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By M Allen

Energetics has been in the business of climate change for more than twenty years. This experience has only served to cement the understanding that decisions taken during design define the environmental and economic performance of any project. The 80-20 rule definitely applies, with 80% of a project’s performance being set through the first 20% of design decisions. This in depth knowledge is used for determining energy price forecasts, future carbon markets and carbon costs, current and future energy technologies, as well as giving a thorough understanding of the processes and technologies in place in the mining industry to work out what the most carbon and energy sensitive decisions during design are. Project selection and design is a gated process where decisions are taken in line with the information available at that point in the evolution of the project. Design decisions are, by their nature, dominated by uncertainty. In order to ensure that robust decisions are taken, it is necessary to ensure that the correct information is brought to bear at the correct decision point. This then defines and supplies the necessary carbon and energy information for design decisions to be correctly made. One of the most significant risks facing design engineers and decision makers in the mining industry is the future cost of energy. Part of this risk is associated with a future cost of carbon, however, a significant part of this risk is the cost, and variability in this cost, of the energy itself. This paper investigates the information required to support good decision taking during the design process.Project Managers and MetPlant Operators accept poor quality evaluations because they are generally unaware of what they should expect.The 2010 draft AusIMM ‘Guidelines for Techno-Economic Evaluations’ were collated by a subcommittee of practitioners and are regarded as best practice.They apply directly to projects and metallurgical plant evaluations, including those with a heavy technical basis. They can be applied to technical problem solving where there are no monetary computations.Project Managers and MetPlant Operators should demand that economic models and evaluations follow the six principles. They should become working tools which are easy to understand, fit for purpose, consistent, rigorous, record sources of input data, have key graphs and are rapid to audit.

Aug 8, 2011

By Lloyd F, Arnold D. A, Hagan T. O

This paper investigates the problems that are encountered in mining at extreme depths. It looks into the rock mechanic aspects, especially the high stress levels that will occur, and the hazard of rockbursts. Furthermore, environmental problems are discussed, with refrigeration and reduction of neat loads being major methods of maintaining ,sorkable conditions. The paper concludes that it will be of tmost importance to have a planning team of Tne highest quality to ensure that conditions are maintained so that work can be carried out safely and under reasonable conditions.

Jan 1, 1986

By R Steinhaus, D M. Frantois-Bongarton, P W. Cleary, G K. Robinson, M D. Sinnott

Multotec Process Equipment and Dominique Frantois-Bongarton have a patent for a mineral sampling device, which they call a æTrue-Belt SamplerÆ. This uses a plough, which is rotated about an axis parallel to a conveyor belt to throw material off the belt. A fixed sample cutter takes a sample from the material thrown off the belt.Discrete element modelling has been used to consider a range of plough designs, plough speeds, positions for the cutter relative to the plough, cutter apertures, cutter designs and frictional properties, prior to the building of a physical prototype. This modelling work will be discussed, both as an illustration of the role of modelling in the development of new materials-handling devices and in order to explain the likely strengths and weaknesses of this new type of sampling device.CITATION:Robinson, G K, Sinnott, M D, Cleary, P W, Steinhaus, R and Frantois-Bongarton, D M, 2012. Modelling of a ætrue-belt samplerÆ - A new device for sampling from a conveyor belt, in Proceedings Sampling 2012 , pp 33-40 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Aug 21, 2012

