• Assisted Cement Log Interpretation Using Machine Learning 

      Viggen, Erlend Magnus; Singstad, Bjørn Jostein; Time, Eirik; Mishra, Siddharth; Berg, Eirik (Peer reviewed; Journal article, 2022)
      The Assisted Cement Log Interpretation Project has used machine learning (ML) to create a tool that interprets cement logs by predicting a predefined set of annular condition codes used in the cement log interpretation ...
    • Automated well log depth matching: Late fusion multimodal deep learning 

      Torres Caceres, Veronica Alejandra; Duffaut, Kenneth; Yazidi, Anis; Westad, Frank Ove; Johansen, Yngve Bolstad (Peer reviewed; Journal article, 2022)
      Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ...
    • Automatic interpretation of cement evaluation logs from cased boreholes using supervised deep neural networks 

      Viggen, Erlend Magnus; Merciu, Ioan Alexandru; Løvstakken, Lasse; Måsøy, Svein-Erik (Peer reviewed; Journal article, 2020)
      The integrity of cement in cased boreholes is typically evaluated using well logging. However, well logging results are complex and can be ambiguous, and decisions associated with significant risks may be taken based on ...
    • Better Automatic Interpretation of Cement Evaluation Logs through Feature Engineering 

      Viggen, Erlend Magnus; Løvstakken, Lasse; Merciu, Ioan Alexandru; Måsøy, Svein-Erik (Chapter, 2021)
      We build systems to automatically interpret cement evaluation logs using supervised machine learning (ML). Such systems can provide instant rough interpretations that may then be used as a basis for human interpretation. ...
    • Better Automatic Interpretation of Cement Evaluation Logs through Feature Engineering 

      Viggen, Erlend Magnus; Løvstakken, Lasse; Måsøy, Svein-Erik; Merciu, Ioan Alexandru (Journal article; Peer reviewed, 2021)
      We investigate systems to automatically interpret cement evaluation logs using supervised machine learning (ML). Such systems can provide instant rough interpretations that may then be used as a basis for human interpretation. ...
    • Determining Inner Geometry Properties From Eccentered Pulse-Echo Measurements in a Pipe 

      Estuariwinarno, Mikael Yuan; Viggen, Erlend Magnus (Chapter, 2021)
      In the petroleum industry, well integrity evaluation is an essential part of maintaining the safety and sustainability of hydrocarbon production. Ultrasonic pulse-echo cased hole logging is a widely used type of measurement ...
    • Getting started with acoustic well log data using the dlisio Python library on the Volve Data Village dataset 

      Viggen, Erlend Magnus; Hårstad, Erlend; Kvalsvik, Jørgen (Chapter, 2020)
      Three issues have long impeded academic research and teaching on well logging. First, real measured data has been hard to come by. This has now been alleviated by Equinor's 2018 release of the Volve Data Village dataset. ...
    • Ultrasonic well integrity logging using phased array technology 

      Johansen, Tonni Franke; Buschmann, Philip Erik; Røsberg, Knut Marius; Diez, Anja; Viggen, Erlend Magnus (Chapter, 2023)
      Ultrasonic well integrity logging is an important and common procedure for well completion and plug-and-abandonment operations. Typical logging tools employ single-element ultrasound transducers. In medical ultrasound ...