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By Alok Porwal, E. J. M. Carranza, M. Hale

Abstract- Approaches to mineral potential mapping based on weights of evidence generally use binary maps, whereas, real-world geospatial data are mostly multi-class in nature. The consequent reclassification of multi-class maps into binary maps is a simplification that might result in a loss of information. This paper describes results of using multi-class evidential maps in an extended weights-of-evidence model vis-à-vis results of using binary evidential maps in a simple-weights-ofevidence model. The study area in the south-central part of Aravalli province (western India) hosts a number of SEDEX-type base metal deposits in Proterozoic supracrustal rocks. Recognition criteria for base metal deposits were represented as both multi-class and binary evidential maps. The known mineral deposits were divided into two subsets, viz., the training and the validation subsets. The training subset was used to calculate, for the evidential maps, the weights, contrasts, and posterior probabilities and their variances. The distributions of expected frequencies of base metal deposits estimated from the posterior probabilities and the observed frequencies were compared using standard goodness-of-fit tests to verify conditional independence of the input evidential maps. The posterior probabilities from both the models were mapped and interpreted to classify the study area into zones favorable, permissive, and non-permissive for base metal deposit occurrence. As compared to the simple weights-of-evidence model, the extended weights-of-evidence model results in more robust and finely differentiated posterior probabilities in favorable and permissive zones and has a better prediction rate. The results also reveal that the statistical properties of the weights of evidence, the contrasts, and the posterior probabilities are not significantly degenerated by using multi-class evidential maps in weights-of-evidence modelling.

Jan 1, 2001

By G. E. Parsons

"The Bidgood is a small gold mine about 5 miles east of the main Kirkland Lake camp. Since the beginning of production in 1934, gold having a value of $5,000,000 has been produced from the property. Practically all of this production has come from seven veins in a diorite stock that intrudes the Timiskaming sediments and lavas of the area. The veins consist of quartz, pyrite, and molybdenite with minor amounts of chalcopyrite, calcite, and tellurides, and occupy northeast striking and northwest dipping thrust fault fractures. They have no apparent direct structural association with the faults of the main Kirkland Lake camp or the Larder Lake 'break' to the south; however, the veins closely resemble the former in their mineralogical composition and in their close association with syenite intrusives.ROCK TYPES AND THEIR STRUCTURAL CHARACTERISTICSThe dominant and, from an economic standpoint, most important rocks in the ore area consist of two separate families of Algoman intrusivesa diorite and a later syenite group."

Jan 1, 1954

By Jean-Guy L. Gauthier

"With the Ontario Ministry of the Environment stipulating that the cumulative concentration of copper, lead, zinc and nickel in mine mill effluent must be no greater than 1.0 milligram per litre, it has become necessary for the mining industry of find some form of treatment for the removal of heavy metals from effluent waters.To comply with these guidelines, it became necessary for Mattabi Mines Ltd., which is situated 50 miles Northeast of Ignace in Northwestern Ontario, to develop a compact, cost effective and technically sound treatment process to remove heavy metals from their tailings overflow. A design committee consisting of mine metallurgists, environmental engineers, a Dutch research and development team and the equipment supplier engineering staff was set up to accomplish this.Using some new and innovative wastewater treatment equipment, the guidelines established by the Ontario Ministry of the Environment can now be met. The sludge produced from the precipitated heavy metals is sent directly to the concentrator, thus eliminating the danger of re-dissolution of the metals in a landfill site, while recovering some of the valuable metals that would otherwise be wasted in a sludge landfill."