By A Whaanga, W Vigor-Brown

IGO Ltd’s (IGO’s) Nova-Bollinger Deposit (Nova-Bollinger) is a magmatic nickel-copper-cobalt (NiCu-Co) sulfide deposit found 160 km east-north-east of the town of Norseman in Western Australia (WA). The deposit is hosted by the Mesoproterozoic rocks of the Fraser Zone, which is part of the Albany Fraser Orogen (AFO). Since mining commenced in 2016, IGO’s Nova Operation (Nova) has mined and processed to 31 December 2020, 5.63 Mt of ore grading 2.04 per cent Ni, 0.86 per cent Cu and 0.07 per cent Co. Nova’s mine geology team (MGT) has used commercially available implicit modelling (IM) and general-purpose resource modelling (RM) industry software systems, to prepare the 31 December 2020 (CY20) update of Nova-Bollinger’s JORC Code reportable Mineral Resource estimate (MRE). This CY20 MRE update was predominantly based on ~386 km of diamond core drilling, with the drill holes having a nominal grid spacing of 12.5 by 12.5 m throughout the mineralised zones of the deposit. Using IM tools, Nova’s MGT interpreted and modelled 22 separate domains from the drill hole logging, assaying results, and the MGT’s underground mapping. These IM closed volumes were then used to control the estimation of MRE variables into conventional industry digital block models using RM and other ancillary software systems. During 2021, a commercial machine learning (ML) software was trialled by Nova’s MGT for preparing block models of Nova-Bollinger’s MRE domains. The motivation for the trial was that the ML process could expedite modelling through the direct creation of a domain coded block model from the drill hole logging. Compared to the industry standard approaches of wireframing or IM, where the modeller usually makes many subjective choices to produce the domain model, ML offers a more objective ‘hands-off’ process for determining the connectivity of domains defined in drill holes. Additionally, the ML process provides a quantitative confidence metric associated with its output that may have utility in mine production and resource classification. In this paper, the results of the Nova-Bollinger ML modelling trial are compared to the MGT’s current workflow for MRE work. The MGT’s conclusions as to the advantages and disadvantages of the IM and ML methods for preparation of MRE domains are discussed. The ML software was also tested as a method of rapidly interpreting geology outside the principal zones of MRE interest. These testing results are also presented in this paper.

Mar 22, 2022

By B Stewart

The SRS-1200 concept came about following the recommendations from the Board of Inquiry into the 1994 Moura No 2 mine disaster with the aim of having a system to remove personnel from an unsafe environment underground via a shaft where no other means of escape is possible. It is a mobile rescue unit that utilises a winding system to operate a man cage. It can descend the cage up to 1200 m into a vertical shaft. This operation is managed from the winder control compartment located on the non-driver side at the rear of the vehicle.

May 5, 2022

By N J. Goodman

The HIsmelt technology was developed and proven in Western Australia (WA) after more than 30 years and several billion dollars of research and development. The HIsmelt technology was transferred to China and is now successfully operating at the Molong plant in Shandong Province, China using WA iron ore fines as the major feedstock. Several more plants are under construction in China, and the technology has been approved by the Chinese Government as an environmentally acceptable alternative to the blast furnace. The unique flexibility of the HIsmelt process offers multiple pathways to decarbonise the production of steel in the near future. These pathways include:  Use of sustainably grown biomass converted to Biochar to replace coal as the reductant.  Pre-reduction of iron ore fines using hydrogen or biomass to direct reduced iron (DRI) powder.  Capture of carbon dioxide from the HIsmelt off gas and geo-sequestration underground. These pathways are highly suitable for the Australian iron ore industry as they utilise:  The large areas of land and long growing season available in Australia for the production of large tonnages of sustainably grown biomass.  Coarse iron ore fines directly without the need for fine grinding and pelletising.  Existing oil, gas and other underground gas reservoirs to store carbon dioxide. The HIsmelt technology will allow Australia to transition from ‘Asia’s quarry’ to Asia’s supplier of low cost, low carbon and high quality metallics that are required to produce ‘green’ steel with net zero carbon dioxide emissions. In addition, HIsmelt pig iron can be converted locally into steel via electricarc or basic-oxygen steelmaking furnaces to supply all of Australia’s demand for green steel.

Nov 8, 2021

By Skinner W, Netting A. K O

Surface analysis of ore samples collected from corresponding concentrate and tailings process streams is now a widely used tool in many Australian base metal sulphide concentrators, particularly those involved in AMIRA projects. The use of tec

