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By D. Bugarin, V. Kecojević, A. Cvjetić, N. Stanić, M. Gomilanović, L. Žujović, T. Stanković

In addition to unfavourable weather and working conditions, incidents and injuries in the mining industry are not uncommon. Factors such as extreme weather conditions, heavy machinery, and unstable terrain make mining a high-risk occupation. To mitigate these risks, there is a growing need for ongoing improvements in employee safety protocols and training programmes. This paper presents a conceptual framework aimed at enhancing the safety training of employees working in surface mining operations. The proposed solution integrates virtual reality and “serious games” as innovative tools to improve safety awareness and preparedness among mine workers. Specifically, a serious game was developed in two versions: a desktop application and a fully immersive virtual reality experience, both using the Unity3D game engine. These applications are designed to simulate real-life mining environments and address various workplace safety scenarios, offering employees an interactive and engaging way to practice their responses to potential hazards. The use of serious games and virtual reality allows for a deeper level of engagement in training, helping workers to retain critical safety information while reducing the risks associated with traditional on-site training methods.

Jul 3, 2026

By T. Chauke, J. M. Maponya, I. P. Dikgwatlhe

Accurate mineral resource estimation is crucial for optimising mining operations, reducing financial risks, and ensuring efficient resource utilisation. Various spatial modelling techniques have been developed to estimate ore grades and geological continuity, among which radial basis function interpolation and sequential Gaussian simulation are widely used. This review paper provides a comparative analysis of these two methods, examining their theoretical foundations, applications, strengths, and limitations in mineral resource estimation. Radial basis function is a deterministic interpolation method that models spatial relationships based on radial distance functions, making it effective for capturing smooth geological trends. Although kriging techniques have historically dominated the mining sector, new developments have brought to light their shortcomings, especially when handling sparse datasets and grade uncertainty. The paper examined case examples that demonstrate the usefulness of radial basis function and sequential Gaussian simulation in estimating mineral resources, with an emphasis on how they can model grade distributions, measure uncertainty, and maximise financial results. There is a substantial study gap dealing with the comparison of both methods; despite their respective advantages, a head-to-head comparison of radial basis function and sequential Gaussian simulation is still not well-studied. Their relative advantages, computational effectiveness, and compatibility with other geostatistical methods should all be assessed in future research. Guidelines for selecting estimating techniques based on geological conditions and project objectives are given to practitioners. The review emphasises how geostatistical techniques must be continuously improved to improve resource estimation precision and facilitate well-informed mining sector decision-making.

Jul 3, 2026

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

By Z. M. Beiranvand, M. Moghaddasi, A. Naeimi, Y. Naami, M. Raoufi

Titanium iron oxide and nickel-chromium coatings were applied on low-carbon steel substrates using the high-velocity oxygen fuel thermal spraying process. The microstructure, phase composition, and hardness of the coatings were analysed using scanning electron microscopy, x-ray diffraction, and microhardness tests. The phase analysis confirmed the formation of oxide compounds in the coatings. The average microhardness values for titanium iron oxide and titanium iron oxide-nickel-chromium coatings were measured at 580 HV and 970 HV, respectively, under a 100 g load. The corrosion resistance of the coatings was evaluated in a 3.5% sodium chloride solution using electrochemical impedance spectroscopy (EIS) and polarisation tests. The results indicated that the nickel-chromium composition exhibited superior corrosion resistance, which was attributed to its low porosity, preventing solution diffusion into the substrate. Wear behaviour was assessed using a pin-on-disk test with a tungsten carbide pin as the counterbody. The incorporation of nickel-chromium into the titanium iron oxide coating resulted in an 80% reduction in weight loss, indicating significant improvement in wear resistance. These findings suggest that nickel-chromium-modified titanium iron oxide coatings enhance both corrosion and wear resistance, making them promising candidates for industrial applications.

