Addressing industry challenges through automated mineralogy analysis

The copper industry is facing unprecedented challenges as the demand for copper is projected to increase significantly, with a 70% surge expected by 20501. Modern copper deposits often feature lower grades and complex textures, making efficient extraction more difficult.  Automated mineralogy analysis can help overcome these hurdles to optimize copper recovery.

 

1Farrel, S and Whitton, L. BHP Insights: how copper will shape our future. (2024) 


Comprehensive ore characterization

Multi-fraction analysis

Characterizing complex ores requires analyzing crushed particles of varying sizes from multiple processing plant stream samples. Automated mineralogy analysis captures the textural information of ore minerals, which is used to quantify liberation and locking data as well as mineral associations within micro-textures. This comprehensive approach ensures representative results and provides a better understanding of the ore’s processing behavior.

Mineral map from Thermo Scientific Maps Min Software showing the complex textures of particles from a Cu sulfide ore.

Geometallurgical characterization

Analyzing polished thin sections or rock slabs can provide a thorough geometallurgical characterization of copper ores. This detailed assessment offers insights into an ore body's potential, including its valuable mineral content and deleterious mineral and element data. Accurate mineral identification is essential for developing effective processing strategies that enhance copper recovery and reduce environmental impact.

Processing challenges in copper deposits

Copper deposits often contain problematic minerals such as arsenic-bearing enargite and fluorine-containing gangue, like sericite or clays. These minerals complicate the processing and refining of copper ores. The presence of deleterious elements can lead to increased processing costs and environmental concerns. Accurate and detailed mineralogical data is essential for understanding the composition of these minerals and their behavior during processing.

The importance of quantitative mineralogical data

Quantitative mineralogical and textural data provide insights into the locking and association of copper sulfides and non-sulfide gangue, as well as the distribution of copper among floatable (sulfides) and non-floatable (oxides and silicates) minerals. This information is crucial for determining potential dilution in flotation concentrate and minimizing copper losses to tailings. Accurate elemental abundances and deportment are vital in formulating effective processing strategies to enhance copper recovery.


Leaching of low-grade Cu-sulfide and oxide ores

Hydrometallurgical and bacterial leaching

Low-grade copper ores require efficient leaching processes to extract copper economically. Advanced mineral analysis can enhance the efficiency of hydrometallurgical and bacterial leaching by providing highly precise data about minerals that affect acid consumption and heat generation. Understanding the free surface area and locking information of acid consumers and generators is crucial for optimizing leaching conditions and improving copper recovery rates.

Assessing leachability

Mineral association tables from advanced analysis quantify textural associations between phases, helping to assess the general leachability of the ore. Detailed mineralogical data makes it possible to predict leaching behavior and helps in designing processes that maximize copper extraction while minimizing reagent consumption and environmental impact.

Are you ready to optimize your copper recovery process?

Learn more about the transformative potential of advanced mineral analysis by reading our detailed application note.

The copper industry faces significant challenges due to the complex nature of modern copper deposits and the increasing demand for copper. Thermo Scientific Maps Min Software provides the detailed and accurate mineralogical data needed to address these challenges. Automated mineralogy analysis makes it easier to understand the composition and behavior of copper ores, which in turn supports the development and implementation of processing strategies that maximize copper recovery, optimize grades, and ensure sustainable growth. With Maps Min software, you can effectively tackle geometallurgical challenges, use resources more efficiently, and improve economic outcomes.


Automated mineralogy resources

Maps Min Automated Mineralogy eBook

Learn how Thermo Scientific Maps Min Software uses modern computational approaches to make mineral classification more objective, provide more repeatable results, and help you address even the most complicated textures and mineral systems.


Thermo Scientific particle analysis instruments and software

Maps Min: Automated Mineralogy Software

Built on more than 30 years of expertise in automated mineralogy, Thermo Scientific Maps Min Software offers a next-generation spectral engine that provides truly automated mineral identification, eliminates user bias, and delivers repeatable results. It effortlessly handles complex textures and variable compositions to help you address a variety of geometallurgical challenges.


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