Lineations, MSGLs) and subvertical amplitude anomalies in the southwestern Barents Sea. The focus area is in and around the Leirdjupet Fault Complex, a tectonic boundary separating the Bjørnøya Basin from the Fingerdjupet Subbasin. Interpretation of a 3,757 km² 3D seismic cube, complemented ...
  • Design and Evaluation of Interference Handling Mechanisms in Flow-Level Simulators 

    Solli, Stian Alexander (Master thesis, 2025)
    Wireless distributed systems face significant challenges when multiple devices share limited spectrum resources, leading to signal interference that corrupts data and impacts system performance. Flow-level network simulators, while computationally efficient, typically struggle to accurately model wireless interference scenarios, requiring users to implement complex collision handling mechanisms ...
  • BenderGPT: LLM Assisted Query Optimizing 

    Aarekol, Asbjørn Gisleson (Master thesis, 2025)
    Large language models have recently shown the ability to perform complex reasoning and planning tasks far beyond their original training objectives, yet they rarely serve as autonomous building blocks in production systems. Meanwhile, database query optimizers remain rigid, handcrafted systems that struggle with large complex queries. To bridge this gap, we introduce BenderGPT, a pluggable LLM‐powered ...
  • A Simulated UAV System for Greenhouse Gas Emission Source Localization Using Dispersion Modeling 

    Nonskar, Eirik Flønes (Master thesis, 2025)
    Accurate and efficient localization of greenhouse gas (GHG) emission sources is an important challenge in environmental monitoring. Unmanned aerial vehicles (UAVs) offer a flexible platform for this task, but efficient sampling and localization remain challenging, particularly under resource constraints such as limited flight time and onboard processing capabilities. This thesis presents a simulated ...
  • Automating the TinyML Pipeline: From Model Compression to Edge Deployment 

    Onderwater, Jurian Jasper (Master thesis, 2025)
    Deploying machine learning on resource-constrained devices such as microcontrollers, especially in harsh environments (e.g., the arctic) presents significant challenges. This thesis explores solving these challenges in the framework of TinyMLOps, focusing on enabling live model updates and predicting inference latency on STM micro controllers. A method for seamless runtime weight updates via direct ...
  • Transfer learning between Sentinel-1 acquisition modes enhances the few-shot segmentation of natural oil slicks in the Arctic 

    Vadnais, Julien; Robson, Benjamin Aubrey; Eide, Christian Haug; Mattingsdal, Rune; Johansson, Malin (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-06-12)
    Natural seepage is a significant contributor to marine hydrocarbon inputs. Remote and intermittent seeps are difficult to monitor in the field, yet surface oil slicks can be observed by spaceborne synthetic aperture radar (SAR) because they reduce backscatter, creating potential for automatic mapping. In mapping tasks like segmentation, deep learning models excel, albeit needing large amounts of ...

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