Skip to main content
Log in

Agglomeration Scale: A Method to Improve Leaching Performance

  • Published:
Mining, Metallurgy & Exploration Aims and scope Submit manuscript

Abstract

Ore agglomeration has been used as part of the heap leaching process for the last 40 years. However, industrial experience shows that the lack of a universal agglomeration standard has limited the benefits of this, otherwise, valuable unit process. The more complex the ore, in terms of the nature and relative abundance of fines (<74 μm), the more important that the agglomeration product satisfies some minimal requirements. This paper presents an agglomeration scale that identifies the quality standards for agglomerates and documents the resulting mechanical, physical, and hydraulic (hydrodynamic) behavior associated with each level on the agglomeration scale. The hydrodynamic properties of an agglomeration product are critical for the proper design of a leaching operation and, as shown in this paper, can be used to select the optimal pretreatment method for a given ore sample. Agglomeration as a unit process not only allows better conditioning of the hydrodynamic behavior of the ore but also creates an opportunity for optimized delivery of reagents to kick-start the leaching process which may ultimately improve the economic performance of leaching. Industrial case data is used to demonstrate the shortfalls associated with low-quality agglomeration and the benefits of improved agglomeration which range from enhanced porous structure (better percolation and drainage characteristics) to better metallurgical response (faster kinetics and higher metal recovery). Proper agglomeration has been used to render otherwise untreatable ores into valuable leaching resources.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data Availability

The data that support the findings of this study are available upon request from the corresponding author: Amado Guzman.

Notes

  1. The definition of fines is that of the US Soil Conservation Service and includes material ranging from slimes to clay. US Department of Agriculture, Engineering Field Manual, Chapter 4. Elementary Soil Engineering, 1990.

References

  1. Guzman-Guzman A, Robertson S, Calienes B (2013) Constitutive relationships for the representation of a heap leach process. Heap Leach Solutions Conference, Vancouver, CA September 2013

    Google Scholar 

  2. Heinen HJ, McClelland GE, Lindstrom RE (1979) Enhancing percolation rates in heap leaching of gold-silver ores, Report of Investigation 8388. Bureau of Mines, Reno, NV, p 20

    Google Scholar 

  3. Capes CE (1980) Particle size enlargement. Elsevier Scientific Publishing Company

    Google Scholar 

  4. Chamberlin PD (1986) Agglomeration: cheap insurance for good recovery when heap leaching gold and silver ores. Mining Eng 38(12):1105–1109

    Google Scholar 

  5. Pyper R, Kappes DW, Albert T (2015) Evaluation of agglomerates using the Kappes percolation test. Heap Leach Solutions Conference, Reno, NV September 2015

    Google Scholar 

  6. Wang L, Yin S, Wu A (2020) Ore agglomeration behavior and its key controlling factors in heap leaching of low-grade copper minerals. J Clean Prod 279:123705

    Article  Google Scholar 

  7. Bouffard SC (2005) Review of agglomeration practice and fundamentals in heap leaching. Min Process Extract Metal Rev 26(3-4):233–294

    Article  Google Scholar 

  8. Sullivan JD, Maier G, Talston OC (1927) Passage of solid particles through rotary cylindrical kilns. Technical Paper 384. Department of Commerce. Bureau of Mines

    Google Scholar 

  9. Kapur PC, Runkana V (2003) Balling and granulation kinetics revisited. Int J Mineral Process 72:10–27

    Article  Google Scholar 

  10. Guzman A, Scheffel RE, Flaherty S (2006) Geochemical profiling of a sulfide leaching operation: a case study. In: SME 2006 Spring Meeting, March 2006, St. Louis, USA

  11. Mora CF, Kwan AKH, Chan HC (1998) Particle size distribution analysis of coarse aggregate using digital image processing. Cement Concrete Res 28(6):921–932

    Article  Google Scholar 

  12. Abbireddy COR, Clayton CRI (2009) A review of modern particle sizing methods. Proc Inst Civ Eng: Geotech Eng 162(GE4):193–201

    Article  Google Scholar 

  13. Guzman-Guzman A, Scheffel RE, Flaherty S (2008) The fundamentals of physical characterization of ore for leach. In: Courtney YA et al (eds) Sixth International Symposium on Hydrometallurgy. SME, Phoenix, AZ. August 2008

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the opportunity to work with the mining industry for the last several years which has given us the opportunity to research and improve existing industrial practices. We thank Glencore Lomas Bayas site personnel for their technical input and insights during the data collection, analysis, and preparation of this technical paper. Also, we recognize the dedication and excellent work from our technicians (Daniel Rodriguez, Eduardo Garcia, and T.K. Olson) whose effort facilitates the collection of the data presented in this document. Further, we thank the anonymous reviewers for their thoughtful comments and valuable suggestions which have enhanced the quality of the manuscript.

Funding

This work has been funded via multiple projects and by Research and Development initiatives within HydroGeoSense through the last 16 years.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Amado Guzman, Sara Swiokla Korsikas, Yuri Zepeda, and Toren Olson. The first draft of the manuscript was written by Amado Guzman, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Amado Guzman.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guzman, A., Korsikas, S.S., Olson, T. et al. Agglomeration Scale: A Method to Improve Leaching Performance. Mining, Metallurgy & Exploration 41, 501–514 (2024). https://doi.org/10.1007/s42461-024-00920-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42461-024-00920-8

Keywords

Navigation