Litcius/Paper detail

Detection of faults in subsea pipelines by flow monitoring with regression supervised machine learning

Daniel Eastvedt, G.F. Naterer, Xili Duan

2022Process Safety and Environmental Protection58 citationsDOIOpen Access PDF

Topics & Concepts

SubseaPipeline (software)Pipeline transportFault (geology)EngineeringComputational fluid dynamicsMarine engineeringProcess (computing)Fault detection and isolationRange (aeronautics)Computer scienceReliability engineeringSimulationArtificial intelligenceMechanical engineeringGeologyOperating systemSeismologyActuatorAerospace engineeringOil and Gas Production TechniquesDrilling and Well EngineeringOffshore Engineering and Technologies
Detection of faults in subsea pipelines by flow monitoring with regression supervised machine learning | Litcius