Artigos Técnicos
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. We compared multiple classifiers through a 10-fold cross-validation, with the Leia mais…