Jan 1, 1997

By E A. Gunn, J Zhou

In this paper a project to develop a joint optimisation/simulation model for production planning in a mine-mill complex is presented. The system involves a mill receiving ore from a number of different locations, each with a unique mineral composition. The mill consists of several crushing and grinding circuits that function in series and parallel. Scheduling the flow of materials through the mill is complex due to constraints on throughput imposed by the millÆs design, the length of time material can be stockpiled on the surface, varying input mineral composition, and throughput targets for a range of output products.An optimisation model is used to create a set of campaigns (ore feed rates) over a given planning horizon under the assumption of deterministic mill throughput. A simulation model is used to evaluate the production plan under assumptions of stochastic machine failure and operational losses created by the need to cycle between input feeds. Campaign scheduling has two important implications for the simulation. First, during any campaign, multiple ore types may need to flow through the mill. However, the mill must be controlled to ensure that only one type of ore can be in a crusher, a grinder or a storage bin at any point in time. Second, as the mill switches from one campaign to another, the set of ores being processed may differ. Thus, the flow of ore through the equipment during a campaign changeover must be controlled to ensure that one or more of the ores from the current campaign can be completely eliminated before the ores from the new campaign are introduced.The simulation architecture employed for this project is Visual Basic for Applications (VBA) combined with MS-Excel as a user interface. A fixed step discrete event orientation is assumed as the simulation framework. A set of model constructs was built for the project with a specific Canadian milling operation in mind, but was designed to be representative of a broad class of milling operations. The constructs are implemented as class objects within the VBA structure, each with a number of properties and methods. The collection of VBA objects forms a composable modelling toolkit. These objects can be linked together by users, via MS-Excel, to represent a broad range of milling operations.

Sep 26, 2011

By D R. Anstey

The mining of magnetite iron ore in Western Australia will generate large volumes of waste rock and tailings over many decades. The need to dispose of these materials will result in massive waste landforms that will require significant planning and management. The formation of comparable man-made landforms is relatively common, as exemplified through past practice in gold and iron ore (haematite) mining. Unfortunately, the performance of these landforms, with respect to long-term stability (erosion resistance), the release of low pH seepage water and aesthetic impact, has commonly been disappointing and environmental legacies have been created as a result. Lessons that have been learnt from past, large mining operations indicate that there is a need to rethink the methods of waste disposal and landform development applied to magnetite mining. The environmental compliance criteria applied to magnetite mines for the storage of tailings and waste typically include minimising dust generation (particularly as the tailings and mine waste may contain asbestiform minerals), control of silt, minimising visual intrusion and management of potentially acid forming materials. In addition, the climate of Western Australia and the paucity of both surface and groundwater in the vicinity of the magnetite mines frequently necessitate water consumption to be minimised. This paper discusses the potential to co-mingle magnetite mining waste streams in a variety of ways to concomitantly satisfy the environmental compliance criteria and the operational requirements of the mine. These methods include co-mingling of coarse tailings and waste through dry-stacking, deposition of tailings as a paste, co-disposing of all wastes to form an integrated landform and the co-mingling of all waste streams to produce PasteRockTM (a blend of tailings paste and crushed waste rock). The paper demonstrates how these techniques can be applied to the magnetite mining industry to provide better outcomes than might be achieved using more conventional techniques, currently employed in large-scale mining operations.

Jan 1, 2009

The N3500 orebody is the northern continuation of the 3500 orebody at Xstrata Copper's Enterprise Mine and occurs at a depth of 1.3 to 1.8 km. At the nearby S3500 orebody, extreme deformation was observed in access drives where there was a high number of bedding planes per metre combined with either graphite or talc infill. The observed failure mechanism was largely controlled by the geometry of the inclined bedding submitted to high horizontal stresses. Due to the anisotropic strength and deformation behaviour of the shale rock mass, traditional isotropic methods of geomechanical property estimation based upon GSI are not appropriate. A numerical modelling approach, based upon the distinct element codes UDEC (2D) and 3DEC (3D), has been developed to accurately simulate the failure mechanisms and deformation observed in the initial infrastructure surrounding the N3500 orebody.

Nov 25, 2010

By B Tessier

Checking the quality of a blast may be considered as subjective. Checking this quality will require measuring objective parameters. One of them is the resulting fragmentation of the blasted product. Numerous fragmentation æmeasuringÆ systems have been developed and marketed, based on image-processing. This presentation of FragScan will illustrate advantages and difficulties when using such a system. FragScan is essentially defending a policy of large and representative sampling. The purpose is to show how fragmentation is discriminating both productivity and profit of quarry operations on a blast-by blast basis. The next step will then be to ædriveÆ the blasting process to reach a æbetterÆ fragmentation. Other applications require the fragmentation as an essential result: this is the case for large boulders used in structure-reinforcement. Several case-studies have shown that FragScan can be used for quality-control, checking size-distribution of the product according to the requirements of the end-user. Only clear thinking about the precise use of such a æmeasurementÆ will further the success of this task.

