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Challenges with Density-Based Grade Estimation at LKAB’s Underground Iron Ore Mines
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-3791-4431
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-5347-0853
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0009-0009-0076-4661
2022 (English)In: Mining, Metallurgy & Exploration, ISSN 2524-3462, Vol. 39, no 6, p. 2301-2310Article in journal (Refereed) Published
Abstract [en]

Sublevel caving operation relies on the estimation of ore grade at drawpoints, as the mine management uses grade to decide whether the material at a certain ring should be loaded or abandoned. Grade is estimated in various ways, including visual estimation, density-based calculation, and sampling and assay methods. The grade estimation at the world’s two largest underground iron ore mines owned by LKAB in northern Sweden is based on the density difference between ore and waste. The calculations assume a constant swell factor, a theoretical fill of 100%, and a linear relationship between bucket weight and material grade. This study evaluated these assumptions in detail based on the loading data for 12,237 buckets and concluded that the method has some shortcomings which render the assumptions invalid. Further research is required to deal with these shortcomings to improve estimation of the material grade.

Place, publisher, year, edition, pages
Springer Nature, 2022. Vol. 39, no 6, p. 2301-2310
Keywords [en]
Sublevel caving, Grade control, Fragmentation, Bucket weight, Bucket volume
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-93634DOI: 10.1007/s42461-022-00688-9ISI: 000869336800001Scopus ID: 2-s2.0-85140017142OAI: oai:DiVA.org:ltu-93634DiVA, id: diva2:1704352
Note

Validerad;2022;Nivå 2;2022-12-06 (joosat);

Funder: Luossavaara-Kiirunavaara AB (LKAB)

Available from: 2022-10-18 Created: 2022-10-18 Last updated: 2025-04-09Bibliographically approved
In thesis
1. Role of Fragmentation at the Production Level of a Sublevel Caving Operation
Open this publication in new window or tab >>Role of Fragmentation at the Production Level of a Sublevel Caving Operation
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This research was conducted to evaluate the association of rock fragmentation with different unit operations of a sublevel caving (SLC) production cycle. Drilling, charging, and blasting, as well as the nature of the rock mass, can affect the fragmentation observed at the drawpoints. Similarly, loading the blasted material from the drawpoints and dumping to the orepasses are strongly influenced by the nature of the fragmentation, particularly the oversize rock fragments.

The aim of this research was to evaluate the operational and economic impacts of different fragment sizes in a production cycle of an SLC operation. It also investigated the possibility of predicting rock fragmentation in SLC blasting based on the nature of the rock mass.

The required data for this research were collected from LKAB’s Malmberget iron ore mine. The loading operation of the blasted rock was filmed, and images of Load-Haul-Dump (LHD) buckets containing blasted rock were extracted from the video recordings. The blasted rock inside the buckets was categorized as fine, medium, coarse, and oversize fragmentation, based on the median fragment size (X 50 ). Measurement While Drilling (MWD) data were used to classify the rock mass based on the extent of rock fracturing, and statistical analysis was performed to predict the fragmentation. The results showed that the percentage occurrence of fine and medium fragmentation classes and oversize fragments have better correlations and can be better predicted using MWD data than other fragmentation types. The impact of dumping oversize fragments to orepasses with and without a screening device was evaluated. The results showed an increase in the cycle time of the LHD machines for the orepass with the screening infrastructure.

The results suggest that the drill monitoring technique has the potential to predict rock fragmentation, particularly oversize rock fragments. In addition, the variations in fragmentation during loading should be considered to allocate the best resources for handling different fragment sizes properly and improve density-based ore grade estimations. Grizzlies, along with boulder breakers, should be used to prevent oversize fragments from entering the orepasses and to increase the overall productivity of the operation.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2023
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-96671 (URN)978-91-8048-319-3 (ISBN)978-91-8048-320-9 (ISBN)
Public defence
2023-06-15, A109, Luleå University of Technology, Luleå, 10:00 (English)
Opponent
Supervisors
Projects
Face-to-Surface II
Available from: 2023-04-20 Created: 2023-04-20 Last updated: 2025-04-09Bibliographically approved

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Manzoor, SohailGustafson, AnnaSchunnesson, Håkan

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