Jan 1, 1980

By A. Khodadadi, M. Abdolahi, P. Taimory

Cyanide is used by the mining and chemical industries in tremendous quantities without attention being given to its hazardous properties. The use of cyanide compounds in mining is one of the most important environmental issues for the mining industry due to the acutely toxic properties of many cyanide compounds to humans and aquatic life. Cyanide tends to react readily with most other chemical elements, producing a wide variety of toxic, cyanide-related compounds and because cyanide is carbon based an organic compound it reacts readily with other carbon-based matter, including living organisms. This research is aimed at investigating a feasible and economical technique for the removal of cyanide from tailing wastewater of Muteh gold mine. In this research, removal from Muteh factory's waste water, was achieved at Tarbiat Modares University's mineral processing laboratory through the oxidation of cyanide by calcium hypochlorite. Cyanide oxidizes and changes to cyanide (CNO-) which is 1000 times less environmentally hazards than cyanide. Cyanide titration was accomplished using Rhodanine solution and silver Nitrate. Cyanide concentration in the wastewater, was 270 mg/L. Cyanide removal was achieved at an optimum pH of 12.3. However, at higher temperatures, cyanide removal was complete at this pH level. Optimum Dosage for complete removal of cyanide using calcium hypochlorite was 1.43g/L.

Jan 1, 2005

By Michel Ruel, Ali Soltanzadeh

This paper describes how to make advanced control choices when difficult processes need improvement. The decision-making process involves choosing between a rules-based approach and a model-based approach as well as weighing benefits and drawbacks, complexity and simplicity, investment and results. This paper will present briefly each solution: basic control, advanced regulatory control, model predictive control and expert systems such as fuzzy logic controllers and neural networks. Three examples are presented: ARC (Advanced Regulatory Control) on pH in a comminution circuit, MPC (Model Predictive Control) for combustible management and FLC (Fuzzy Logic Control) on a Semi Autogenous Mill. The article then proposes a decision tree for selecting the most appropriate approach. A table will compare usage, development, commissioning, maintenance and lifecycle costs for each approach. Finally, conclusions and suggestions will summarize the methodology.

Jan 1, 2014

By T. A. Apelt, B. J. Elliot

"In September 1993, the flash furnace at Kalgoorlie Nickel Smelter, KNS, was brought off line after almost 12 years of operation. This is a record campaign life for a flash furnace. The furnace was' totally rebuilt and the capacity of the plant increased from 540 000 tpo to 750 000 tpa of concentrate throughput. The throughput increase was' achieved through the construction of a 525 t/day oxygen plant and upgrading of various plant ancillaries. A number of significant design modifications were also built into the flash furnace and oxygen enrichment was implemented in the operation of the Peirce-Smith converters.This paper discusses the rebuilding of the flash furnace and design modifications made to furnace equipment and ancillary plant. Some preliminary post-startup operating data are presented.IntroductionIn September 1993, Campaign 6 of the flash furnace was concluded and the furnace brought off line for rebuilding. The campaign length was almost 12 years and set a new record for campaign length. Planning for the rebuild took place over the last five years of the campaign. A number of modifications to the design of the furnace and the ancillary plant were planned to coincide with the furnace rebuild. The furnace was rebuilt and recommissioned in 70 days. The increased plant capacity of 750000 tpa has been achieved by the construction of a 525 t/day oxygen plant and modifications made to ancillary plant which centred around increased p~ control, efficiency and hygiene. This paper examines the development and implementation of the modifications made to the furnace and ancillary plant. Preliminary post-shutdown performance data are presented."

