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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

By M. Tangstad, M. Zhu, M. B. Folstad

The dissolution rate of silica (SiO2) into different compositions of SiO2-CaO-Al2O3 slags was studied at 1500° C and 1550 °C under an inert atmosphere of argon. The results show that the dissolution process is controlled by mass transfer of SiO2 in the slag. The experimental results were used to evaluate the dissolution rate, which was found to increase with increasing CaO/Al2O3 ratios as well as with increasing temperature. Boltzmann–Matano analysis was applied to obtain a profile-based effective chemical inter-diffusivity. The extracted inter-diffusivity coefficients decrease systematically with increasing SiO2 content and fall in the range of ~10-12 – 10-13 m2/s. These low values imply intrinsically slow diffusion-controlled SiO2 enrichment, so that approaching equilibrium is unlikely within the residence time of descending materials in industrial furnaces.

Aug 3, 2026

By S. Swanepoel, M. W. Erwee, Q. G. Reynolds, R. Fourie

Unexpected excursions in electrode hoist position are occasionally observed on direct-current arc furnace plants producing ferrochromium, and are not readily explained by changes in electrical power supply or known process disturbances. One possible mechanism for this is variations in feed reductant balance altering the freeboard gas composition and, hence, the thermophysical properties of the arc plasma, changing the arc's effective electrical resistance. This hypothesis is investigated using an integrated computational modelling workflow comprising thermochemical equilibrium simulations in FactSage, plasma property calculations using the open-source minplascalc tool, and magnetohydrodynamic arc simulations using the open-source plasmaArc solver. Three reductant balance conditions were examined across a range of effective slag temperatures. Results show that while the reductant balance does influence freeboard gas composition and certain plasma properties (particularly electrical conductivity and radiation emission coefficient when lower slag temperatures are considered), these two effects act in opposing directions and largely cancel one another. Arc voltages and resistances are consequently not significantly different between reductant conditions. It is concluded that variations in feed reductant balance are unlikely to be the primary cause of the observed hoist excursion events via this mechanism, and directions for future investigation are proposed.

Aug 3, 2026

By B. S. Xakalashe, M. Khama, Q. G. Reynolds

Pre-reducing chromite with hydrogen offers significant benefits, including reduced energy consumption in downstream smelting and lower carbon dioxide emissions. To leverage these advantages, it is essential to develop computational models that facilitate the design, optimisation, and control of the process. Full scale models such as 3D computational fluid dynamics models are often used to investigate the multi-scale flow physics in heterogeneous reactors. However, these models impose prohibitive computational expense in the modelling of heterogeneous reacting flow systems. The high computational expense prevents the use of high dimensional systems in real time control and online optimisation of reacting flow systems. In order to facilitate incorporation of predictive models in the heterogenous reacting flow systems control loop, computationally efficient reduced order models are required. Owing to these requirements, a reduced order model for pre-reduction of chromite with hydrogen was developed with the view to rapidly predict the performance indicators for pre-reduction of chromite with hydrogen. The Thiele modulus method was used to develop the reduced order model, and the model results were compared to isothermal pre-reduction experimental results at a range of pre-reduction temperatures from 1200 oC to 1400 oC. The model predicts the degree of reduction, diffusion of gases through the product layer, unreacted core radius of the grain radius, and local and global conversion. The final conversion across all temperatures as predicted by the reduced order model deviate from the experimentally calculated conversion by a maximum relative error of 2.7% while the initial conversions differ significantly, reaching a maximum error of 65%.

Aug 3, 2026

By R. Snodgrass, G. Marsden, K. van der Merwe, R. Hundermark

The Southern African Ni-Cu-PGM smelting industry has evolved significantly from 1937 to date. As demand for platinum group metals has increased, smelting technology development has been closely linked to the need to process more concentrate, but also to changes in the chemistry and mineralogy of concentrates from the various platinum group metals-containing reef types. Early technologies relied on blast furnaces and Great Falls converters, but from the late 1960s, electric furnaces and Peirce Smith converters were commissioned. In the early 1990s, the introduction of water-cooled copper plate coolers into the slag zones of the primary furnaces enabled greater power intensity and throughput, with further intensification from the early 2000s requiring the use of deep-cooled copper coolers. Converting technology was also modernised to include a top submerged lance converter in one instance. Approaches to converter slag cleaning have evolved from recycling slag to the primary furnaces, to milling and flotation or electric furnace slag cleaning as the Cr2O3 content in slags has increased. The shift in the 1990s from Merensky ore derived concentrates to those from UG2 ores impacted the process design for the primary furnaces, with UG2 concentrates having lower matte falls and higher Cr2O3 levels. Conversely, concentrates derived from Platreef and Great Dyke ores, with high matte falls and lower Cr2O3 levels, have introduced other challenges. Furnace designs and operating philosophies have been improved to better handle these ranges of concentrates, the resulting slags and superheated mattes, the containment of which is non-trivial. The smelting of non-roasted concentrates in the primary furnaces gave rise to rapid corrosion of the copper coolers, and triggered development of corrosion mitigation strategies. Advances in SO2 emissions control have transitioned from single contact sulphuric acid plants in the 1970s, to the adoption of double contact acid plants, tailgas, and dual-alkali scrubbing in the early 2000s. Low SO2 strength off-gas streams from primary furnaces are abated in some cases, with technologies such as the Sulphacid process introduced from the early 2000s and the Wet-gas Sulphuric Acid process from the early 2020s. With advances in process intensification, increases in operating temperatures and throughputs, and use of water cooling, consequences of furnace failures have become more severe. Water leaks into the molten material environment, primary furnace containment, and slag granulation have been particularly challenging. Technologies, operating, and maintenance philosophies have been developed for prevention and mitigation of failures, and the adoption of process safety management approaches has yielded systematic benefits. With the outlook in demand for PGMs changing as a function of automotive requirements, smelting technology will continue to evolve for further enhancement of safety and environmental protection, reduced costs, and greater efficiencies.

Aug 3, 2026

By M. Tadie, D. A. Barrett, B. von der Heyden, R. Cromarty

This paper investigated the prereduction of ferruginous manganese tailings from the Nchwaning mine by isothermal reduction between 650 °C and 1050 °C. The treated tailings underwent subsequent magnetic separation to upgrade the Mn/Fe ratio and manganese grade so that the tailings can be used as high-quality ferroalloy feedstock. The tailings contain recoverable manganese but is penalised by elevated and complex iron content. There is a high degree of mineralogical variability found in the untreated tailings. Iron is present both as hematite and in solid solution within manganese minerals such as bixbyite, braunite, and braunite II. A hydrogen atmosphere was used in this paper as it is sufficiently reducing to produce metallic iron that can be separated magnetically. Lime and silica additives were investigated to determine their influence on Fe reduction kinetics and globule formation, which impacts the separability of Fe and Mn. Optical microscopy and SEM analysis of the treated material revealed distinct metallurgical behaviour between iron reduced from hematite – forming larger globules (50 µm to 600 µm) – and iron reduced from Mn-hosted phases, which formed smaller globules (0.1 µm to 2 µm). Relatively milder reducing conditions achieved the highest Mn/Fe ratio of 4.52 and an Mn grade of 57 wt.%. While below the desired target specification (Mn/Fe of at least 7.5 wt.% and Mn grade of at least 44 wt.%), this can still be met by blending the product stream with other low-grade Mn ores that contain minimal Fe. These findings highlight the potential for the upgradation of ferruginous manganese tailings.

Aug 3, 2026