Automated Detection of Mineralization-Related Craton Structures Using Geophysical Data and Unsupervised Machine Learning
Internal structures and discontinuities within cratons are economically significant due to their history of tectonic reactivation from varying intraplate stress fields, which open pathways for fluid flow and facilitate mineral deposition. However, the complex overprinting tectonic processes that make cratons prospective can also lead to uncertainty regarding their internal geometries. To address this, we take … Read more…