Jan 1, 1995

By E. Wusaty

"Fording Coal is a wholly owned subsidiary of Canadian Pacific Limited. The company was founded in 1968 to mine metallurgical coalfor export at the Fording River operations in southeast British Columbia.Today, Fording Coal Limited also operates the Whitewood mine under contract to TransAlta Utilities and the Genesee mine under a joint venture arrangement with Edmonton Power. Both these operations are located just west of Edmonton and produce subbituminous low-sulphur coal which is used for power generation. Fording also owns and operates two industrial mineral mines in the United States and is mining overburden under a lo-year contract with Syncrude Canada at Fort McMurray.As of December 1992, Fording Coal Limited owns and operates the Greenhills mine which was closed due to bankruptcy. This papers deals with the innovations and changes which have been made and those which are currently being implemented to make this operation competitive in the world export coal market. IntroductionOn December 4, 1992, following a tendering process, Fording Coal was awarded 80% controlling interest in the Greenhills mine by Trustee Arthur Andersen Inc. Assets acquired included 100010 of the land and coal leases and 80% of the major joint venture assets including all structures. The remaining 20% is owned by Pohang Steel Canada Ltd., a wholly owned subsidiary of Pohang Iron Steel Co. of Korea. The Greenhills mine had been in continuous operation since 1983 and was finally closed due to bankruptcy of its majority owner on October 31, 1992.A permit to operate the Greenhills mine was issued by the British Columbia government on January 29, 1993, and Fording Coal Limited started mining operations in late February 1993.To return the Greenhills mine to profitability significant changes were required in workforce productivity, mining methods and equipment selection. These mine plan changes are designed to make the Greenhills operation competitive in world markets, provide longterm employment for the company's workforce and ensure that a secure supply of coal is available."

Jan 1, 1994

By Terry Aben

Outline ?Review of standards that can be used to identify current coating conditions and optimal points to perform coating maintenance. ?Identify how standards can be used to extrapolate the future condition of coatings to achieve predictive maintenance planning. ?Demonstrate how the above can be combined with project estimating to generate a data driven, quantitative, predictive, risk-based asset integrity maintenance program for Protective Coatings. The Value of Asset Integrity Programs ?Maximize the benefit produced from the investment in maintenance spending. ?Get the best bang for your buck! ?Don?t perform maintenance work before it is necessary ?Money is invested early with no increase in the service life extension. ?Don?t delay until it is too late. ?Planned Maintenance is far less costly than Reactive Maintenance. ?Identify the Optimal Point for Maintenance.

Nov 1, 2011

"This paper discusses the use of risk assessment and risk management techniques within the Australian underground coal mining industry, within the context of geotechnical risk. The industry works within a pro-active, “enabling” legislative framework, where companies and management apply a range of risk assessment tools as part of their everyday management processes. Different geotechnical risk factors and approaches are reviewed, together with application examples – ranging from mine planning and design, operations, and accident investigations.A particularly powerful resource in each of the above stages of geotechnical management is the RISKGATE system. RISKGATE is an assembled “body of knowledge” structured under different topics across the Australian coal industry, of which three topic areas address rock mechanics issues for both the underground and surface mining sector. This paper will provide an overview of RISKGATE in the context of risk-based rock mechanics applications in underground coal mining."

Jan 1, 2015

By P. J. van Staden

Several differences exist between the columns used for laboratory simulations of heap leaching and commercial heaps. Column walls support part of the weight of the ore and restrict the particle packing arrangements. Columns are typically of a diameter that is smaller than the dripper spacing to be used on the commercial heaps. The stacking practices that cause segregation and stratification on heaps are absent from columns. Intuitively, these physical differences would be expected to be the reasons behind the observed differences between column and heap leaching performance. But how can they be quantified, and what is the magnitude of the differences? Could some of these differences be built into column leaching experiments in order to better simulate commercial-scale heap leaching performance to ease the scale-up calculations from column leaching data? Alternatively, could heap construction practices be improved so that the ideal performance obtained in columns could be emulated on heaps? Data from a few heap leaching cases studies that permit direct comparisons between column and heap leaching performance is analysed, to reveal the extent of the differences in resistance to mass transfer. Discussion is provided on the implications for column and heap leaching practice, and for scale-up design procedures. INTRODUCTION Differences have been known to exist between leaching performance observed in laboratory columns and that of commercial-scale heaps. Both the heap leaching kinetics and finally achievable extent of extraction are generally found to be inferior in heaps compared to that achieved in columns. Heap leaching design engineers extrapolate the anticipated heap leaching performance by multiplying the time-axis of a column-leaching curve by a factor of about 2 and the extraction-axis by a factor of about 0.8, as explained by Jansen and Taylor (2002), Scheffel (2002), John (2011) and Scheffel, Guzmán, and Dreier (2016). The procedure is illustrated in Figure 1 by means of a hypothetical example. The solid line represents the leaching performance observed in a laboratory column, and the dashed line represents the anticipated leaching performance of a heap, extrapolated from the column leaching data using these empirical scale-up factors.

