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Localization of Thermal Wellbore Defects Using Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Defect detection and localization are key to preventing environmentally damaging wellbore leakages in both geothermal and oil/gas applications. In this study, a multistep, machine learning approach is used to localize two ...
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