Por: Giovani Baquerizo, Kevin Balbuena, Ismael Montalván, Jackeline Milla, Luz Espinoza y J. Alberto Torres, Universidad Nacional Mayor de San Marcos.

Primer puesto en formato póster III Concurso Internacional de Estudiantes SEG-IIMP.

Abstract

A prospective mineral mapping was carried out in the Andahuaylas-Yauri Batholith Metallogenic Province to identify target areas for porphyry-skarn deposit exploration. 

For this purpose, the study area presented in Rivera et al. (2011) was used as a reference, together with publicly available data, applying the Random Forest (RF) and Neural Network (NN) algorithms. 

In this case, the Geodynamics (G), Fertility (F), and Architecture (A) variables from the Mineral System model proposed by McCuaig & Hronsky (2014) were modeled. Based on this approach, two prospectivity maps were generated, whose metrics indicated that the Fertility (F) variable was the most significant in both the RF and NN models.