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Fault detection in 3D seismic data with machine learning methods and multiple atributes
Abstract: This study explores classical machine learning methods for fault detection in two seismic volumes: F3 (Netherlands) and Thebe (Australia). For each volume, we created a training dataset by extracting features through seismic attribute computation and a sliding window method. Leia mais…