El objetivo general de la presente investigación fue determinar el potencial mixto y la densidad de corriente del par galvánico calcopirita-pirita a partir de sus reacciones elementales anódica y catódica, así mismo, los objetivos específicos fueron: obtener y realizar una caracterización cinética electroquímica de las curvas anódicas de la calcopirita-pirita y las curvas catódica de reducción del ion férrico sobre ambos sulfuros, determinar el potencial mixto y la densidad de corriente del par galvánico calcopirita-pirita, y analizar el efecto de la razón de área pirita/calcopirita en el comportamiento del par galvánico. La metodología utilizada para obtener las curvas de polarización anódica de la calcopirita y pirita fue mediante un barrido de 0-700 mV vs Ag/AgCl, la caracterización y el análisis de los parámetros se realizó con la Ecuación de Tafel. Las curva...

The objective of this study is to predict the quantity of ANFO required for bench blasting in an open pit mine in Peru, through the application of advanced machine learning techniques. Six models were selected: Artificial Neural Networks (ANNMLP), Random Forests (RF), Support Vector Machines for Regression (SVR), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors (KNN), and Bayesian Regression (BR), due to their ability to handle complex multidimensional data and their success in similar applications, such as rock fragmentation prediction. The methodology included the collection of data from 208 drill holes, which were divided into training (70%), validation (15%), and testing (15%) sets. The models were evaluated using RMSE, MSE, MAE, and R2. The KNN model showed the best performance, with an R2 of 0.84, RMSE of 2.37, MSE of 5.60, and MAE of 1.35, standing out in predictive accura...

Mine tailings represent a secondary resource of growing interest in the context of the energy transition and circular economy. This study evaluated the potential for recovering critical elements from Tailings Deposit I of the La Cienega site, Peru, through the integration of geochemical and mineralogical characterization tools and three-dimensional geostatistical modeling. A total of 68 samples were analyzed for cobalt (Co), nickel (Ni), lithium (Li), and phosphorus (P), and 10 samples for uranium (U) and tungsten (W). The results revealed a significant presence of these elements, with localized enrichment zones and distinct geochemical associations. Ni and Co exhibited spatial patterns consistent with their likely occurrence in residual sulfides, whereas Li, W, U, and P showed more heterogeneous distributions. Three-dimensional modeling performed using ordinary kriging and validated thr...