May 8, 2026

By Z. Duran, M. Genc, B. Erdem, T. Dogan

This study aims to develop a model for particulate matter concentration during the loading process in open pit mining. The researchers conducted simultaneous measurements of particulate matter and meteorological parameters and collected samples to determine the moisture content of the loaded materials. The analysis used 7,895 measurement data points from gypsum and limestone quarries, employing two data analysis programs, SPSS® and Waikato Environment for Knowledge Analysis, to derive equations for predicting particulate matter release. In the modelling, particulate matter measurements were the dependent variables, while meteorological parameters, laboratory measurement results, and loader bucket capacities were the independent variables. The classical regression models did not adequately capture the dependent variable, thus, the researchers explored the decision tree approach for further modelling. The M5P algorithm was used to generate regression equations for the different data sets, and the findings showed that the models had a satisfactory degree of predictive capability. The number of fine particles released during loading is influenced by various weather factors. Temperature, humidity, wind speed, and station pressure can all affect the dispersal of these particles. Additionally, the moisture content of the loaded material and the capacity of the loading equipment contribute to this process. The M5P decision tree algorithm, which is rarely used in particulate matter concentration models, provides an innovative approach to developing local concentration estimates for non-coal surface mining.

May 8, 2026

By F. Mulenga, S. Ncube

Rock fragmentation methods in open pit gemstone mining have developed to give priority to safety, environmental sustainability, and crystal integrity. Though effective, traditional drill-and-blast techniques can generate vibrations, adverse emissions, and structural damage, all of which could be detrimental in fragile geological settings. Costs, application in hard rocks, and operational inefficiency remain issues, despite the fact that mechanical excavation and evolving thermal and hydraulic technologies have provided some solutions. In response, there has been a growing interest in non-explosive alternatives, particularly soundless chemical demolition agents. This paper provides a comprehensive evaluation of non-blasting rock fragmentation techniques with an emphasis on the efficiency, economic considerations, and operational constraints of soundless chemical demolition agents SCDAs in gemstone mining. Soundless chemical demolition agents technology has shown promising results in preserving gem purity and reducing environmental impact, despite ongoing challenges. These include increased reaction times that hinder output, decreased performance in saturated or high-stress environments, and temperature sensitivity. The contextual relevance of soundless chemical demolition agent application in lateritic regions, such as Zambia, is discussed based on published studies and reported operational experience. Developments in formulation chemistry, fracture modelling, and borehole design have also demonstrated promise in overcoming current limitations. This review identifies the main factors that affect soundless chemical demolition agent performance and brings together reported strategies that can improve their use in high-value mineral extraction through a comprehensive review of recent studies. Ultimately, this article supports a paradigm change towards excavation techniques based on state-of-the-art non-explosive technology that are safer, cleaner, and more accuracy focused.

May 8, 2026

By W. J. van Wyk, W. I. Mahne, G. Priest, C. du Toit, W. A. Liebenberg

Prior to the Coalbrook disaster in 1960, bord-and-pillar mining of the number two seam in the Witbank coalfields often resulted in small pillars with low factors of safety. At the Goedehoop Colliery, number two seam pillar stability is also affected by top and bottom coaling, while at Greenside Colliery, stability was further reduced by additional loading from a surface mineral residue deposit. This compromised the stability of the number two seam workings, impacting the safe mining of the overlying number four seam reserves. To extend the life of mine of both operations, an alternative risk management approach using designated enhanced monitoring districts was implemented to safely mine the number four seam reserves. This paper presents the use of geophone arrays to monitor micro-fracturing in number two seam pillars and the interburden between number two seam and number four seam, thereby enabling early detection of potential instability during overmining of the number two seam. Risk was assessed using fault and event tree analyses to determine acceptable failure probabilities. Automated seismic data processing distinguished micro-fracturing from noise, supported by extensive evacuation procedures for effective risk management. This approach facilitated the safe extraction of 4.70 Mt of number four seam coal. The study quantifies the efficacy of geophone monitoring in optimising coal recovery over low factors of safety pillars and assesses the application of Van der Merwe’s (2019) time-based formulae for pillar stability analysis for this project.

