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ADDRESS BY THE PRESIDENT OF THE INSTITUTE (MR. J. G. SYMONS) IN PRESENTING THE AWARD TO ELLIOTT SYLVESTER TIMOTHY O'DRISCOLLTim O'Driscoll comes from a mixture of Irish and Scottish stock. His family on the paternal side settled on land in Western Australia in the middle of the last century. His family on the maternal side were part of the W.A. goldfields scenc, including places such as Kanowna, and the Great Fingal mine, near Cue, where his grandfather lies buried.The combination of land and mining environments may perhaps have contributed to an innate interest in geology shared by Tim and his two brothers, all of whom became geologists.Tim showed an early liking for mathematical and geometric subjects, and in his B.Sc. studies at the University of Western Australia he took a major in mathematics along with geology in 1940.His first job was on the Kalgoorlie Golden Mile, and then at Norseman. After serving as a flying boat navigator in the north and south Pacific theatres in World War II he returned to Kalgoorlie and thence to Broken Hill.

Jan 1, 1977

By R Goddard

An alternative stoping method has been adopted for narrow vein stoping at the Tasmania Mine in Northern Tasmania. Colloquially described as ‘Radial-in-Reef’ (RiR) stoping, the method employs the drilling of radial rings in the plane of the Reef from a drill stub located at the geographic centre of the proposed stope panel.Production from the Western Zone of the Tasmania Reef has been undertaken remotely from the Reef since 2007, after a detailed geotechnical engineering analysis indicated that the integrity of the sill drives could not guarantee an acceptable level of confidence should an anticipated seismic event occur within a radius of 10 m. The key tenet of the remote mining approach was the exclusion of personnel from sill drives once stoping had commenced. The remote mining method had to be ‘retrofitted’ to four existing stoping blocks totalling 11 sill drives which totalled 160 m vertically. The remote mining method proved to be complex, cumbersome and very expensive. However, the ore was extracted successfully.By early 2010, previously developed ore had largely been exhausted and the future development with an orebody open at depth presented the opportunity to review the current extraction method. However, the new extraction method needed to maintain the tenet of excluding personnel from sill drives of active stoping blocks, but seek opportunities to reduce the difficult and costly aspects of the previous method. The new ‘Radial-in-Reef’ stoping reduced the development requirement from six to two drives per ore block. Cost implications aside, the significant reduction in prestoping extraction ratio was expected to also reduce the likelihood of seismicity. Transverse production rings were designed to be drilled radially from a drill stub mined from a mid-stope footwall drive. Stopes totalling up to 7000 tonnes were planned be fired in a single electronic blast. Extraction was designed to take place from a basal sill drive under teleremote operation. At the time of writing, the method was under trial.

Mar 21, 2011

By P Vaikkattil, K Li, J Bullock

Unlocking maximum value is essential when designing a stope and the associated drill and blast packets. This is becoming increasingly important at Olympic Dam as the operation continues to expand south into the new mining areas away from existing infrastructure, increasing operating costs and required capital investment; into areas with less competent ground conditions, requiring smaller stopes and increased interactions. The introduction of Orica’s WebGenTM system is one way in which Olympic Dam can continue to unlock value into the future by decoupling traditional drill and blast limitations. The Lime 390 stope was the first stope at Olympic Dam to trial the new technology on the last blast packet. This paper reviews the drill and blast design of the Lime 390 stope, including the technical and operational challenges associated with the stope and the trial of the Orica’s WebGenTM system for the firing of the last blast packet.

Mar 15, 2021

By L I. Rozman

"There have always been development projects that fall short of expectations. In the last decade, we have seen more than the usual number of mining and oil/gas development projects taking significantly longer to develop and costing materially more than expected. The recent resource-equity market slump proves that investors are now far more cautious about investing new capital in the mineral and petroleum resources sector.What have we learned since 2005? Why have projects missed their targets? Why do investors often feel misled?Valuation of a project and the estimation of value is a more complex process than the evaluation of the merits of project development. The merit of project development can be clear from a prefeasibility evaluation, but this is no reason to skip the rigour of a feasibility study. The valuation of any project that is developed with any added risk should be discounted for this added risk.The development of a project impacts on other stakeholders, and the indirect cost of these impacts can have material implications for the cost structure, time and ultimate valuation of the project for its financial backers. The development of new projects (and thereby supply) can also have an impact on commodity prices, and therefore an impact on returns for financial backers.This paper will provide commentary on the author’s experiences and observations as a project developer and operator for 25 years, before becoming a project financier a decade ago.CITATION:Rozman, L I, 2016. Project evaluation and valuation – an investor’s golden rule, in Proceedings Project Evaluation 2016, pp 31–36 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Mar 8, 2016

