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By Riley S. J

Ranger Uranium Mine is located within the Alligator Rivers Region of the Northern Territory of Australia and surrounded by the World Heritage listed Kakadu National Park (Figure 1). The mining operation is currently producing about 1500 tonnes of uranium oxide annually, as well as considerable volumes of waste rock, low grade ore and tailings. The rehabilitation of the project should ensure that the radioactive mill tailings and other contaminants remain contained for at least 200 years, as required by the existing guidelines (Commonwealth of Australia, 1987). The present uranium mining operation is regulated by the Northern Territory Department of Mines and Energy who must refer to the Environmental Requirements when considering regulatory options. These Environmental Requirements were agreed by the

Jan 1, 1994

By J Chen

Research conducted into backfill drainage at Mount Isa Mines since 1992 is described. Piping in draining backfilled stopes has been the primary cause of bulkhead failures and emphasis is placed on research into the piping mechanism. Laboratory and in situ tests aimed at understanding the piping mechanism have been conducted and the results are presented. A case history of piping in a draining bench stope fill mass is described and a technique for reducing the potential for bulkhead failures in bench stopes is presented. Hydraulic fill is produced by standard cycloning of tailings and the overflow (reject material) is sent to thickeners prior to placement in the tailings dams. Research into the partial introduction of thickener underflow into the backfill system and its influence on backfill drainage is also described.

Jan 1, 1998

By B Zhou

Geophysical borehole logging, which measures various in situ petrophysical parameters, can be used not only for qualitative interpretation such as strata correlation, but also for geotechnical assessment through quantitative data analysis. It can play an important role for safe and productive mining operations. Here we provide various applications of geophysical logs such as the estimation of the strength of intact rock or unconfined (or uniaxial) compressive strength (UCS), automated lithological/geotechnical interpretation, geophysical strata rating and orebody delineation and grade estimation. These derived parameters could provide input to control of geological and geotechnical models. This could assist site geologists and planning and production geotechnical engineers to predict and manage mining conditions on an ongoing basis. Both conventional logs such as density, natural gamma and sonic, and less common logging data such as full waveform sonic and televiewer data are examined for different applications. Although the examples used here are mainly for coal mining applications, but they can be equally applied to hard rock metalliferous mining such as iron ore mining.

Nov 8, 2021

By J Mauk, J Rowland

The Karangahake epithermal Au-Ag mine consists of two main lodes, the Maria and the Welcome/Crown hosted in Miocene andesites. Mineralisation is strongly constrained to major structures and is genetically linked to dynamic tectonic processes. Two main periods of faulting are represented in the deposit: 1. NE striking right-lateral/normal oblique linked spatially and temporally with the mineralising system, and 2. ESE striking right-lateral/normal oblique post-mineral faulting that displaces the lodes. Paleostress analyses performed on a limited kinematic data set indicate NW-SE extension during the formation of the vein system. Veins and lodes strike NNNE and accordingly contain a strike-slip component. The kinematics of vein formation at Karangahake is broadly consistent with that of other deposits within a NNE-trending belt of deposits. Oblique shear on deflecting structures will create zones of compression and dilation. Dilatant zones created on steep structures create fluid pathways potentially focussing large volumes of fluid from deep parts of the system into dynamic structures.

Jan 1, 2003

By S KandT

The FalTmT iron ore deposits are located in the so-called æBirrimianÆ volcano-sedimentary complex that extends in a general NE-SW direction across eastern Senegal and part of Mali and Guinea. The rocks underwent folding and greenschist facies metamorphism, as well as various events of granitoid emplacement. The deposits form part of the DialT-DalTma Series of the Birrimian Supergroup and were subjected to contact metamorphism. The Fe-mineralisation occurs as primary magnetite within the metamorphic aureole. Supergene oxidation (martitisation) of this mineralisation produced the hematite-rich iron deposits that can be seen as prominent hills across the plains of this south-eastern corner of Senegal. BRGM of France and Miferso (SociTtT des Mines de Fer du STnTgal-Oriental) have conducted several phases of prospecting since 1957. Their aim was to delineate the hematite deposits and to assess the grade, beneficiation characteristics and marketability of the iron ore. A feasibility study by Fluor Daniel was completed in 1992. Results indicated that, at the time, the resource could not compete in the international arena in terms of size and accessibility. The growing iron ore market and additional available resources in the area now challenge the 1992 feasibility study results and put the old kid back on the iron ore block. The project faces some mining challenges, such as the amount of magnetite in the hematite product that will be acceptable to the market. Previous project evaluations only considered the secondary hematite deposits as economically viable. It is therefore important to accurately delineate the magnetite/hematite contact zone to optimise the resource tonnage. Project logistic constraints also exist in terms of railway access and harbour facilities. The resource is, however, well situated for the European iron ore market and aims to find a place in the rapidly expanding iron ore seaborne trade.

