AI's PROVEN Secret: Uncover Hidden Porphyry!

Описание: New AI & remote sensing unlock hidden porphyry copper deposits!

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Are you leveraging the latest Porphyry Copper and Gold Exploration techniques? This video reveals new signals in Mineral Exploration, integrating Remote Sensing Geology, advanced Deep Learning MPM, and powerful Geophysical Signatures for efficient Cu-Au-Mo Exploration across diverse geological settings. We delve into how modern geological models and technological advances are refining the search for these critical deposits, a key focus in today's Mining Industry Trends and Economic Geology. Learn to identify Hydrothermal Alteration zones, including potassic alteration zones, phyllic argillic alteration, and propylitic alteration, using multi-scale remote sensing data from ASTER and WorldView-3 imagery.

This spectral reflectance analysis, incorporating techniques like the Spectral Angle Mapper (SAM), has been validated with copper occurrences and lithogeochemical anomalies, even leading to the identification of novel hydrothermal zones near the Aidarly Deposit, Kazakhstan. Discover the power of Magnetic Exploration as a direct detection tool for deposits with distinctive magnetic signatures, crucial for understanding both regional geological modeling and local deposit characteristics, particularly in covered terrains like the Lachlan Fold Belt. We also discuss other geophysical methods like gravity and induced polarization (IP), which, enhanced by advances in computer technology, are becoming increasingly effective for mapping sulphide distribution and revealing hidden ore bodies.

Advanced Geochemical Anomalies are explored, with Sulfur Isotopic Zonation in sulfide minerals proving to be a significant geochemical vectoring tool around high-grade cores of porphyry systems. Furthermore, we highlight the importance of Indicator Minerals from drill core analysis in assessing magma fertility and physicochemical conditions of ore genesis models. The video also covers the application of Tourmaline Breccia Pipes and the insights provided by Boron Isotopes Tourmaline as effective vectoring tools. Finally, explore how Unsupervised Machine Learning methods, such as GeoViT (Vision Transformer), are revolutionizing Mineral Prospectivity Mapping (MPM) by fusing multi-source geoscience data and identifying complex mineralization-related spatial anomalies, especially beneficial for targeting IOCG Deposits and other concealed systems where traditional methods are challenged.

The bridge between Academy and Industry!

P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018

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