By S Robinson, A Turner, R Dale, C Butler

"Sandfire Resources NL- (‘Sandfire’) DeGrussa definitive feasibility study (DFS) identified geometallurgy as a major factor in achieving optimum plant performance at the DeGrussa mine. A geometallurgical initiative was created to proactively investigate this issue, and a key initial achievement was the 2013 paper by Condon et al (2013) on developing a working geometallurgical model from first principles. Significant advancements in Sandfire’s geometallurgical understanding since that publication now shape how information is presented and communicated.The main geometallurgical parameters so far identified as critical factors affecting plant performance are Cu:S ratio, iron sulfide mineralogy, talc carbonate content and sphalerite content. Apart from specific mill strategies, geometallurgical issues have been managed through communication between departments and strategic run-of-mine (ROM) pad management.This paper uses the current theories of geological evolution of the volcanogenic massive sulfide (VMS) deposit at DeGrussa, to discuss the variability between the orebodies C1, DeGrussa (sea floor mounds) and C4, C5 (sub-sea floor replacement) to highlight the different issues each orebody is expected to encounter when processing.A zone of altered low-grade mineralisation surrounds the main orebodies at DeGrussa, referred to as a halo. Talc minerals are often patchy within this halo and often cause significant recovery issues during processing. This halo has been successfully modelled using MgO as a proxy. The ability to model the talc material assists with both identifying potentially problematic zones for processing and geological interpretation of the ore deposits evolution.Early in geometallurgy studies at DeGrussa it became apparent that it would be useful to identify processing performance prior to mining. This necessitated the incorporation of specific sulfide species into the mining block model. These attributes are interpolated from the logged sulfide estimates allowing a clear picture of the abundance of each mineral type within a defined area.In conjunction with the block model a geometallurgical factor (GMF) graph was developed, identifying sulfide mineralogy based upon mineral assays. These two recent additions to the model provide a clear picture of the nature of the ore sources that will be presented to the processing plant.The future of geometallurgy at DeGrussa will see these tools used to aid mine scheduling with a view to further improve processing recoveries.CITATION:Butler, C, Dale, R, Robinson, S and Turner, A, 2016. Geometallurgy – Bridging the Gap between Mine and Mill: a Case Study of the DeGrussa Geometallurgy Program, in Proceedings The Third AusIMM International Geometallurgy Conference (GeoMet) 2016, pp 77–88 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Jun 15, 2016

By B Beamish

The concept of a ‘critical velocity zone’ in the longwall goaf environment for the development of a spontaneous combustion event has been supported by numerical modelling. However, there is no experimental data available for Australian coals to show ventilation effects on the self-heating incubation behaviour of broken coal in the longwall goaf. A preliminary study using incubation testing has been completed on three high volatile bituminous coals (A, B and C) with R70 self-heating rate values of 3.86°C/h, 3.15°C/h and 2.09°C/h and moisture contents of 11.3 per cent, 3.9 per cent and 4.7 per cent, respectively. Mass to flow rates used in the adiabatic oven reaction vessel have been selected to be indicative of a sluggish, natural air leakage and medium ventilation environment. Under a sluggish ventilation flow rate all three coals incubate to thermal runaway in minimum time frames of 2.8–3.1 years, 34–42 days and 79–95 days, respectively. When the ventilation flow rate is increased to natural air leakage, coal A with the highest R70 value and highest moisture content selfheats to 28°C above mine ambient temperature before heat loss takes over due to moisture evaporation. However, both Coals B and C at this flow rate incubate to thermal runaway in a shorter time frame than under sluggish flow. At the medium ventilation flow rate, only Coal B incubates to thermal runaway, albeit after a significant extended period of time. These results show how important it is to determine the heat balance between the coal intrinsic reactivity (as indicated by the R70 value) and moisture content. The results also have implications for the possible location of the ‘critical velocity zone’ and subsequent hotspot development and migration.