Jan 1, 2005

By M Hilden, G Forbes, Z Ye, M Yahyaei, F Reyes, V Jokovic

Soft sensors offer several practical advantages for the process control of comminution circuits by combining multiple conventional sensors and other data sources with real-time analysis using mechanistic, phenomenological or machine learning models. While there has been a growth in the use of machine learning techniques for developing soft sensors in minerals processing applications, this paper describes advantages and challenges of using soft sensor models developed on the basis of process knowledge. Recent experience with three new soft sensor technologies developed by the authors are discussed. The Mill Filling Inference Tool which has been implemented at several mine sites, compares SAG mill load cell and power draw measurements with outputs of a semi-mechanistic power model to estimate the mill ball and total filling in real time. The progressive wear of the mill liners is modelled, allowing the model to correct the load mass due to the mass loss automatically and to estimate the charge trajectory. This information enables the mill to be operated more confidently near its limits. A coarse-ore stockpile soft sensor as been recently developed using a 3D cellular automata-based model to track ore size throughout the pile, and estimating the live capacity and size at each stockpile feeder to the primary mills. Finally, a hydrocyclone soft sensor is being developed to monitor performance using available hydrocyclone models to estimate the size and flow balance around the cyclone in real time. The model-based soft-sensor approach aims to synthesise and analyse existing data and provide operators and engineers with process- and model-relevant information that can facilitate making better process decisions. Maintenance data has proven useful for model development as it allows soft sensors to automatically adjust and compensate for the effect of progressive wear, for example for mill liners, thus helping the models to maintain calibration throughout the equipment life.

Aug 24, 2022

By R H. Yoon, M Gupta, A Noble, K Huang

Froth flotation is the most commonly used separation technology in the mineral industries. Given the complexity of the pulp and froth phases as well as the multitude of operational parameters that influence flotation performance, purely fundamental models with strong predictive capacity are limited. As a result, accurately modelling modifications to an existing flotation circuit are challenging, particularly when using empirically-derived models from a different operating configuration. Despite these complexities, a recent publication by the authors (Huang et al, 2022) has shown that flotation rates can be accurately predicted from a first-principles model that incorporates hydrodynamic parameters (eg pulp density, superficial gas velocity, feed flow rates etc), surface chemistry parameters (eg contact angle, zeta potentials and surface tension), and size-by-class liberation data. Circuit simulations using this model were shown to be effective in predicting experimental graderecovery curves from the size-by-class mineral liberation matrix. Since the model is derived from fundamental characteristics of the flotation system, it can be used to simulate alternative circuit configurations with varying degrees of recycle. Conventional flotation circuits are operated in a closed-circuit configuration by routing the cleaner scavenger tails (CST) back to the rougher feed to provide an additional opportunity to recover the slow-floating particles. This widely-used flotation strategy has been under constant debate, and several researchers have provided evidence that open circuit configurations provide higher separation and better circuit control (Konigsman, 1985; Bulatovic et al, 1998; Thompson, 2016). Recently, Finch and Tan (2021), used linear circuit analysis to show that open circuit configurations have a fundamental advantage when stage recoveries are high. Given the limitations of these prior studies, the objective of the current work is to further evaluate the merits of the open circuit configuration through a detailed circuit analysis and simulation study incorporating the first principles model described above.

Aug 24, 2022

Exploration for uranium in Australia has so far discovered reserves equal to 17.5% of the Western World's. The Australian uranium industry, when fully developed, will be one of the largest producers and possibly the largest exporter in the world. The world's nuclear industry is young, rapidly developing in size and technology and is subject to more social, political and regulatory controls than any other industry. This paper considers the probable development of Australia's uranium industry against a background of normal commercial parameters together with other factors which are peculiar to the nuclear industry. As the theme of this conference is "Australia's role in the World Mineral Indus- try" this paper concentrates on the commercial and practical aspects associated with the development of Australia's uranium resources in a world context.

