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By E. Iasillo, R. R. Carneiro

Independent of the method chosen to forecast production, an accurate method to project metal extraction is needed in order to accommodate leach cycles that exceed leach data on hand and thus be able to accurately forecast production. Metal extraction data must be developed for each ore type identified in the deposit in order to apply the correct rate of leaching when a specific ore is being treated. Curve fitting is used to model the rate of disengagement of metal into the pregnant solution. This paper provides a description of a curve fitting algorithm developed by Mr. John T. Bartlett, inventor of the METSIM™ process simulation program. A methodology is provided by which the metallurgical data developed is evaluated to determine if accurate projections may be made from the data. A criteria has been developed to help determine when a column experiment may be terminated.

Jan 1, 2001

By T. Carageorgos

The removal of arsenic from process streams as ferric arsenate compounds is being practised by mining industries. Therefore, the solubility and stability of these solids is of considerable importance to the mining plants that have to keep the environment free from pollutants. There is some information on the solubility of the ferric arsenate compounds, mainly on scorodite, obtained from synthetic solution. However, there is not so much work on ferric arsenate compounds formed at high temperatures (175 - 230°C) during the leaching process. In the present work, the solubility of the ferric arsenate compounds formed during acidic pressure oxidation of arsenopyrite is presented. The results of the solubility tests showed that the ferric arsenate compounds formed at high temperatures (200 - 230°C) and high pressures (1034 - 1551 kPa 0,) released arsenic into solution in amounts less than 1.2 ppm and iron in amounts no higher than 1.0 ppm. So, they seem to be potential compounds for arsenic and iron disposal.

Jan 1, 1998

By Richard L. Sanford

The generalized rail haulage simulator described in this paper is an outgrowth of the need to expand a previously developed single level simulator to permit analysis of production problems where intermediate car storage is used. Many of the ideas of the former single level simulator, which is an integral part of an Underground Generalized Materials Handling Simulator (UGMHS), have been used in model development. In addition, experience gained in applying the earlier model to a variety of operating conditions has been heavily relied on. The generalized rail haulage simulation model can operate as an independent system and, as such, can be used to analyze rail haulage systems using production distributions as data input. In addition, this model is designed to replace the present rail haulage sub-assembly in the UGMHS model and the linking procedure has been integrated into the model. The flow of coal from production sections in UGMHS, for example, fill the mine cars and a condition of no empty cars at a loading station will shut down in by production systems.

Jan 1, 1974

By Brian Flintoff

Basic process control is an integral part of most mineral processing plants. It is widely acknowledged to have helped many operations reduce costs and increase productivity and performance. The research community is very active in the development and evaluation of both model based and Al techniques for advanced control applications. Vendors and specialist consulting or engineering firms are in business to help deliver these solutions to the plant floor. It would seem that there is a good balance between business needs and technology, and that the industry should be moving steadily forward in an aggressive pursuit of plant-wide automation. However on closer examination one sees some systemic problems which are sewing to inhibit progress. One of the mist obvious manifestations is the gap which exists between the available technology and current This paper explores the control of mineral processing systems, with a particular emphasis on some of these problem areas.

Jan 1, 1995

By D. Gu

Breakage of rock by machine is one of the major methods of excavation. With the development of modern engineering techniques, the advantages of using this method have become even greater. Improving efficiency and reducing the cost of rock breakage is the main goal of mechanizing the rock-breaking operation. For a given stratum, the efficiency of a machine excavation depends, to a large extent, on the design and method of application of the tools used. In a planetary cutter head, the subcutter heads move like planets around the main drive shaft. The general structure of the cutter head is shown in Fig. 1. As shown in this illustration, the main drive shaft (1-1) is connected to the tie bar (1) and, thereby, to a gear(5) that meshes with a fixed-gear ring(2). The subcutter head (4) is rigidly connected to the gear (5) by the subcutter-head axis (2-2). When the main drive shaft (1-1) rotates, the subcutter head (4) rotates around the axis (2-2), under the action of the tie bar and with the help of sleeve pipe (3).At the same time, axis (2-2) also rotates around the main shaft (1-1). As shown in Fig 1, is the angle between the main shaft and the subcutter-head axis.