May 8, 2026

By K. Thambi

Environmental rehabilitation has increasingly become a central concern in the regulatory and fiscal landscape governing South African mining operations. A key issue within this domain is the extent to which mining entities may claim tax deductions for expenditures incurred in fulfilling their environmental rehabilitation obligations. The Supreme Court of Appeal's decision in Sishen Iron Ore Company (Pty) Ltd v Commissioner for the South African Revenue Service [2025] ZASCA 16 addresses pivotal questions regarding the tax treatment of such expenditures. The judgment offers authoritative clarification on the interpretation of the Income Tax Act 58 of 1962—specifically sections 11(a), 11(c), and 36(11)(e)—as they pertain to mining activities and the environmental responsibilities imposed under the Mineral and Petroleum Resources Development Act 28 of 2002. This commentary critically examines the multifaceted implications of the Sishen ruling, highlighting the intersection of statutory interpretation, operational realities, and environmental accountability within South Africa’s mining sector.

May 8, 2026

By C. I. Kim, I. C. Paek, I. K. Tae, P. J. Thak, U. C. Han, K. S. Jong

This paper analyses the energy consumption according to the type of dump scroll track during skip discharging in an inclined shaft hoist for an open pit mine. For the purpose of the project, it was necessary to set up an equation for a geometrical locus of a skip dump scroll track, and from the need for technical engineering and study purposes, to derive equations for two track types by using cam design theory (cosine track and linear accretion track). Skip discharging is analysed using discrete element method software, and dynamic simulation of its run is performed using Visual Nastran software. The energy consumption during skip discharging can be calculated from the rope tension obtained by dynamic simulation, and graphs obtained from the simulated results using discrete element method and Visual Nastran software. From this, the study demonstrates that the energy consumption at the cosine track is always lower than that at the linear accretion track, without regard to the property change of a payload depending on grain size distribution.

May 8, 2026

By M. Hao, L. Wang, Y. Yin, B. Yang

This study established a coupled fluid-electromagnetic numerical model to systematically analyzse the effects of molten steel flow, inclusion transport, and temperature gradients on refractory erosion behaviour within an induction-heated tundish. The results demonstrate that increased induction heating power significantly exacerbates both flow-induced erosion and magneto-thermal corrosion of the refractory lining in the channel region. The erosion rate exhibits a linear increase with power, while the wear coefficient follows a power-law relationship. Concurrently, a higher power level intensifies the inclusion collision source term by a factor of ten, substantially promoting inclusion collision, growth, and removal (increasing the removal rate by 14.86%). However, this also leads to a 51.3% reduction in the outlet inclusion particle size. This research provides a quantitative basis for balancing metallurgical benefits (temperature control and improved steel cleanliness) with the longevity-oriented design of refractory linings.

May 8, 2026

By Jeffrey D.S.H. Oke, Craig J. Archibald, Anna P. Perry

Late-stage sill pillar extraction in an orebody experiencing large ground movement relative to the deposit’s footwall/hangingwall presents significant geotechnical challenges that are not well documented in literature. This paper presents a case study of sill pillar extraction in the A154 North kimberlite pipe at the Diavik Diamond Mine, Canada, where progressive, then accelerating vertical displacement occurred during the final stages of underground mining. The A154N orebody was mined using longhole open stoping with cemented and uncemented rockfill and consisted of multiple mining blocks separated by sill pillars. As mining advanced, downward migration of the kimberlite pipe relative to the surrounding granite was observed, with displacement rates increasing during sill pillar extraction. This paper documents the extraction of the A/B and B/C sill pillars, with a primary focus on the B/C Sill Pillar, where geotechnical interaction was most pronounced. Observed ground behaviour, monitoring data, ground control strategies, and operational responses are presented. The development and evolution of sill-pillar-specific TARP is described, highlighting the requirement for an observational, context-driven approach that integrates displacement rates, spatial relevance, and geotechnical inspections. The case study demonstrates that safe sill pillar extraction is achievable when displacement mechanisms are well understood and managed through adaptive monitoring and flexible TARPs. The lessons learned from A154N provide practical guidance for underground operations encountering moving orebodies and emphasize the importance of treating sill pillar behaviour as a distinct geotechnical problem.

