Challenges with Density‑Based Grade Estimation at LKAB’s Underground Iron Ore Mines

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 10
- File Size:
- 1824 KB
- Publication Date:
- Oct 17, 2022
Abstract
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.
Citation
APA:
(2022) Challenges with Density‑Based Grade Estimation at LKAB’s Underground Iron Ore MinesMLA: Challenges with Density‑Based Grade Estimation at LKAB’s Underground Iron Ore Mines. Society for Mining, Metallurgy & Exploration, 2022.