Jan 1, 2001

By B A. Webler, P Su, P C. Pistorius

Advanced high-strength steels (AHSS) typically have much higher aluminium concentrations (by an order of magnitude or more) than conventional low-carbon aluminium-killed steels. The resulting lower oxygen activity at the steel-slag interface changes the kinetics and thermodynamics of steelslag reactions. Previous work showed that the rapid transformation of alumina inclusions to spinel inclusions, and spinel to periclase, occurs because of the relatively high concentration of dissolved magnesium. In this paper, experimental results on nitrogen removal by ladle slag are compared with predictions based on the available thermodynamic databases. As in previous work, the kinetics was modelled by assuming mass transfer control, with steel or slag mass transfer limiting. The results show that significant removal of nitrogen by steel-slag reaction is possible.

Aug 21, 2024

By F Radke, P A. Tilyard

Determination of the mineralogical location (deportment) of minor and trace elements (including credit and penalty elements) in base metal concentrates can indicate whether further processing is likely to (a) reduce the levels of the penalty elements, and/or (b) direct selected elements into other plant products, thereby increasing current concentrate grade or increasing payment for credit elements. To determine the deportment of elements requires knowledge of the proportions of the minerals present and their individual element contents. In addition, knowledge of the liberation and locking is important, as this can affect any possible further processing. Mineral proportions can be determined by a variety of methods including chemical analysis, point-counting, area-counting, QEM*SEM, image analysis and mineral separation. In the case of a Broken Hill zinc concentrate, several of these methods were used and gave consistent results.

Jan 1, 1998

By G Harbort, D Zoetbrood

"The Phu Kham copper-gold operation in the Laos People’s Democratic Republic (PDR) is owned and operated by Phu Bia Mining Limited. PanAust Limited holds a 90 per cent interest in Phu Bia Mining Limited, with the remaining ten per cent held by the Laos PDR Government.The original 12 Mt/a copper-gold concentrator at Phu Kham commenced production in April 2008. An incremental improvement program resulted in a number of circuit changes being incorporated by 2011, including conversion of conditioning tanks to flotation cells and the installation of a Jameson Cell cleaner scalper. In 2012 the Phu Kham Upgrade Project was commissioned to increase throughput to 18 Mt/a. In April, 2013 the Phu Kham Increased Recovery Project was commissioned to maximise performance by debottlenecking the plant IsaMill™ regrind and cleaning capacity.With the variable mineralogy of Phu Kham ore, control of the c concentrate regrind circuit is essential in terms of achieving effective liberation to maintain concentrator performance. On a routine basis laboratory regrind signature plot data is compared with daily surveys of the operational IsaMills™. More extensive surveys are also conducted to determine size distribution on a mineralogical basis and the effect of fine regrinding on pulp electrochemistry and flotation performance. This paper provides a review of the operating performance of the Phu Kham IsaMills™ with regard to power draw, feed and product size distribution, feed per cent solids, mineralogy and pulp electrochemistry. Operating performance is compared with the IsaMill™ signature plot test for predicting performance.Citation:Harbort, G, Zoetbrood, D and McNab, B, 2016. Operating Performance of the Phu Kham IsaMill™, in Proceedings 13th AusIMM Mill Operators’ Conference 2016, pp 39–50 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Oct 10, 2016

By S J. Schafrik, M Long

There are several factors that are increasing the need for new graduates to be ready to design and manage more autonomous operations at mines. Autonomous controls and systems range from the start-up, control, and shutdown of processing plants to the autonomous operation of vehicles. These operations require the workers, engineers, and management to have additional skills for programming, debugging, tasking, and maintaining the equipment. The future survivability of many mining operations will be influenced by a company’s willingness and ability to understand, accept, and utilise this technology for safe and productive operations. This is an educational opportunity and challenge that needs to be addressed throughout the student’s experience, from first year to graduate level. This paper discusses the lessons learned from a decade of multidepartment effort at all student levels and many courses that are able to incorporate data science, controls, and autonomous design into the already topic-rich national curriculum. This approach also exposes other engineering disciplines to the mining industry which is a valuable recruiting tool for talent outside of the mining engineering departments.