May 2, 2026

By Jeffrey Oke D.S.H. Oke, Craig J. Archibald, Anna P. Perry

Underground mining at the Diavik Diamond Mine (Northwest Territories, Canada) commenced in 2003 and has targeted four kimberlite pipe orebodies. The A154 North (A154N) pipe was mined using longhole open stoping with cemented and uncemented rock fill. During the later stages of mining, unique geotechnical challenges developed in the upper portion of the orebody, resulting in difficult ground conditions during secondary stoping. The two uppermost stoping horizons in A154N (A- and B-blocks) were located within the widest portion of the kimberlite pipe and were mined using a multi-panel retreat, overhand primary–secondary extraction sequence. Primary stopes were commonly advanced to near the top of each block prior to the initiation of secondary stoping. Ore development was excavated to full stope width, and secondary development initiated at the base of the block adjacent to mined-out primary stopes resulted in the formation of tall, slender hanging pendant pillars—locally up to 100 m high—laterally supported by frictional contact with adjacent cemented rockfill pillars. Beginning in 2015, differential vertical movements across the ore-waste contact of A154N pendant stope pillars were identified, and the extent and rates of movements increased significantly as secondary stoping progressed through to 2025. These conditions created significant challenges for the safe extraction of remaining stopes and raised concerns for deeper mining blocks if similar methods were maintained. This case study describes the factors contributing to the observed ground behaviour and outlines the strategic mine design modifications and tactical risk mitigation measures implemented to manage geotechnical risk in the remaining A- and B-blocks and to prevent recurrence in lower A154N mining horizons.

May 2, 2026

By David Hatton, Jacques van Wyngaard, Matheus Vilarinho, Neymayer Pereira Lima

The flotation of Brazilian fine iron ore particles presents well-documented challenges, particularly the high entrainment of iron into the quartz (tailings) stream, resulting in significant iron losses and reduced circuit efficiency. This paper evaluates the application of Woodgrove’s Direct Flotation Reactor (DFR®) technology, which has been piloted by Vale as a potential solution to these challenges. The DFR is assessed from a pilot scale and process design perspective, with emphasis on its staged flotation mechanism, energy dissipation characteristics, and concentrate handling mechanism that together collectively enhance the selective recovery of fine iron particles. The DFR’s operation is contrasted with conventional tank cells, highlighting its improved control over bubble-particle interactions, reduced entrainment, and potential for higher selectivity. The DFR pilot plant was used to perform reverse cationic flotation of a quartz-rich froth phase to upgrade the iron ore. Pilot plant results are presented, comparing DFR performance with pilot-scale conventional flotation tests on the same feed material and relevant industrial benchmarks. This paper compares a conventional mechanical cell circuit performance and design with a proposed DFR configuration for two -45μm deslimed size fraction samples, analysing parameters such as footprint, energy efficiency, reagent consumption, and overall metallurgical performance. The findings show that DFR technology has the potential to significantly improve the fine hematite selectivity in quartz flotation for iron ore applications, offering a pathway to increased resource efficiency and reduced losses to tailings.

May 2, 2026

By Christie Myburgh, James Mackenzie, Ross Hammond

Modern mining operations are increasingly characterised by their access to large volumes of data and advanced computational tools. Over the past two decades, the industry has made substantial investments in digital technologies supporting geological modelling, mine planning, equipment dispatch, and process control(Newmon et al., 2010; Paraszczak, 2019). These systems have significantly improved the ability to generate and analyse information across the mining value chain. However, despite these advances, the decisions that ultimately determine operational performance remain largely implicit and unmanaged (Kruger et al., 2023; Jia, 2022). Mining decisions rarely occur in isolation. Decisions made in geology influence resource models, which shape mine plans, production schedules, and downstream processing strategies. These, in turn, affect operational execution. As deposits become deeper, ore grades decline, and operational constraints increase, these interdependencies create increasingly complex decision environments (Newman et al, 2010; Topal, 2008; Darling, 2011; Dimitrakopoulos, 2004). In practice, coordination across these domains often relies on informal communication, iterative meetings, and manual interpretation of analytical outputs. Explicit decision support systems provide a mechanism to capture these dependencies, maintain consistent decision context, and coordinate decision-making across geological, planning, and operational domains (Power, 2002; Shim et al., 2002). This paper argues that a fundamental gap remains in current digital mining systems: while data and analytics are well supported, decision-making itself is not. Addressing this gap requires treating decisions as explicit, structured elements within the operational system. By integrating data, computational analysis, and decision processes, explicit decision support systems offer a way to better coordinate complex, interdependent decisions across mining operations.

