Geometallurgy and the future of digital mining in Peru
DOI:
https://doi.org/10.15381/iigeo.v24i47.20661Keywords:
industrial revolution 4.0, machine learning, geometallurgy, geometallurgical model, process optimizationAbstract
Today, we are facing the fourth industrial revolution, which involves the emergence of new technologies such as robotics, machine learning systems, artificial intelligence, high-performance networks, and multi-cloud, among others. These developments, such as machine learning (machine learning), present themselves as an opportunity for the mining industry. In particular, for the field of Geometallurgy, which requires the integration of predictive models throughout the mining value chain (Geometallurgical Model). This scenario provides an innovative approach to significantly impact decision-making, leading to improved planning and optimization of processes. This article addresses the state of the art of Geometalurgia in the digital age, and presents the technological advances used in the mining industries. Likewise, the current situation of Geometalurgia in the Peruvian mines is presented.
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Copyright (c) 2021 Jesús Alberto Torres Guerra, Denis Mejía Cáceres, Patrick Moreyra Ramos, Jairo Oré Grados, Santos Oscco Barrientos
This work is licensed under a Creative Commons Attribution 4.0 International License.
AUTHORS RETAIN THEIR RIGHTS:
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b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the Rev. Inst. investig. Fac. minas metal cienc. geogr.
c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).