Jan 1, 2019

By Tedd E. Lister, Andre Anderko, Peiming Wang

Mobile electronic devices such as smart phones and tablets are a significant source of valuable metals that should be recycled. Value metals in phones are gold, palladium, silver, copper, cobalt and nickel. Devices now contain increasing amounts of rare earth elements (REE). Effective recycling schemes should include the recovery of these critical materials. Targeted recycling of items containing more of the less available critical materials could address their future criticality. This presentation will describe an electro-hydrometallurgy approach to efficient recycling of metals from scrap mobile electronics. The electrorecycling (ER) process generates oxidizing agents at an anode while reducing dissolved metals at the cathode. Development of the process involved generation of E vs pH diagrams, complemented with metals dissolution experiments used to assess the effectiveness of various solution chemistries. Although several schemes were envisioned, a two stage process has been the focus of work: 1) initial dissolution of Cu, Sn, Ag and magnet materials using Fe+3 generated in acidic sulfate and 2) final dissolution of Pd and Au using Cl2 generated in an HCl solution. Results from laboratory work will be discussed.

Jan 1, 2014

By John F. Vynne

This paper will discuss several of the systems and processes that have been developed over the past few years, and are now being utilized by major mining companies on draglines in North America, Australia and South Africa. These technologies include production monitors and reporting systems, GPS navigation systems, structural integrity monitoring systems, structural analysis studies to increase the dragline RSLs, and inspection and response strategies. The use of these technologies provides significant increases in dragline production, and reduces maintenance costs and downtime. The question that needs to be asked is what value is there in monitoring? Increasing dragline productivity is dependent upon to two items with the overall goal being to maximize the number of bank cubic meters moved and to uncover more coal: 1) maximizing payload and 2) maximizing the number of cycles. If you do not measure and try to optimize the parameters that impact payload and number of cycles, there is very little chance that you can improve overall dragline productivity. These parameters are: Maximizing payload is dependent upon the following: ? Geology ? Blasting ? Monitor weighing accuracy ? Engage location ? Disengage Location ? Rigging ? Suspended load ? Bucket characteristics ? Operator skills ? Minimizing rehandle Maximizing the number of cycles depends upon maximizing digging time, and minimizing cycle and delay/down times by: ? Minimizing Operational Delays ? Minimizing Mechanical Delays ? Minimizing Idle time ? Minimizing Walking time ? Minimizing Fill Time ? Minimizing Swing Angle ? Maximizing Swing & Return Rates ? Minimizing Spot Time A third reason to monitor, conduct structural analysis studies, and have inspection strategies is to prevent catastrophic failures such as shown in the following photographs (figures 1 & 2).

May 1, 2008

By André Desbiens, Frédéric Flament, Lionel Ryan

"In December 1991, the GRAHM (Groupe de Recherche sur Jes Applications de L'informatique a L'industrie Minerale), of Laval University started a KBAC (Knowledge Based Automatic Control) grinding project with Falconbridge Ltd. The project was shifted to the Kidd Creek concentrator in the summer of 1992, with the first phase involving the collection of data by GRAHM and Falconbridge personnel for the construction and tuning of a dynamic simulator. This grinding circuit dynamic simulator known as DYNAFRAG was used to assess various control strategies, with a PID-based strategy being selected for ease of installation on a Foxboro II A DCS.The ""B"" primary grinding circuit was chosen for the initial strategy development, which is one of three parallel divisions. The KBAC project was successfully completed in November 1994, with subsequent modifications being implemented by Kidd Creek staff.This paper summarizes, the current control strategy, the project costs, and the realized benefits. Some of the problems which were encountered with the initial installation, and the subsequent modifications are also dealt with in this paper.2.0 IntroductionIn the summer of 1992, the GRAHM of Laval University and Falconbridge Ltd. started a project to design a control strategy for the ""B"" grinding circuit at the Kidd Creek Division. Between 1992 and 1994 several papers have been written to describe the control objectives, the methodology followed, and some initial results (Flament, 1994A, 1994B). Since then, however, the control objectives changed, and several improvements were made to the circuit. In particular, maximizing tonnage was no longer a priority, a variable speed drive pump was installed on the cyclone feed, the ball mill power was lowered, and the geometry of the cyclones changed. As a consequence, the control strategy was revised. Table 1 summarizes the historical developments on the ""B"" division grinding control."