May 2, 2026

By Gregory Carli

Mining operations rely on high-duty, mobile and semimobile equipment to move rock, process ore, maintain roads and sustain site services. Typical mining fleets combine loading and hauling assets with production, logistics and maintenance equipment, which are all expected to operate at high load factors, over long hours and in harsh environments. The mining industry is under pressure to decarbonize their operations and to transition to lower-emission technologies. While decarbonization options are well understood for stationary process equipment, challenges remain regarding how to decarbonize heavy-duty mobile emission sources. This article presents the methodology and findings of a structured assessment of low- and zero-emission pathways for mobile mining equipment. The approach is data driven and equipment centric, evaluating technology readiness, commercial and technical viability, and the financial implications of alternative powertrains including battery electric, hybrid electric, hydrogen fuel cell/combustion and low-carbon fuels such as renewable diesel and biodiesel. Supporting infrastructure requirements are also reviewed. Baseline attributes such as engine/motor power, duty cycles, energy intensity and typical purchase price are compiled into an equipment matrix, with alternatives matched by output power to ensure performance comparability. Capital expenditure (CAPEX) and operating expenditure (OPEX) are calculated conservatively from public sources, with OPEX combining energy/fuel costs and maintenance rates that reflect powertrain complexity.

May 1, 2026

By Tanya J. Gallegos, Mojisola A. KunleDare, James V. Jones III, Charlotte E. Riggs

The United States Geological Survey (USGS) provides scientific information for the Department of Interior and the nation, consistent with its original mission expressed in the Organic Act of 1879 (43 U.S.C. 31): “the classification of the public lands and examination of the geological structure, mineral resources, and products within and outside the national domain.” Legislation such as the Energy Act of 2020 and the 2022 Infrastructure Investment and Jobs Act (43 USC 31l) and recent executive actions (Executive Orders 14154 , 14153, 14241 Secretary’s Orders 3417, 3418, 3422, 3436) underscore the importance of mineral resources and focus USGS activities on mapping and assessing mineral resources, with a particular focus on those presently identified as critical, both in ground and above ground in mine wastes. This article reviews selected activities and accomplishments by the USGS Mineral Resources Program related to critical minerals in 2025. Highlights include a new List of Critical Minerals, a first-ever national mine waste inventory, international minerals partnerships, mineral resource assessment advancements, and national data collection activities and outcomes of the Earth Mapping Resources Initiative (Earth MRI). The selected contributions are not comprehensive but are intended to demonstrate USGS leadership in critical mineral mapping and assessment, the importance of domestic and global partnerships, and the breadth of research activities that are responsive to national needs and priorities.

May 1, 2026

By U. S. Geological Survey

In 2025, the estimated total value of nonfuel mineral production in the United States was $112 billion compared with $106 billion in 2024. The estimated value of metal production in 2025 increased by 13 percent to $38.1 billion from a revised total of $33.6 billion in 2024. The total estimated value of industrial minerals production was $73.7 billion, 2 percent more than the revised total of $72.2 billion in 2024 (Table 1). Increases in production of certain nonfuel mineral commodities, along with increases in prices of some industrial minerals contributed to the overall increase in the total value of domestic nonfuel mineral production in 2025. For the industrial minerals sector, the production value of natural aggregates, which comprised approximately 60 percent of the total production value of all industrial minerals, increased by 4 percent even though production volumes decreased by 1 percent in 2025 compared with production in 2024. The largest percentage increases in production value in 2025, in descending order, were for dimension stone, wollastonite, potash, mica and portland cement. The largest percentage decreases, in ascending order, were for high-purity quartz, industrial sand and gravel, lithium carbonate, bromine and boron. For the metal sector, production decreased for several mineral commodities and prices decreased for several metals due to oversupply. Lithium, manganese and nickel had some of the largest percentage decreases in production value.

May 1, 2026