Blar i NTNU Open på forfatter "Johansen, Yngve Bolstad"
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Automated Log Data Analytics Workflow – The Value of Data Access and Management to Reduced Turnaround Time for Log Analysis
Torres Caceres, Veronica Alejandra; Duffaut, Kenneth; Westad, Frank Ove; Stovas, Alexey; Johansen, Yngve Bolstad; Jenssen, Arne Johannes Kaaijk (Peer reviewed; Journal article, 2022)The oil and gas industry of today is undergoing rapid digitalization. This implies a massive effort to transform standard work procedures and workflows into more efficient practices and implementations using machine learning ... -
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 ... -
Automated Well-Log Depth Matching – 1D Convolutional Neural Networks Vs. Classic Cross Correlation
Torres Caceres, Veronica Alejandra; Duffaut, Kenneth; Yazidi, Anis; Westad, Frank Ove; Johansen, Yngve Bolstad (Peer reviewed; Journal article, 2022)During drilling and logging, depth alignment of well logs acquired in the same borehole section at different times is a vital preprocessing step before any petrophysical analysis. Depth alignment requires high precision ... -
Shaly Sand Petrophysics and its Impact on Full Field Reservoir Simulation
Mæland, Anders Opsal (Master thesis, 2014)When a discovery has been made, appraisal wells are drilled, cored and logged. With the information they provide, an evaluation of the formation characteristics begin. Many parameters are correlated to the porosity log, ...