Jan 1, 1995

By M. G. Karfakis

This paper examines the chimney occurrences in the Hanna Coal Field, Wyoming. Chimney caving is defined, previously proposed mechanisms involved in the development of a chimney are critically reviewed, and factors controlling chimney cave are identified. The main portion of this paper deals with the identification and characterization of chimney subsidence due to underground coal mining in the Hanna Mining District. In an attempt to characterize the subsidence, sink-hole occurrences are correlated with the depth of coal, thickness of mined-out beds, mining methods, nature of overburden, structural geology, and hydrology. Most sinkholes in the Hanna Basin appear to be conical in profile, with the apex upward. The average diameter is 15 meters (50 feet), with an average depth of 11 feet. Most have developed above an overburden of less than 61 meters (200 feet). The average mining height to width ratio is 5. Much of the chimney development is governed by the thickness and character of the overburden, the width and height of the mine opening, and the in situ state of stress.

Jan 1, 1986

By Mark Gershon

Most recent work in the field of mine production scheduling has focused on either the computerization of the traditional methods or the development of sophisticated mathematical optimization models. Yet it is clear to all concerned that the optimizers need to be made more practical and the traditional approach needs to be made more optimal. This paper, along with another recent paper (Gershon, 85) open a middle ground between these two approaches. In that recent paper, a heuristic procedure for production scheduling was introduced. Here, a series of short term optimizations are used in a creative manner to approximate the true long term optimization. Since these small optimizations are aimed at blending to meet production quality specifications, this approach is most applicable to commodities where the blending function is very important such as coal, cement, phosphates or iron, to name a few. The traditional and the optimization approaches are so far apart that their' advocates have difficulty identifying with the other approach. This is especially true concerning the difficulty of understanding the optimization models for those not trained in the field of operations research. This paper takes the position that the pro- 120 per role of the operations researcher is to provide not only useful and advantageous approaches, but practical, understandable and implementable ones as well. This is the goal of the paper in describing a new approach, consistent with the traditional methods and aimed at approximating the results of the optimizers.

Jan 1, 1986

By A. J. Friedrich

Conveyor belts are designed to go unnoticed. When they work well, they attract little attention. When they are not doing the job right, it is noticeable, and they need to be fixed immediately. Vulcanising contractors compete for the maintenance of belts in mining/quarrying and general materials handling worldwide. Damage repair is approached in similar fashion. The damaged section of belting is normally cut out and discarded, and the belt re-spliced using hot vulcanising, Cold splicing, or mechanical fasteners/clip joints. However, there is a cost-effective alternative, alleviating the need to remove damaged sections which are often perfectly recoverable. This is the use of cold-curing repair resins and adhesives.

