Tracking Grade Heterogeneity in a Panel Cave Mine: A Reconciliation Study Investigating the Impact of Mixing from an Ore Sorting Perspective

Author:

Cetin Mahir Can1,Klein Bern1,Li Genzhuang1,Futcher William2

Affiliation:

1. Norman B. Keevil Institute of Mining Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

2. Newcrest Mining Limited, Level 8, Melbourne, VIC 3004, Australia

Abstract

Bulk ore sorting is a preconcentration method applied to bulk streams or batches of material. The effectiveness of bulk ore sorting relies on the degree of the naturally occurring in situ grade heterogeneity of an ore deposit. The blending of ore during mining and material handling degrades the in situ grade heterogeneity initially present in an orebody and reduces the potential to apply bulk ore sorting. Block and panel cave mines experience mixing from the establishment of caves to the delivery of the caved ore to concentrators. This study focused on tracking the grade heterogeneity and quantifying the impact of mixing on the sorting potential of the Cadia East panel cave mine via the reconciliation of the grade measurements performed at different locations. The results showed that the copper and gold grades were almost fully homogenized via various mixing events identified for the mine. The tracked grade heterogeneity values revealed that the mixing during material handling, which included ore blending according to mine planning, reduced the grade variability more drastically than the mixing within the caves. As the ore travelled from its original in situ location, the grade distributions gradually transformed, and the grades eventually normalized around the mean values. Only insignificant amounts of low-grade material that could have potentially been discarded were reported to the on-belt sensor located at the surface. The results of this study are significant for cave mines exploring sorting systems for preconcentration as they highlight how mixing can impact the variability in ore grades.

Funder

Mitacs Accelerate Program

Publisher

MDPI AG

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference26 articles.

1. Robben, C., and Wotruba, H. (2019). Sensor-Based Ore Sorting Technology in Mining-Past, Present and Future. Minerals, 9.

2. Klein, B., and Bamber, A. (2019). Mineral Processing and Extractive Metallurgy Handbook, Society for Mining, Metallurgy & Exploration (SME).

3. Rutter, J., Scott, M., Odiar, N., Federov, M., and Francois-Bongarcon, D. (November, January 10–11,). Quantification of surface sensor representivity of primary crushed ore for bulk ore sorting. Proceedings of the Preconcentration Digital Conference, Online.

4. Noble, G., and Ferguson, S. (November, January 10–11,). Understanding ore heterogeneity and effective bulk ore sorting using PGNAA/PFTNA. Proceedings of the Preconcentration Digital Conference, Online.

5. Investigation on influential factors of bulk ore sortability based on fractal modelling;Li;Miner. Eng.,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3