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By S. W. Jacobsz, F. O. Abimaje

Internal stability is a key consideration in the design and long-term performance of granular filters, as it precludes particle migration and internal erosion. This study evaluates the internal stability of coal discard material in coal co-disposal facilities. Reusing coal discards could reduce mine waste volumes and mitigate associated environmental impacts. However, coal discard material differs from most soils in terms of particle strength and density, with possible implications for hydraulic stability. Laboratory seepage tests were conducted on coal discard material under varying void ratios, subjected to a range of hydraulic gradients, and the results were used to confirm the applicability of the widely used empirical Kenney and Lau filter criterion to coal discard. Findings revealed that particle loss increased with higher void ratios. Nonetheless, particle migration remained minimal, with a maximum particle loss of only 0.2%, suggesting that coal discard exhibits sound internal stability under the tested conditions.

Jul 3, 2026

By R. Minnitt , D. Fourie, P. le Roux

This study proposes that the moving search neighbourhood used in ordinary kriging selects a subset of data surrounding each estimation block, and that this subset represents a local subpopulation of which the distributional parameters can be used to determine local, spatially-adaptive outlier capping values. This paper introduces a distance-weighted capping method applied within the kriging search ellipse after kriging weight calculation, transitioning from one-dimensional point estimation to two-dimensional block estimation for Witwatersrand-type gold deposits. Accurate ore grade estimation is essential for mine planning and economic evaluation, particularly in deep-level gold mines where extreme grade values (outliers) may distort resource assessments. Traditional capping methods, which apply a uniform threshold to outliers, often fail to account for spatial and geological variability, leading to biased estimates. A high-resolution simulation generates a synthetic ‘ground truth’ orebody, subsampled to mimic real-world data scarcity. A two-parameter lognormal distribution models grade variability, with capping values optimised by minimising the mean squared error between estimated and simulated block grades. Comparative analyses against traditional capping techniques demonstrate that the dynamic method improves regression fit, reduces conditional bias, and aligns more closely with production reconciliation data. Validation using swath plots, QQ-plots, and mine call factor comparisons confirms that the spatially adaptive capping technique mitigates over- and under-estimation, particularly in high-grade zones. Results indicate superior performance over conventional domain capping, with higher R² values and better alignment with actual production metrics. This approach offers a reproducible, scientifically rigorous framework for resource estimation, reducing reliance on rigid sub-domaining while enhancing decision-making in complex ore bodies. The study underscores the importance of integrating geological information with advanced geostatistics to optimise grade estimation and mine planning.

Jul 3, 2026

By Taylor K. Kruger, A. H. Basson , S. Fataar

The mining industry remains heavily reliant on mineworkers, whose working conditions are typically more arduous than in most industries. With recent technological developments in mining and other industries focusing on the digitalisation of workspaces, mineworker safety should be at the forefront of the digital transformation. Underground mines should be viewed – and developed – as human cyber-physical systems, where digital technologies are integrated with human roles to enhance safety and coordination. Contributing to this vision, this paper presents a set of functional requirements to guide the development of human cyber-physical systems that improve the safety of mineworkers in underground mines. The formulation of the functional requirements is informed by an analysis of the current context of underground mines and an exploration of opportunities for improved human-system integration within such environments. The functional requirements are related to the real underground mining context through an illustrative example, which demonstrates how a human cyber-physical system could monitor mineworker and environment states, perform predictive safety analyses, and coordinate operations. The proposed functional requirements serve as a starting point for the development of human cyber-physical systems within complex underground mining environments; however, further research (supported by real case studies) is required to refine and obtain specific target values for the functional requirements, and to formulate accompanying performance requirements.

Jul 3, 2026

By L. Xingwana

Mining operations face challenges like declining ore grades, rising costs, labour shortages, and aging infrastructure, necessitating increased efficiency. However, achieving operational efficiency in underground mining is complicated by inherent limitations, non-value-adding tasks, and inconsistent methodologies. This study examines the application of the integrated operational excellence model to improve operational efficiency in South African gold mining operations. The research conducted a combined quantitative and qualitative analysis, presenting a framework that illustrates the application of the theory of constraints and Lean Six Sigma in enhancing operational efficiency and excellence within the mining sector over six months in 2018. The study identifies key limitations, inefficiencies, and inconsistencies that impede operational excellence within the integrated operational excellence model. Successful implementation requires a deep understanding of the interdependencies between personnel, processes, and technology. These insights are valuable for mining executives, engineers, and policymakers seeking to modernise operations and improve sustainable productivity. Furthermore, the research paves the way for broader adoption of integrated excellence frameworks across South Africa's mining sector.

Jul 3, 2026

Since 2001, the Hybrid Stress Blast Model (HSBM) project members have developed a software suite to model the complete blasting process from non-ideal detonation to muck pile formation. To preserve the physics and improve solution time, the breakage engine uses a combination of analytical models and 2D axisym-metric finite differences to model near-field crushing, coupled to 3D discrete lattice fracturing and distinct element numerical methods to model throw and muck pile development. The model has been validated by comparison with laboratory and field tests in kimberlite. Multiple blasthole simulations are used to demonstrate how changes to blasting parameters can influence downstream efficiencies. Case studies of wall control blasting show that the presplit design must balance the two opposing effects of increased damage with increased charge and decreasing attenuation of the seismic waves with decreasing charge. Modelling of decoupled explosives needs further development. Reducing the charge towards the back of the trim blast results in a much more significant decrease in back damage than altering the timing. The model demonstrates how separation along the weaker planes in a jointed rock can coarsen the fragmentation, leading to inefficient beneficiation, and extends the damage to a distance of at least twice the burden behind from the blasthole, severely compromising the wall stability.

Jan 1, 2012