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.
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Data Availability
The data that support the findings of this study are available upon request from the corresponding author: Amado Guzman.
Notes
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
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
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
Capes CE (1980) Particle size enlargement. Elsevier Scientific Publishing Company
Chamberlin PD (1986) Agglomeration: cheap insurance for good recovery when heap leaching gold and silver ores. Mining Eng 38(12):1105–1109
Pyper R, Kappes DW, Albert T (2015) Evaluation of agglomerates using the Kappes percolation test. Heap Leach Solutions Conference, Reno, NV September 2015
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
Bouffard SC (2005) Review of agglomeration practice and fundamentals in heap leaching. Min Process Extract Metal Rev 26(3-4):233–294
Sullivan JD, Maier G, Talston OC (1927) Passage of solid particles through rotary cylindrical kilns. Technical Paper 384. Department of Commerce. Bureau of Mines
Kapur PC, Runkana V (2003) Balling and granulation kinetics revisited. Int J Mineral Process 72:10–27
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
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
Abbireddy COR, Clayton CRI (2009) A review of modern particle sizing methods. Proc Inst Civ Eng: Geotech Eng 162(GE4):193–201
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
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.
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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.
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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
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DOI: https://doi.org/10.1007/s42461-024-00920-8