Jan 1, 1979

By G V. R Goodman, G J. Chekan, J M. Listak

The extraction and transport of coal from underground coal mines can result in significant liberation of coal and/or silica dust into the mine atmosphere. Mine operators have long used ventilating air as a primary means of diluting generated dust, removing dust from the working faces and preventing dust from reaching the minersÆ working environment. As production levels have increased, mine operators continue to be challenged in maintaining dust concentrations below compliance levels. The need for maximising the effectiveness of available ventilating air in conjunction with other effective controls, such as water sprays and dust collectors, continues to be critical to the long-term health of mine workers. The National Institute for Occupational Safety and Health (NIOSH) has conducted full-scale laboratory and mine-site research to evaluate improved application of dust controls for both longwall and continuous mining methods. A summary of recent research results and recommended practices will be provided.

Jan 1, 2005

By R O. James

The usual focus of papers on fatty acid collector action in non-sulfide flotation is on the adsorption of the carboxylate and/or neutral molecule species at the mineral-solution interface. Little attention is paid as to whether or not the solution conditions correspond to true solutions, micellar and other self-assembly objects or precipitates. Our examination of the solution chemistry of the important fatty acid collector, oleic acid, has revealed that many, if not most investigators set their experimental conditions to be in micellar or precipitate domains while arguing, often by implication, that they have only solute species present. We have investigated the equilibrium solution domains usually encountered in studies of oleic acid flotation of such minerals as barite, calcite and fluorite. The alkaline earth-fatty acid and liquid oleic acid precipitate phases exert a strong influence on the solution chemistry, a fact not often appreciated in many studies.

Jan 1, 2005

By P Salmon, M Kennedy

Sun Metals Corporation Pty Ltd (SMC), a wholly owned subsidiary of Korea Zinc Co Ltd (KZC) is a company formed to develop, construct and operate a zinc refinery, 11 km south of Townsville in North Queensland. The project opportunity exists because of on-going consumption growth for refined zinc metal, technological, environmental and economic obsolescence of existing zinc processing plants, and a prolonged ædroughtÆ of new zinc processing capacity under construction. The Project will utilise proven technology developed by KZC at the Onsan refinery in Korea. The Townsville Refinery has been designed to be the most environmentally-friendly zinc refinery in the world, and in particular to resolve the issue of secure, long term treatment of the ironbearing content of the zinc raw materials.

Jan 1, 1998

By C A. Thomas, J C. Eardley, G V. Franks

As valuable minerals are more disseminated, there is a need for low-grade ores to be finely ground to liberate these valuable minerals. However, this has a negative impact on ultrafine mineral recovery as conventional separations processes such as gravity separation are no longer effective. Instead, fine particles can be recovered by froth flotation. Various novel reagents have been introduced along with development in flotation cell designs such as Jameson cell and column cells to improve performance and recovery of ultrafine valuables. This study, on the other hand, aims to recover the fines using a combination of commercially available reagents to selectively flocculate the valuables, so they are large enough to be recovered via conventional froth flotation cells. This technique if successful can be implemented in many existing industries that continue to use mechanical flotation cells that require particle sizes to be 50–150 μm for effective recovery (Ralston, 1992; Batterham and Moodie, 2005). Selective flocculation is not widely implemented in industries mainly due to the inability to float the aggregates ones they are formed and gangue entrapment within the aggregates which consequently affects the grade of concentrate recovered (Forbes, 2011). The major goal is to aggregate the minerals and float the aggregates unlike the more common industrial technique such as reverse flotation of hematite, where the aggregates itself is not recovered via flotation.

Aug 24, 2022

By D Reid, A Fourie, J Ayala

This paper discusses cone penetration test correlations for loose gold tailings that were developed within a critical state soil mechanics framework. The development of a new calibration chamber for cone penetration testing that consists of a modified triaxial cell is described. Some of the early development and commissioning issues that were encountered, as well as the solutions adopted are outlined, including the system to prepare the samples and to acquire high-quality data from the testing. Also, the triaxial laboratory testing required to achieve the critical state line is described, including some of the basic precautions considered necessary as good practice. Additionally, the system adopted for volume tracking of the calibration chamber sample is described, which is essential for ensuring a reliable state parameter comparison against the acquired cone penetration test data. Finally, some laboratory test data from the calibration chamber is plotted against the soil behaviour type charts currently available from various authors.

