AIGLEX: Spatial Variability Analysis Tools Using Machine Learning for Mining Exploration
Description
This project has allowed the packaging of a Software as a Service (SaaS) application that implements the Generative Geostatistics methodology for mining exploration that has been developed in ALGES. During the development of the project, a set of case studies have been carried out to validate the methodology and its effectiveness to accelerate the process of mining exploration and to advance the process of discarding and approval of projects in the portfolio of a mining exploration company.
Principal Researcher: Felipe Navarro. Participating Researchers: Alvaro Egaña, Alejandro Ehrenfeld, Marcia Ojeda, Felipe Garrido, Gonzalo Díaz.
Fund/Partner: Copec-UC