Jan 1, 1996

By Bahri Öteyaka, Ali Uçar, Oktay Sahbaz

"A Jet Diffuser Flotation Column (JDFC) is a newcomer flotation device whose operation principles similar with Jameson cell but it has an essential change in downcomer. By taking into account the hydrodynamic and fluid mechanic principles (Sahbaz et al. 2013) downcomer was changed as a diffuser, therefore turbulence at the end of the downcomer was reduced to provide better aggregate stability and homogenous dissipation of the bubbles in the separation tank. Thus the performance increase has been aimed for the coarse particles.According to theoretical results, obtained by the formula of Oteyaka (1993) showing the relationship between velocity gradient and maximum floatable size for the various contact angles, the d50 of quartz flotation of JFDC is about 240 µm and 310 µm for the contact angle of 50° and 60°, respectively. This result was verified by the experiments. According to the experimental results; d50 which was accepted the maximum floatable particle size of quartz flotation of JFDC was about 256 µm and 300 µm for the contact angle of 50° and 60°, respectively.INTRODUCTIONFlotation is a kinetic process used for separation of hydrophobic particles from hydrophilic particles. There are many different parameters affects the success of the flotation and particle size is one of them. While the flotation is very efficient for intermediate size, the efficiency of the process starts to decrease for both fine and coarse sizes (Trahar, 1981; Muganda et al., 2011). Therefore; researchers have tried to find a solution for the efficiency decrease in fine and coarse sizes by modifying the chemical condition and designing the new devices. For example, Jameson cell is a unique device for the fine particle flotation due to the suitable design and fine bubble producing (Jameson, 1988; Evans et al., 1995; Sahbaz, 2010). Because of this success operation the Jameson cell is applied more than 200 flotation plants in worldwide. On the contrary, the efficiency of the cell decreases for coarse particle flotation due to the turbulence occurred in the separation tank (Sahbaz, 2010; Cowburn et al., 2007). That’s why, new flotation device was designed in loboratory scale by Sahbaz, Oteyaka and Ucar in 2010s and it has been called as Jet Diffuser Flotation Column (JDFC) recently."

Jan 1, 2016

By Yufeng Yao, Robert P. Lowell

Abstract - Conductive heat flow anomalies associated with hydrothermal sulfide mounds on the seafloor have been studied. Sulfide mounds tend to focus conductive heat flow because sulfide minerals have a greater thermal conductivity than country rock. The topography of the mound above the seafloor, however, leads to a reduction of heat flow, particularly near the center of the mound. Because the focusing effect is constant, whereas the topographic effect decreases with distance away from the center, the focusing effect dominates toward the edges of the mound. The magnitude of these effects depends upon the conductivity contrast and the height/radius aspect ratio of the mound. Conductive heat flow anomalies at sulfide mounds also result from fluid circulation within the edifice. For the active and relict mounds at the TAG hydrothermal field, which have an aspect ratio of approximately 0.3 and a conductivity contrast of 3, the heat flux through the center of the mound should be roughly 70% of the background heat flux. The maximum effect of heat flow focusing is to increase the heat flux by about 30% above background. By comparing these effects with conductive heat flow data at TAG, we find that advective processes dominate conductive heat flow at both the active and relict mounds. Advective circulation can also give rise to much larger lateral and vertical temperature gradients than would result from conduction alone.