Sep 1, 2024

By P Tobar

The development plan (long-term plan) of El Teniente Mine, Codelco-Chile, includes 100 per cent primary ore, located at increasing depths, which may involve several difficulties related to the application of the current panel caving method, such as a high seismicity level, a coarse fragmentation and ore pass damage. Therefore, it is a strategic priority for the El Teniente mine, to design and to test alternative mining methods, at similar or lower costs to ensure an efficient and safe ore extraction. In this context, the Macrotrench method is developed, as a competitive alternative to the current method. The document describes the panel caving method, the experience achieved in the primary ore exploitation from the geomechanical point of view. It also describes the æmacrotrenchÆ method as an alternative to the current exploitation method. Finally, the comparative advantages of macrotrench in relation to panel caving are presented. The results obtained during the engineering stage include the following aspects:the mining design, the material handling, a geomechanical evaluation of the method, and a comparative analysis.

Jan 1, 2000

By E R. Ramanaidou, M A. Wells

Reflectance spectroscopy is now an established technique for mineral exploration and ore characterisation. The efficacy of the technique as a tool to characterise the main iron ore and gangue mineralogy at African Minerals Ltd’s Simbili iron ore deposit in north-central Sierra Leone was tested through reflectance spectroscopic analysis of 13 000 pulped drill reserve samples using CSIRO’s HyLogger-1™ system. Specifically, integration of reflectance spectral data with more traditional methods of analysis, such as geochemical analysis and Satmagan measurements, characterised the mineralogy (ie hematite versus goethite) of the oxidised ore at Simbili, quantified the Al associated with goethite and hematite and evaluated the distribution of the main gangue minerals – kaolinite and gibbsite. Relative changes in the Fe2+/Fe3+-bearing oxide and silicate mineralogy, based on mineral indices derived from reflectance spectroscopic measurements, appeared well-related to changes in the ore profile mineralogy consistent with the main ore types identified at Simbili, as representative of an oxidised banded iron formation sequence. Spectral calibration models, developed from a well-characterised training set of mineral mixtures, representative of the oxidised ore zone mineralogy were used to quantify the distribution of Al associated with kaolinite and gibbsite and the iron oxides, goethite and hematite. Combining these mineral spectral parameters with compositional data enabled the differentiation of Al-substituted goethite and hematite and resulted in the identification of low Al-bearing, or ‘clean’, goethite and hematite from high Al-bearing, or ‘dirty’, goethite and hematite. Spectral quantification of the iron oxide Al composition provides a far more rapid means of quantifying the Al substitution in iron oxides at the deposit scale compared to traditional techniques such as X-ray diffraction analysis. It also enables a level of volumetric characterisation and the potential for large-scale (ie three-dimensional) mapping, which was not previously possible with other techniques. The potential of the technique was also highlighted when mapping the distribution of the main Al-bearing contaminants (gibbsite and kaolinite) identified in the oxidised ore zone at Simbili. Delineation of such zones provides a guide to managing the most appropriate processing options (ie upgrade potential) within a mineralogical framework. Three-dimensional modelling of the gangue phase distribution may also allow the mapping of lithological and/or structural controls that may be prevalent at Simbili. This work highlights the value in the application of HyLogging™ technology for rapid resource characterisation, particularly for volumetric identification and mapping the distribution of both the economic and gangue phases, which otherwise would be difficult to achieve. As such, the technique can provide a fast and inexpensive means to evaluate ore and gangue mineralogy at the deposit scale and provide a first-pass assessment of the mineralogy and compositional attributes, with the potential to better predict ore metallurgical properties.CITATION:Wells, M A and Ramanaidou, E R, 2015. Waste not, want not – delving deeper into the Simbili iron ore deposit using HyLogging™ scanning technology, in Proceedings Iron Ore 2015, pp 337–346 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Jul 13, 2015