Oct 12, 2022

By C Nyoni, T Nguyen, C R. W Seymour, G D. Dempers

Unplanned dilution directly adds cost to production from mining, milling, tailings disposal and administration. Additionally, unplanned dilution decreases the productivity, profitability and may affect the planned life of mine. Identifying and quantifying the potential for unplanned dilution allows optimisation of the mining plan and mining practices to minimise the adverse impact on productivity and the cost of production. The Dilution Rating System (DRS) has been developed to more accurately predict dilution thickness and the variable potential for dilution, from individual stopes to life of mine planning. The DRS utilises the methodology developed for the Mining Rock Mass Model (Seymour et al 2007, Jenkins et al 2009) to generate a three-dimensional dilution rating model, which is then calibrated against stoping performance. Dilution can be predicted more accurately and the parameters affecting dilution can be determined and minimised through improved mining techniques, for example blasting and ground support design. Potential high dilution areas can be identified in the planning stages of the mine and systems put in place to mitigate the risk of excessive dilution. This paper presents the methodology used to develop the DRS and then successfully predict dilution for both the hangingwall and footwall of stopes at the Gara Gold Mine. This has enabled the expected dilution to be more accurately predicted and mitigated where possible thus reducing unplanned dilution.

Mar 15, 2021

Is your company paying taxation on profits which are partly illusory?ò Are unions making wage demands based on erroneous notions of the real level of value added to your companyÆs production?ò Do you receive historic data on profit contributions by different products, or for different market areas, which you feel may be misstated?ò Do you find that cash is not always readily available to pay dividends out of reported earnings because, it is required to finance additional working capital without a real increase in the level of activity?ò Are your planning and budgeting routines hampered by the need to rely on historic financial data which bear little resemblance to what the future may hold for your company?ò Are you able to maintain your business at its optimum operating capability or do you feel each year that it becomes more and more difficult to achieve the same volumes of prdduction at the same level of return on assets employed without having to raise more capital?If your answer to any of these questions is "yes", then it is very likely that Current Cost Accounting (CCA) has something to offer you!characteristics of the mining industry and for single venture mining operations.

Jan 1, 1984

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 F M. Weir, M Fowler

The design of excavations in rock must, implicitly or explicitly take into consideration the influence of small- and large-scale geological structures. For most sites the complexity of a fractured rock mass is best captured using a 3D fracture system model based on field data. A discrete fracture network (DFN) approach involves stochastic modelling of the ‘smaller scale’, nondeterministic structures. For slope stability or tunnelling projects DFN modelling provides a valuable geotechnical tool for characterisation of a rock mass and identification of likely failure mechanisms.This paper presents a suite of the DFN modelling undertaken for the design of a large open pit in Australia. The proposed pit is to encounter a 160?m thick, high strength, sheared shale unit, which overlies a crystalline basement. DFN modelling was undertaken separately for both the shale and basement units. While the model inputs and development for each unit are briefly presented, the focus of this paper is on the various applications of the DFN modelling.A key advantage of the DFN approach for design studies is its probabilistic application to structural analyses and results. Multiple realisations of the same model were generated for both the shale and basement units, with the stability analysis carried out on each iteration. The generation of a large number of DFN models and analyses allow assessment of wedge volume, factor of safety and proportion of unstable slope for a range of conditions. The DFN modelling at the case study site was also utilised for a number of other purposes. For example, investigation of likely fault lengths in the shale unit and combined rock mass and defect failure. The development of this tool has been influential in improving our understanding of fracture networks for excavation design.CITATION:Weir, F M and Fowler, M, 2014. Rock mass characterisation and analysis for excavation design – a discrete fracture network approach, in Proceedings AusRock 2014: Third Australasian Ground Control in Mining Conference , pp 445–456 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Nov 5, 2014