Jan 1, 1999

By Robert A. Creaser, Iain Mitchell, Robert L. Linnen

Abstract - The Bermuda Zn-Pb showing is hosted by dolomitized Blue Fiord Formation of Devonian age, located east of the Ensorcellement dome on the Grinnell Peninsula of Devon Island. Fluid inclusions in hydrothermal calcite indicate that the mineralization precipitated from low-temperature, highly saline brines. The ?34S compositions of sphalerite, galena, and marcasite range from 16.1‰ to 35.2‰. Consequently, the Bermuda showing is interpreted to be Mississippi Valley-type (MVT) mineralization. The apparent age of mineralization has been determined by the Rb-Sr method from sphalerite separates, and a Late Devonian age of 357 ± 50 Ma (MSWD=65), with an initial 87Sr/86Sr ratio of 0.7083 ± 0.0020 is indicated. This date, within error, is the same as the Polaris deposit. This suggests that the mineralization formed during the Ellesmerian Orogen, although it is also possible that mineralization is associated with extension, related to the opening of the Sverdrup basin. The strontium and sulfur isotopes and fluid inclusion analyses indicate the involvement of a brine that acquired its salinity from interaction with evaporites, lower in the stratigraphic succession. The Polaris mine is the type deposit in the Cornwallis Zn-Pb district and is hosted by the Thumb Mountain Formation. The results of this study are significant because they demonstrate that regional brine movement is more widespread than previously recognized, and that MVT mineralization in the Cornwallis Zn-Pb district is not restricted to the Thumb Mountain Formation.

Jan 1, 2004

By F. Rosenblum, P. Spira

"A correlation has been established between the oxygen demand of Brunswick Mining and Smelting ore and flotation results at the bench, pilot plant and operating plant scale. A method of dete""1llining the aeration requirement of sulphide ores on the basis of this correlation is presented. It is shown that abraded iron from grinding media plays an important role in aeration and flotation. Laboratory grinding must therefore be conducted under controlled conditions with suitable grinding media in order to obtain the true aeration requirement of the ore.A method of evaluating aerator efficiency, also based on oxygen demand measurements, has been used successfully at Brunswick Mining to design pilot plant and full-scale aeration systems.1. IntroductionPre-flotation aeration of sulphide pulps has been practiced in the Noranda Group for many years to help in the depression of pyrite and pyrrhotite and to promote chalcopyrite and/or galena. Recently, two out of three parallel circuits at the Brunswick Mining and Smelting Corp. Ltd. concentrator have been converted on a test basis to a new flowsheet incorporating aeration as a basic step. Among other benefits, a substantial decrease in the middlings load has been achieved as a result of improved pyrite rejection. There has been increasing interest in other organizations in the potential advantages to be derived from' aeration in terms of improved metallurgy and/or decreased reagent consumption."

Jan 1, 1978

By Christopher R. Davis

Resource modelling is the basis for any economic appraisal of a mining project and includes a number of steps from data acquisition and validation to resource reporting and classification. At each step in the modelling process it is necessary to define the specific objectives, the methodology proposed to achieve those objectives and to establish a set of checks and validation tools to assess the effectiveness of the proposed methodology. The data used has to be both reliable and relevant for the purpose of the modelling. QA/QC for database validation requires verification of sample location; including correct collar location, topographic modelling and down-hole surveying. Validation is also performed on assaying information such as checks for sampling bias and accuracy of core splits, proper use of pulp duplicates and standards, handling of calculated values, explicit/implicit absent data and data entry errors. The second step involves identifying the mineralized domains resulting from the mineralization process. This step requires a geometric interpretation of all relevant geological features that have influenced the spatial distribution of the mineralization including dykes, faults and alteration. In addition, a geologic reference system rather than a standard Cartesian system is established to measure distances between samples. Once the mineralized domains are established and the database has been validated, statistical and spatial description of the mineralized samples are examined in order to establish the histogram and the variogram of all variables of interest and their correlation. Results are also used to calibrate the global resource estimate within the mineralized domain and to establish the search strategy for grade interpolation. The mineral envelope is filled with polyhedral cells representing mining blocks. The average grade of these blocks is estimated using kriging techniques in order to eliminate global bias and to minimize the local error in the block grade estimate. Visual checks are made to validate the spatial trends in grade distribution while global bias and smoothing effect are assessed from the declustered sample statistics. When required, smoothing correction may be applied using ?change of support? techniques. Simulations are used to perform sensitivity analysis and the simulation models are used if severe smoothing of spatial variability makes the interpolated model inappropriate for mine planning. The keys to successful resource estimation are an integrated team of geologists, geophysicists, geostatisticians and mine engineers using the best available technology and reviews by independent auditors. The resource team is also responsible for performing a QA/QC program in order to measure the effectiveness of the methods in meeting the specific objectives at each step of the modelling process.