Jul 1, 2021

The basic model for the evaluation of any coal-bearing property is the cash flow projection, the major components of which are operating costs, capital charges, taxation and revenue. A range of cash flow projections can be produced by varying the assumptions which underlie the operating costs, by assuming various forms of capital funding, by making assumptions as to future taxation and by speculating upon the present and future market value of the product. As for any model, the informational inputs and assumptions are vital because, no matter how sophisticated the processing, the informational inputs and assumptions cannot be improved by it. That is to say, the validity of the output (the total evaluation itself) cannot be of greater certainty or significance than that of the inputs. The total evaluation can of course be expressed in a number of ways such as the Discounted Cash Flow (D.C.F.) Rate of Return, the Net Present Value or, the Payback Period. The foregoing statement may seem trite. However, it is necessary to be clear about it so as to avoid unnecessary complication and a preoccupation with techniques as opposed to the informational inputs and assumptions. So far as techniques are concerned, much has been written and said about them during the last decade. Most of us have heard, if not always understood, something about probabilistic models, Monte Carlo simulation, sensitivity and risk analysis to say nothing of inflationary costing and the relative merits of developing cash flows in terms of current or constant money. Those techniques have their value, particularly if they can serve to illuminate conclusions which could not be reached on a simple and even perhaps on an intuitive basis. I am, however, reminded of one major coal mining project in which 20 or more major variables were identified, many cash flow projections were run on the computer and a detailed sensitivity analysis was carried out. The major conclusion reached was that the D.C.F. Rate of Return was predominantly sensitive to variations in selling price and operating cost. Of course, the funding and fiscal elements of a cash flow projection have to be dealt with as rigorously as possible. However, in the development of any coal property, capital requirements and taxation are, in part at any rate, dependent upon the assumed operational parameters. If the latter are misjudged, the whole evaluation process is deeply affected. The same is true of revenue, in the sense that, the positive cash flow is a function of output as well as selling price and again, misjudgements about achievable and maintainable levels of production also deeply affect the final evaluation. I shall try to underline the fundamental influence of the technological factors upon lead times, capital costs, operating costs, taxation, funding and the achievable and maintainable levels of production. In turn, these affect the whole question of coal property evaluation and indeed, the likely success or failure of any coal mining venture. I make no apology therefore that this paper does not set out to discuss the more esoteric aspects of the evaluation process but rather, directs attention towards some of the informational inputs and assumptions which merit clarification and discussion.

Jan 1, 1975

By Stanojevic R, McGlinn PJ, Day RA, Levins DM

This paper reports the results of a number of studies that Ansto has carried out for mineral sands companies concerned about low-levels of naturally-occurring radioactivity in their products. Where measured levels of radioactivity have exceeded allowable levels, Ansto has used specialised techniques to identify the source and distribution of the radioactivity and investigated processing strategies to remove the Contamination.

Jan 1, 1993

By N B. McCaffrey, V Glenn, C Johns, P D. Erskine, A T. Fletcher

"Underground coal mining is the dominant method of extracting thermal and coking coal in the southern and western coalfields of New South Wales. Monitoring mining-related subsidence forms an important component of environmental impact assessments and subsidence management plans, particularly when there are conflicts between the interests and requirements of mining and environment and community groups. However, there are few specific guidelines for monitoring the impacts of subsidence on terrestrial and aquatic ecosystems, leading to inconsistent policy approaches and highly variable abilities of monitoring programs to accurately detect biological change.This paper highlights the use of a conceptual framework to guide the development of a long-term ecological monitoring program at an underground coalmine in the Western Blue Mountains, New South Wales. Two pilot studies are described: determining the level of observer agreement to assess the condition of a vulnerable tree species (Capertee Stringybark) comparing field sampling methods for detecting a rare heath shrub, Epacris muelleri, using a power analysis to determine sampling intensity requirements.These examples demonstrate that investment in initial pilot studies to test different monitoring approaches can have long-term benefits for stakeholders by more confidently being able to detect potential impacts.CITATION:McCaffrey, N?B,?Glenn, V, Erskine, P?D, Johns,?C?and Fletcher, A?T, 2014. Detecting long-term ecological impacts of subsidence from underground coal mining – a tale of two pilot tests, in Proceedings Life-of-Mine 2014, pp 139–152 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Jul 16, 2014

