Browsing NTNU Open by Author "Spahic, Rialda"
Now showing items 1-7 of 7
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Context-based and image-based subsea pipeline degradation monitoring
Spahic, Rialda; Lundteigen, Mary Ann; Hepsø, Vidar (Journal article; Peer reviewed, 2023)This research examines the factors contributing to the exterior material degradation of subsea oil and gas pipelines monitored with autonomous underwater systems (AUS). The AUS have a role of gathering image data that is ... -
Enhancing Autonomous Systems’ Awareness: Conceptual Categorization of Anomalies by Temporal Change During Real-Time Operations
Spahic, Rialda; Hepsø, Vidar; Lundteigen, Mary Ann (Chapter, 2022)The Unmanned Autonomous Systems (UAS) are anticipated to have a permanent role in offshore operations, enhancing personnel, environmental, and asset safety. These systems can alert onshore operators of hazardous occurrences ... -
Image-based and risk-informed detection of Subsea Pipeline damage
Spahic, Rialda; Poolla, Kameshwar; Hepsø, Vidar; Lundteigen, Mary Ann (Peer reviewed; Journal article, 2023)As one of the most important assets in the transportation of oil and gas products, subsea pipelines are susceptible to various environmental hazards, such as mechanical damage and corrosion, that can compromise their ... -
Manually or Autonomously Operated Drones: Impact on Sensor Data towards Machine Learning
Spahic, Rialda; Lundteigen, Mary Ann (Chapter, 2022)The growing need for autonomous systems in offshore industries has contributed to the increased use of machine learning methods. These systems promise to improve safety in operations. However, the methods as enablers of ... -
A Novel Warning Identification Framework for Risk-Informed Anomaly Detection
Spahic, Rialda; Hepsø, Vidar; Lundteigen, Mary Ann (Peer reviewed; Journal article, 2023)Cyber-physical systems are taking on a permanent role in the industry, such as in oil and gas or mining. These systems are expected to perform increasingly autonomous tasks in complex settings removing human operators from ... -
Reliable Unmanned Autonomous Systems: Conceptual Framework for Warning Identification during Remote Operations
Spahic, Rialda; Hepsø, Vidar; Lundteigen, Mary Ann (Chapter, 2021)In the offshore industry, unmanned autonomous systems are expected to have a permanent role in future operations. During offshore operations, the unmanned autonomous system needs definite instructions on evaluating the ... -
Risk-Informed Artificial Intelligence for Autonomous Inspection on Subsea Pipelines
Spahic, Rialda (Doctoral theses at NTNU;2023:245, Doctoral thesis, 2023)The research in this thesis centers on the image data interpretation capabilities of autonomous underwater systems in the offshore oil and gas industry responsible for visual inspection and monitoring of underwater pipelines ...