University of Oulu

Zong-Xian Zhang, Lost-ore mining—A supplementary mining method to sublevel caving, International Journal of Rock Mechanics and Mining Sciences, Volume 168, 2023, 105420, ISSN 1365-1609, https://doi.org/10.1016/j.ijrmms.2023.105420

Lost-ore mining : a supplementary mining method to sublevel caving

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Author: Zhang, Zong-Xian1
Organizations: 1Oulu Mining School, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 17.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20231004138744
Language: English
Published: Elsevier, 2023
Publish Date: 2023-10-04
Description:

Abstract

Sublevel caving (SLC) is a mass mining method having high productivity and high safety. However, this method often causes a considerable amount of permanent ore loss. Interestingly, all lost ores are buried in the broken waste rocks that come mostly from the caved hanging wall and partly from the ore body in which ore and waste rock are originally situated together. To mine out such lost ores from the broken waste rocks and increase ore recovery in SLC mines, a new mining method called lost-ore mining is introduced as a supplementary method to SLC, and a simple mechanics analysis is used to explain why the lost-ore could be mined out. Using this lost ore mining method, the Malmberget mine had recovered 7.5 million tons of lost iron ores from many old production drifts, as reported in the year 2016. Similarly, the Kiruna mine had mined out 2.6 million tons of iron ores from the old production drifts, according to a report in 2012. At last, some suggestions on how to use this new method are proposed.

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Series: International journal of rock mechanics and mining sciences
ISSN: 1365-1609
ISSN-E: 1873-4545
ISSN-L: 1365-1609
Volume: 168
Article number: 105420
DOI: 10.1016/j.ijrmms.2023.105420
OADOI: https://oadoi.org/10.1016/j.ijrmms.2023.105420
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
215 Chemical engineering
Subjects:
Copyright information: © 2023 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/