Browsing Det matematisk-naturvitenskapelige fakultet by Author "Waaler, Arild Torolv Søetorp"

Now showing items 1-4 of 4

  • A semantic systems engineering framework for zero-defect engineering and operations in the continuous process industries 
    Cameron, David B.; Waaler, Arild Torolv Søetorp; Fjøsna, Erlend; Hole, Monica; Psarommatis, Foivos (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    The on-going twin transition demands that the continuous process industry builds and operates their facilities in a more sustainable way. This change affects the entire supply-chain. The market demands new ways of engineering, ...
  • Ontology-Based Data Access to Slegge 
    Hovland, Dag; Skjæveland, Martin G; Waaler, Arild Torolv Søetorp; Kontchakov, Roman; Zakharyaschev, Michael (Journal article / Tidsskriftartikkel / SubmittedVersion, 2017)
    We report on our experience in ontology-based data access to the Slegge database at Statoil and share the resources employed in this use case: end-user information needs (in natural language), their translations into SPARQL, ...
  • Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry 
    Qu, Yuanwei; Zhou, Baifan; Waaler, Arild Torolv Søetorp; Cameron, David B. (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2023)
    The petroleum industry is crucial for modern society, but the production process is complex and risky. During the production, accidents or failures, resulting from undesired production events, can cause severe environmental ...
  • SemML: Facilitating development of ML models for condition monitoring with semantics 
    Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Miku, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice in many ...