May 1, 2001

By Cy Jordan, Ben Burdett, Adrian Dance, Jack Rainey

"In 1997, EIMCO Minerals installed a knowledge-based control system on one of the five primary grinding lines at Highland Valley Copper. The objective of the system is to maximise throughput without affecting circuit product size or flotation recovery. The system was commissioned in October 1997 on a SAG mill/ball mill circuit following a plant audit and upgrade of the control instrumentation.The system monitors and controls the SAG mill power, bearing pressure and recycle load by manipulating the solids feedrate, water addition and mill speed. The two ball mill and cyclone circuits are controlled through water addition at various points in the circuit as well as the number of operating cyclones.An on-line particle size analyser is used to measure the cyclone overflow quality. Models of the SAG mill charge level and overflow product size are also incorporated. A method of predicting the SAG mill power response to feedrate changes is used to lessen the effect of dead time for improved mill power control. In the future, inferred measurements of SAG feed particle size and hardness will allow changes in ore behaviour to be predicted and compensated for by the system.This paper describes the development of the project -from installation and commissioning to modifications and refinement -along with prospects for the future.BackgroundIn early 1997, EIMCO Minerals was contracted by Highland Valley Copper to install a knowledge-based or expert system control strategy on one of the five grinding lines in the mill. This was to become the start of the Advanced Control Project at Highland Valley Copper (HVC). This paper will review the progress of the Project as well as discuss the prospects for the future.Following a preliminary engineering study (or plant audit) by EIMCO in 1996, it was decided to implement an advanced control system in order to improve plant operations and increase productivity. The study suggested that such a system had a pay-back period of a few months through increased throughput without loss in flotation recovery. Highland Valley already had successfully applied higher level control through their Elsag Bailey distributed control system (DCS) and this was the next stage in process optimisation."

Jan 1, 1998

By G. Riveros

A new, continuous fire refining process for copper has been developed and tested at the 5 tph pilot scale. During oxidation, the blister copper flows through a packed bed of crushed refractory bricks counter-current to a hot oxygen containing gas. The resulting desulphurized copper flows then directly into a packed bed of charcoal for deoxidation. By controlling the air to natural gas ratio, both temperature and reducing conditions can be controlled. Based on extensive laboratory scale measurements of the rate of copper oxidation and reduction, the process concept was developed aided by process modeling and simulation. The industrial-pilot scale installation built at the ENAMI Paipote smelter in Chile, consists of two cylindrical, compact reactors, operating in line, with a designed capacity of 5 t/h of blister copper. The results of the industrial-pilot tests confirmed the feasibility of the new process. The blister copper processing capacity was increased to 10 t/h with satisfactory sulphur removal. The degree of oxidation as well the copper temperature was controlled with relative ease. The specially designed siphon block allowed for smooth tapping of the oxidized copper and separation of refining slag. The reduction of oxidized copper in the packed bed of charcoal appeared to be very effective while control of the degree of reduction according to the height of the bed ensured control of the oxygen content in the refined copper at the required level.

Jan 1, 2007