By A Horeth, E Duggan, B Versiani, A Gooch

Iron ore screening plant productivity is strongly affected by the performance of the shuttle operation, with the control system robustness and associated strategies having a direct impact on utilisation and throughput rates. A number of aspects intrinsic to the methods and technologies traditionally applied on the motion control of shuttles are often observed to decrease the efficiency of the ore distribution process across multiple screening modules, which ultimately impacts the plant’s production. Those include the number of operational scenarios that are unmanaged by conventional discrete control logics which may intermittently lead to undesired events, such as ‘high level alarms’ and ‘low level interlocks’ in the screening bins. This outcome usually demands excessive manual intervention by Control Room Operators. A Reinforcement Learning (RL) Artificial Intelligence (AI) solution was deployed to control the motion operation of the scalping and products screening shuttles in an iron ore handling plant. The RL algorithm was trained in advance to handle multiple operational scenarios and generate optimised outputs. In nominal operation, the shuttles are moved in a modulating and highly predictive fashion over the whole range of safely reachable bins. When the need occurs, the AI control agent deviates from that modulation behaviour, limiting its travel range or moving to other groups or clusters of available bins by employing ‘bin jumping’ or ‘ore break’ strategies. The RL platform capabilities include the ability to learn in real time to account for and auto-adapt to new operational patterns and process changes whilst applying improved strategies for shuttle dwelling times, target setting and speed control. The deployed Reinforcement Learning AI solution has better managed the existing challenges associated with the shuttle operation and control, and resulted in a more efficient ore delivery process, superior operations stability and increased production rates.

Nov 8, 2021

By Y Zhou, Y Liu, J-P Yang, P Wang, K Hu

"Large-scale mine reclamation has taken place recently in response to the implementation of mining regulations in China. Effective monitoring of the progress of reclaimed land is a critical procedure to assess the quality of reclamation program and to ensure that mining enterprises fulfill their reclamation responsibilities. The present paper reports a preliminary study that examines the situation of mine land reclamation monitoring. Based on the monitoring, some general requirements for mined land reclamation have been proposed, including: the monitoring should be systematic and comprehensive the monitoring should be adapted to specific local conditions the monitoring should be reasonably optimised via scientific methods and technology the monitoring should stick to a variety of national technical criteria.The aim of land reclamation monitoring is to evaluate changes of critical indicators closely reflecting the development trend of the reclaimed mined land, to develop or improve the criteria and technical parameters specific to the site, and to prevent secondary environmental degradation. Based on these requirements and aim, the monitoring should cover the progress of reclamation, establishment of vegetation and plant community development; and recovery of land and water quality in the reclamation area. Regulatory measures are proposed which would improve the work of mine reclamation monitoring in terms of regulation, organisation and financial support.CITATION :Wang, P, Yang, J-P, Zhou, Y, Hu, K and Liu, Y, 2012. The primary framework for the mechanism of the mine reclamation monitoring in China, in Proceedings Life-of-Mine 2012, pp 47-50 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Jul 10, 2012

By N Setoudeh, A Nosrati, N J. Welham

The current surge of interest in lithium (Li) is due to the anticipated demand for electric vehicles and small scale power storage. Brine deposits contain most of the global Li resource, however hard rock deposits can be more readily and rapidly developed and comprise the majority of proposed projects. These projects plan to use the conventional processing routes of dense medium separation and / or flotation to produce a spodumene concentrate for sale. The standard route for subsequent processing of spodumene concentrate is thermal decrepitation, acid leaching, solution purification and precipitation of lithium carbonate. This is typically followed by further purification. A number of projects have ores which contain other lithium minerals, principally micas, lepidolite and zinnwaldite, necessitating an alternative treatment route. Several different routes for spodumene processing are under development to reduce costs to compete with brine projects. This paper will give an overview of the strengths and weaknesses of the current and alternative processes.CITATION:Welham, N J, Nosrati, A and Setoudeh, N, 2017. Lithium ore processing – an overview of the current and new processes, in Proceedings MetPlant 2017, pp 185–194 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Sep 11, 2017