Geometallurgy Applied to Mine Planning

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Processing and Extractive Metallurgy".

Deadline for manuscript submissions: 29 July 2026 | Viewed by 2443

Special Issue Editors


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Guest Editor
Department of Mining Engineering, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
Interests: geometallurgy; mine planning; comminution; simulation; optimization

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Guest Editor
Department of Earth and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
Interests: predictive geometallurgy; geostatistics; mineral resource modeling; machine learning; deep learning

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Guest Editor
Département de Genies Civil, Géologique et des Mines, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
Interests: geometallurgy; optimization; mine planning; discrete event simulation; data analytics

Special Issue Information

Dear Colleagues,

Geometallurgy is an approach that combines geology, mining, and processes to describe the deposits in detail. Mine planning is an optimization method to extract mineral reserves to add value to the business. Combining geometallurgy with mine planning can produce scenarios close to reality and avoid undesired surprises due to the lack of characterization used in projects and operations. Different lithologies can have distinct responses during mineral processing and this information can be included in the block models developing the called “geometallurgical block model”. The challenge for mine planners is producing reliable mine planning from the geometallurgical block model to obtain a precise, fast, and consistent decision-making process.

Prof. Dr. Douglas Mazzinghy
Prof. Dr. Julian Ortiz
Prof. Dr. Nelson Morales
Guest Editors

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Keywords

  • mine planning including geometallurgical variables
  • deterministic and probabilistic mine planning modelling
  • tactical or strategic geometallurgy applied to mine planning
  • case studies using real or synthetic datasets

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Published Papers (1 paper)

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Research

24 pages, 4151 KB  
Article
Technical and Economic Impact of Geometallurgical Variables in a Mining Project
by Leone Freire da Silva, Kelly Cristina Ferreira, Leonardo Junior Fernandes Campos and Douglas Batista Mazzinghy
Minerals 2026, 16(1), 40; https://doi.org/10.3390/min16010040 - 29 Dec 2025
Viewed by 731
Abstract
The inherent complexity of the decision-making process in early-stage mining projects demands high-risk investments, often based on limited and low-confidence data. The geometallurgical approach offers an opportunity to mitigate uncertainties through the development of mathematical models to predict key process variables, such as [...] Read more.
The inherent complexity of the decision-making process in early-stage mining projects demands high-risk investments, often based on limited and low-confidence data. The geometallurgical approach offers an opportunity to mitigate uncertainties through the development of mathematical models to predict key process variables, such as recovery and specific energy. This research quantifies the economic and technical impact of incrementally increasing the number of variables in a geometallurgical model of a copper-gold-silver polymetallic deposit during the Pre-Feasibility Study (PFS) phase. Regression models were developed to correlate grades (copper, gold, and silver) and metallurgical variables (recovery and specific energy). The models were applied to eight geometallurgical block models, and technical and economic results were generated using Direct Block Sequencing (DBS). Across all scenarios, increased model complexity had a modest effect on production metrics but caused notable variation in Net Present Value (NPV), reaching a 6.92% difference between scenarios. Thus, adding more geometallurgical variables is justified not by higher production tonnage but by the potential to enhance and stabilize NPV through improved sequencing based on key value drivers (costs, recoveries and processing time). These findings highlight the value of early geometallurgical modeling, even with limited data, for producing a more integrated and improved economic assessment. Full article
(This article belongs to the Special Issue Geometallurgy Applied to Mine Planning)
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