Geometallurgical Characterization of the Main Mining Fronts of a Zinc and Lead Mine Operation

Geometallurgy is an approach that utilizes predictive models that can support business decisions, mitigate risks, and enhance production efficiency. To develop an accurate geometallurgical model, it is essential to understand the behavior of each lithology within the ore body through geometallurgical testing. In this context, the present study aims to evaluate the performance of bench-scale tests conducted on the main mining fronts of a zinc mine operation located in Brazil. The mineral processing plant was designed to process lead and zinc sulfide ores without material stockpiling, where all ores extracted from the underground mine are immediately processed. The geometallurgical characterization was conducted through the following steps: sampling, crushing, grinding, and flotation. The recovery, concentrate, and tailing contents during the flotation stages of galena and sphalerite were analyzed. A mineralogical characterization using a Mineral Liberation Analyzer (MLA) was performed to assess the degree of particle liberation and mineral associations within the studied mining fronts. The results indicate that a higher degree of pyrite liberation leads to greater metallurgical recovery of mineralized bodies A (breccia-hosted orebody), B (sphalerite-rich doloarenite orebody), and C (upper replaced stratiform orebody). Among these, mineralized body C presents the highest recovery in the zinc and lead stages, with 99.5% and 86.2%, respectively.

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Publication Details

Journal
Mining
Published
2025-07-04
DOI
https://doi.org/10.3390/mining5030041
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
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article

Geometallurgical Characterization of the Main Mining Fronts of a Zinc and Lead Mine Operation

Douglas Batista Mazzinghy, Pedro Benedito Casagrande, Arletys Santos Pino, Jeovanna Gabryella Reges da Silva et al.
Mining
Mineral Processing and Grinding
article

Geometallurgical Characterization of the Main Mining Fronts of a Zinc and Lead Mine Operation

Douglas Batista Mazzinghy, Pedro Benedito Casagrande, Arletys Santos Pino, Jeovanna Gabryella Reges da Silva, Anna Luiza Madureira Batista, Pedro Henrique Alves Campos, Leonardo Júnior Fernandes Campos
article en

Abstract

Geometallurgy is an approach that utilizes predictive models that can support business decisions, mitigate risks, and enhance production efficiency. To develop an accurate geometallurgical model, it is essential to understand the behavior of each lithology within the ore body through geometallurgical testing. In this context, the present study aims to evaluate the performance of bench-scale tests conducted on the main mining fronts of a zinc mine operation located in Brazil. The mineral processing plant was designed to process lead and zinc sulfide ores without material stockpiling, where all ores extracted from the underground mine are immediately processed. The geometallurgical characterization was conducted through the following steps: sampling, crushing, grinding, and flotation. The recovery, concentrate, and tailing contents during the flotation stages of galena and sphalerite were analyzed. A mineralogical characterization using a Mineral Liberation Analyzer (MLA) was performed to assess the degree of particle liberation and mineral associations within the studied mining fronts. The results indicate that a higher degree of pyrite liberation leads to greater metallurgical recovery of mineralized bodies A (breccia-hosted orebody), B (sphalerite-rich doloarenite orebody), and C (upper replaced stratiform orebody). Among these, mineralized body C presents the highest recovery in the zinc and lead stages, with 99.5% and 86.2%, respectively.

MiningVol. 5(3)
Universidade Federal de Minas Gerais (BR)
Openalex Percentile: Top 84%
Mineral Processing and Grinding
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Geometallurgical Characterization of the Main Mining Fronts of a Zinc and Lead Mine Operation — Douglas Batista Mazzinghy, Pedro Benedito Casagrande, et al. · Mining (2025) | TGRS Research Map | TGRS