By J de Witte

When used in suitable ground conditions, rock bolts can have advantages over other permanent tunnel lining solutions. Permanent rock bolts offer flexibility in tunnelling profile and rapid rock bolt installation can enable time and cost savings. There are also disadvantages when considering the suitability of rock bolts for permanent support installations. These generally concern achieving the specified durability requirement over the specified design life. By investigating alternate approaches to rock bolt installation, quality assurance (QA), monitoring and design life it may be possible to alleviate some of these concerns.The design and construction benefits that can be realised through the use of rock bolts are primarily related to reducing project program time. This time reduction could be realised if rock bolts are considered as a permanent solution, with the installation being completed as a part of the primary excavation cycle. Any reduction of the program could allow direct and indirect cost savings and in the case of a major project, allow the revenue stream to be realised earlier.Currently ambiguity exists where the treatment of rock bolts as permanent support components is inconsistent with that of (often identical) ground anchors, as utilised in stabilising cut and cover structures. The ground support design process, implementation and testing are generally similar, though the acceptance of rock bolts as long-term support elements is treated differently to ground anchors in technical specifications.This paper discusses some of the benefits available through the use of rock bolts. It offers different solutions to the concerns surrounding durability, including alternate approaches to installation, Quality Assurance practices and monitoring solutions. The selection of an alternate design life is also investigated as another means of alleviating concerns around long-term durability. The paper will also provide an indication of savings that could be expected through the use of rock bolts as part of a long-term support system.

Mar 8, 2011

The future of the United States (US) mining industry will be affected greatly by recent coal mining disasters. These have resulted in new legislation which will have an impact on mining economic costs as well safety and health of miners. This paper discusses the changes that new legislation and regulations are making to the industry and current research that is producing technologies to make mining safer and will likely impact the future of mining.

Jan 1, 2008

It is a great pleasure to accept the invitation to open this Joint Conference of The Australasian Institute of Mining and Metallurgy and the American Institute of Mining, Metallurgical and Petroleum Engineers. It is the second invita- tion to participate in the Conference that I have accepted. When it was being planned, the President wrote to me to invite me to be one of the speakers in one of the technical sessions. I wrote accepting the invitation, and when my present appointment was announced, there was a nice question about the earlier commitment. The upshot of it all is revealed by the present arrange-., ment: you get me as opener and the more sub- k stantial speech is to be given by Professor Rupert Myers, my friend and former colleague who will not only be able to contribute from the standpoint of an experienced University admini- strator, but will also speak from a professional training and experience much more closely relat- ed to the concerns of this Conference than I possess. Though it is a joint meeting and the speakers will include distinguished figures from North America, I hope that since the venue is Australia, I may be permitted to speak with an Australian emphasis. I have recently had a brief glimpse of part of the Australian mining industry. In the course of a journey through the Northern Terri- tory we-my wife and I-visited Gove, Groote Eylandt, and Tennant Creek. At Gove we saw the remarkable Nabalco development in bauxite and alumina and the very impressive town plan- ning development at Nhulunby, the major man- ganese enterprise at Groote Eylandt, and the gold mining activity at Tennant Creek. For lay people like us, a gold pour was arranged at Tennant Creek and that was a spectacular sight. On earlier occasions, and before my present appoint- ment, I had visited Mount Isa and the Utah fields, and Queensland Alumina at Gladstone. I have not seen the cradle of the modern mining industry, using cradle perhaps loosely, at Broken Hill, nor have I seen the great Pilbara develop- ment, nor Weipa. This is not for want of generous invitations and it is my hope that within the not too far distant future this will be rectified. Then there is the Australian petroleum industry and the great industries which make their products from the minerals mined which I have yet to See.