By K Koskinen, S Ronkainen

The flow field induced in an Outokumpu TankCell and by an OK rotor-stator mixing device in a laboratory and a process size flotation cell was modelled numerically using computational fluid dynamics (CFD). The primary target was to discover and reproduce the various interactions between the flow field and the flotation cell by numerical means. As power consumption depends sensitively on flow field, it can be regarded as a top-level derived quantity (or measure/metric) indicating the validity of the numerically obtained flow field. Having properly validated numerical means to produce the flow field the influence of various design parameters can be captured with certain accuracy. In addition, separate gas and solid phase models for bubbles and solids, respectively, were implemented. The comparisons between velocities and turbulence quantities measured using the laser doppler velocimetry (LDV) technique and CFD modelling were performed. The grid generation was performed with the commercial Gambit 1.3 and the subsequent integration and solving of the resulting algebraic equations with the commercial CFD-code Fluent 6.22. The computationally economic multiple reference frame method was included to model the moving rotor blades. Gas and solid phase models were modified mixture models.

Jan 1, 2005

By F Jullian, L Jofre

Many maintenance managers find it difficult to justify investments in maintenance improvement initiatives. In part, this is due to a tendency by mine managers to regard maintenance purely as a cost centre, and not as a process able to influence productive capacity and profit. It is also hindered by a lack of alignment between commonly used maintenance performance measures and key business drivers, and the lack of formal business training amongst maintenance professionals. With this in mind, a model to assist maintenance managers in evaluating the benefits of maintenance improvement projects was recently formulated. The model considers four cost saving dimensions. These are: 1. reduction in the cost of unplanned repairs and maintenance,2. increased or accelerated production and/or sales,3. spares inventory reduction, and4. reduction in over-investment in physical assets and operating costs. This paper discusses the application of this model and a number of numerical examples are given to justify investments in maintenance improvement projects having varying objectives.

Jan 1, 2006

By S C. Dominy

Current and proposed methods of resource classification relate to the geological, economic and technical confidence in the estimated resource. Geological confidence is, however, only vaguely defined. It is largely related to the level of drilling and sampling, to the geologistÆs perceived level of confidence in his/her work and on the continuity of the mineralisation. Rarely has any real attempt been made to assess how well a deposit has been explored, sampled and evaluated and how accurate or realistic the geological model is for the deposit. This contribution reviews the impact of two of the potential sources of error, ie sample recovery and quality. The first of these parameters is measured during logging and assaying, but is often forgotten during grade and tonnage estimation, and resource classification. Preliminary studies have shown that modelling of this parameter is a valid exercise, which should accompany the evaluation of grade and other economic parameters. The sample recovery factor for an ore block can then be used to reassess the confidence in the block. It could, for example, downgrade the status of a Measured Resource to an Indicated Resource even though standard methods might indicate that the higher classification is applicable. A method is proposed by which this recovery factor could be incorporated into current resource classifications producing a more sophisticated and comprehensive measure of sample quality. A review of the sources of error naturally leads to the assignment of scores to each stage of the evaluation process, depending on the methods used and assumptions made. Sample recovery is one important factor, which is likely to appear at several stages. These scores can then be weighted and combined in a manner resembling that used in the CSIR Rock Mass Classification. This score will then allow the resource estimate to be rated on a scale from 0 to 100 per cent to produce a Quality Control Index (QCI). However, this index must then be modified using an Evaluation Difficulty Index (EDI), which reflects the difficulty of a particular style of mineralisation to accurate resource estimation. This results in the production of a Resource Reliability Rating (RRR), which can then be linked to international classifications, such as the 1999 JORC; 2000 CIM; and 2001 EURO codes. This will permit a more precise definition of geological confidence levels or, combined with estimation error, produce a classification system in its own right. This same rating can also be used as the basis for technical audits of mineral projects.

Jan 1, 2002

By G J. Jameson, A Agarwal

This paper is concerned with the observation and analysis of bubble clusters in a laboratory flotation cell. A device was used in which bubbles were allowed to rise in clean water containing the same frother and collector concentration as in the cell. Bubble clusters were recorded using a high speed camera and analysed using an image analyser. Dodecyl amine was employed as a collector to float silica. The effect of impeller speed on the cluster behaviour was investigated. The results were interpreted in terms of cluster diameter and shape factor. The sizes of the bubbles forming the clusters were also measured and compared to the sizes of the independent bubbles in the cell. It was found that there was an optimum impeller speed in which the cluster diameter was a maximum. Higher agitation and the consequent higher power inputs resulted in cluster break-up while lower shear rates promoted cluster formation.

Jan 1, 2005