Jan 1, 1978

By S Oliver, D Willingham

"Although a resource model is central to the mineral resource value estimation process (Glacken and Snowden, 2001), creating it is a labour intensive task and in the end it is a limited representation of the actual orebody. Creating this resource model is a labour intensive task that requires inputs from geology, mining, metallurgical and commercial disciplines. It requires thousands of samples from hundreds of drill holes to be verified, grouped in geological domain, interpolated and then valued. Even after all this effort, a model is only an estimation; therefore further significant effort has gone into quantifying uncertainty in the model and subsequently risk around any value estimates derived from the model. Further risks to model quality are introduced through poorly conditioned data or incorrect assumptions.This paper proposes the application of machine learning to automate the resource model development. Machine learning is applied to the traditionally manual tasks of geological formation, domain identification and validation of the block model mineralogy. Through automation the resource estimation process can be accelerated, allowing more drill holes or a larger resource body to be processed in a given time frame, or allowing the process to be more agile to changes in input data and assumptions. A case study based on drill hole data from a Western Australian iron ore deposit (Government of Western Australia, Department of Mines and Petroleum, 2015) is used to demonstrate the application of machine learning in this process.CITATION:Oliver, S and Willingham, D, 2016. Maximise Orebody Value through the Automation of Resource Model Development Using Machine Learning, in Proceedings The Third AusIMM International Geometallurgy Conference (GeoMet) 2016, pp 295–302 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Jun 15, 2016

By Z Li, J Pan, D Zhu, W Zhou

In order to enhance the roasting behaviours and metallurgical properties of hematite pellets, which have the problems of high roasting temperature and low compressive strength, a process of producing Brazilian hematite pellets by adding high sulfur magnetite was developed in this paper, and process parameters have been optimised. It is shown that the roasting temperature decreases from 1320¦C to 1200¦C by adding 30 per cent of high sulfur magnetite. New Fe2O3 crystal oxidised from Fe3O4 is more active, which is beneficial to induration of pellet. When the ratio of magnetite increased to 50 per cent, only about 90¦C of the roasting temperature was decreased. Higher ratio of high sulfur magnetite causes more porosity of pellets because of oxidative desulfurisation, which is harmful to the strength of roasted pellets. The reduction disintegration index (RDI), presently RDI+3.15 of product pellets is aggrandised from 87.79 per cent to 99.54 per cent and 97.55 per cent, and the reduction swelling index (RSI) is lowered from 36.25 per cent to 12.50 per cent and 6.25 per cent respectively, by adding 30 per cent and 50 per cent of high sulfur magnetite. The compressive strength of roasted pellets is elevated obviously by adding high sulfur magnetite, which resists the inner stress of pellets during reduction process, so as to enhance the RDI and reduce the RSI of product pellets. In addition, the inner porosity may be filled by the swelling during the reduction process, which can also lower the RSI. The process provides a low power consumption of making hematite pellets that high sulfur magnetite can decrease roasting temperature significantly and improve the metallurgical properties of hematite pellets dramatically.CITATION:Zhu, D, Zhou, W, Pan, J and Li, Z, 2013. Study on improving roasting behaviours and metallurgical properties of Brazilian hematite pellets by adding magnetite with high sulfur content, in Proceedings Iron Ore 2013 , pp 525-530 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Aug 12, 2013

By A Garvie, D Kentwell, J Chapman

"Most new mining projects require an initial assessment of the locations and volumes of potential acid forming (PAF) waste that is likely to be moved and dumped in surface waste stockpiles. This requires sampling of the waste rock zones and submitting the samples for a series of tests. Key to the outcome of the waste characterisation process is obtaining sufficient samples that are representative of the various rock types both in number and spatial distribution.Various regulatory bodies throughout Australia and the rest of the world are currently struggling with how to define minimum amounts of sampling to achieve realistic estimates without imposing excessive costs and time constraints on a project.This paper addresses two aspects of the process: what constitutes a æsufficientÆ number of samples how to use those samples in determining volumes of likely PAF material.Geostatistical methods of characterising orebodies with large numbers of samples are routinely used in the mining industry by geologists and geostatisticians to estimate and classify Mineral Resources. In theory exactly the same methods can be used to estimate PAF waste locations and volumes.In practice the number and spatial distribution of dedicated PAF waste samples at feasibility stage is typically so small that it is almost impossible to estimate the spatial distribution of PAF material with any degree of confidence at all. Consequently, the common approach is to characterise a few samples from a lithological unit and then assume that they represent the unit as a whole. This approach, however, can be fraught with risk.This paper describes some of the findings of SRKÆs evaluation of several coal projects with respect to PAF waste evaluation and highlights some common misconceptions held by people working in this area that do not have a knowledge of statistics or geostatistics.CITATION:Kentwell, D, Garvie, A and Chapman, J, 2012. Adequacy of sampling and volume estimation for premining potential acid forming waste evaluation using statistical and geostatistical methods, in Proceedings Life-of-Mine 2012, pp 79-88 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Jul 10, 2012

The sulphide ore occurring in the North Mine at Broken Hill is of a complex nature, consisting of an intimate mixture of argentiferous galena, marmatite (zinc-iron sulphide), and gangue minerals. A typical analysis of the ore is:Lead 15.2%Zinc 12.0%Iron 5.3%Manganese 0.8%Copper 0.1%Alumina 0.3%Lime 0.9%Sulphur 11.1%Insoluble 53.8%Carbon dioxide 0.3%Undetermined 0.2%Silver 9 oz. per tonTotal 100.0%The metallurgical practice for the recovery of the lead concentrate and zinc concentrate from the crude ore is briefly described in the following pages.(1) COARSE CRUSHING AND FINE GRINDING OF THE CRUDE OREThe crude ore from the mine, containing lumps to the size of, roughly, 10 in. x 8 in., is tipped over grizzlies with the bars spaced 3 in. apart; the oversize gravitating to a...

Jan 1, 1933

By Richards RG, Cross MS

The development of alluvial mining, processing systems and associated gravity separation technology over the last 30 years is largely linked to the mineral sands industry. Attention has been focussed on Australia in these areas of mineral resource development and technological Advancement.

Jan 1, 1986

By Y Xu, T Rowles, B Dareeju, A Dissanayake

Recent updates on tailings dam design guidelines require analysis of undrained (short-term) stability with the application of the SHANSEP model. The SHANSEP model, which was originally developed for alluvial soils, predicates that the Undrained Shear Strength (Su) increases with increasing effective stress. Residual soils by their nature do not necessarily follow this relationship. This paper examines an alternate method to define Su over a range of effective stress conditions for residual soils. Residual soils, formed by weathering of their parent rocks, are generally micro-structured in nature. The microstructural features, such as interparticle bonding, play a fundamental role in stress-strain behaviour of the residual soils. As interparticle bonding is independent of effective stress and void ratio, the undrained shear strength of residual soils is expected to be less dependent on effective stress than alluvial soils, especially at low stress levels. A series of triaxial tests conducted on residual soils, however, indicated that the undrained shear strength and the undrained shear strength ratio (Su/σv’) are to a degree dependant on effective stress. It was found that the undrained shear strength ratio is significantly higher under low stress levels and progressively reduces with increasing effective stress. Based on the laboratory testing data, a strength function with varying undrained shear strength ratios can be developed for the residual soils under the stress range anticipated for a design of a tailings dam. This includes capping the input undrained strength at lower effective stresses based on the drained (effective) and minimum undrained strength. The Factor of Safety (FOS) calculated for the embankment utilising the traditional limit equilibrium (LE) method indicated the application of undrained strength function for the residual soils can provide a significant optimisation for the embankment design compared to adopting a constant undrained shear strength ratio or constant undrained shear strength in the design.

Jul 1, 2021

By W Patton

Investment decisions in the mineral resources sector are made on the basis of an assessment of the economic potential for a mineral deposit. Given the supporting information for the location, scale, and quantity of the commodity of interest, miners and investors aim to make risk-informed decisions when considering further investment. The objective of resource classification is the synthesis of various types and quantities of geologic information used in resource model construction to assign confidence categories to the estimated mineral resources, which can then be used to support informed economic decisions. In this paper a risk-based classification scheme for iron ore mineral resources using conditional simulations is presented. The method involves categorisation of each block according to a confidence level, considering expected recoveries from a kriging model over mining production volumes. The realisations of the simulated model are used to assign risk-based confidence categories to zones of the ore deposit. One motivation for this work is to assess the sensitivity of the scheme to geologic uncertainties. Specifically, that which uncertainty in the layout of mineralising alterations and weathering overprints influence variabilities of associated rock properties and the likelihood of obtaining expected ore recoveries. It is shown these risks have material implications for a project’s economic potential. How the scheme can be extended to the grade control context and the value subsequent grade control activities is also quantified.

May 24, 2023