Jan 1, 2000

By Y. Luo, S. S. Peng, C. T. Holland

Introduction A well-designed mining plan is one that minimizes cost and mining induced problems and maximizes recovery of the coal reserve. To minimize the negative effects on surface structures caused by ground subsidence due to underground mining activities, two kinds of practices are commonly employed by mine operators. One is the support technique, which leaves an area of coal unmined or partially mined beneath the structure to be supported. The other is the protection technique, which protects the structure when it is subsiding with the ground by taking advantage of the ground subsidence process (Luo et al., 1992). In designing the supporting technique, the only currently available method in the US is the one stated in the Pennsylvania Underground Coal Mining Rules (1985). However, the size of the support area designed by this method will be excessively large and result in a wasteful use of coal reserves when the overburden depth is more than 350 ft. A more scientific method is proposed in this paper for designing the support area. This method is based on a large amount of subsidence data collected throughout a number of major US coal fields and the authors' experience with monitoring and protecting surface structures that have been undermined by longwall panels. It considers the critical deformation indices that a structure can tolerate, and depth and height of underground extraction. A support area designed by this new method will not only assure the safety of the structure to be supported but will also maximize the extraction of the coal reserve. Design of support area using the Pennsylvania rules The Pennsylvania Underground Coal Mining Rules (1985) state that no underground mining activity should be permitted beneath structures where the overburden depth is less than 100 ft. An exception to these rules is provided for mine related openings that provide access to the surface for such as entries, shafts, boreholes and site-specific variances for entry development. If the overburden depth is greater than 100 ft, the mine operators should utilize either of the following: •Extraction techniques that provide for planned subsidence in a predictable and controlled manner, or •Support techniques designed to prevent subsidence damages to features identified as: •Public buildings and non-commercial structures [ ] customarily used by the public, including churches, schools and hospitals • Dwellings, cemeteries, municipal public service operations and municipal utilities in place on April 27,1966 •Impoundments and other water bodies with a storage capacity of 20 acre-ft or more • Aquifers, perennial streams and water bodies that serve as a significant source for a public water supply system, and •Coal refuse disposal areas. The support techniques require that a support area be left beneath the surface structure or feature to be protected (Fig.1). The support area should consist of coal pillars, with their size and pattern being such that their bearing strength is maximized. The total coal extraction within the support area should be limited to a maximum of 50%. The support area should be rectangular in shape and determined by projecting a line at a 15° angle from the surface to the coal seam with an offset distance of 15 ft from all sides of the structure. For a

Jan 1, 1994

Part two of this three part series looks at explosives use in open-pit and underground mining operations. Part three, next month, will discuss the transportation, storage, handling, and destruction of explosives. Larger ore bodies, lower grade deposits, and more difficult geologic conditions have led to changes in blasting products, techniques, and field practices in both open-pit and underground metal mines. Pit blasting operations must consider the material's geology, needed fragmentation for the material, and hole diameter and depth-as well as the traditional consideration of the type of explosive used. With underground mines, various blasting aspects of burn, angle, and machine cuts must be considered for an efficient and safe operation. Of the factors related to open-pit blasting, geology of the material is most important. Many theories relating to sonic velocity and rock hardness are used to determine needed explosives ratios. Extensive field tests are necessary to determine these factors. In most cases, results assume that the material to be broken is homogenous. The drilling penetration rate is sometimes used as a guide to determine rock hardness; however, this is not necessarily a good idea. In many cases, a very hard, brittle rock will blast with less difficulty than a soft, spongy rock. The formation's stratification is also important. In thinly laminated horizontal seams, rock will usually break and adequately fragment with relatively large burdens and spacings using a low explosives ratio. Massive formations with few laminations require close burdens and spacings and a high explosives ratio. When the stratification is pitched on a severe angle, it is usually preferable to develop the pit face 90°-but no less than 45°-to the stratification. If the face must be developed parallel to the stratification, burdens and spacings must be reduced and the angle drilling that will conform to the angle of the lamination should be given serious consideration.

Jan 8, 1981

By Stefan Zanon, Ty Faechner, Clayton V. Deutsch

Secondary data are important in geostatistical simulation of continuous variables. Geophysical data and geological trends are used for modeling porosity and permeability. Multiple mineral grades must often be modeled for mining applications. Sequential Gaussian simulation (SGS) is often used because of its relative simplicity and robustness. The two most common approaches to integrate secondary data in Gaussian simulation are with (1) locally varying mean, or (2) collocated cokriging. A significant problem with both of these techniques is variance inflation, that is, the variance of the resulting simulated values is too high because of an inappropriate decision of stationarity or an artifact of choosing a single secondary data in presence of many. We introduce a self-healing procedure for dynamic correction of this problem. The dynamic correction is different for the locally varying mean approach and for collocated cokriging since there are different reasons why each of these methods causes variance inflation. The reasons for variance inflation are discussed and the self-healing is applied to a number of data sets.

Jan 1, 2002

By F. W. Schweitzer

The trend toward development of large low grade ore bodies has accelerated in recent years. It has been estimated within the copper industry that "porphyry" type deposits will provide the bulk of copper production during the next 30 years. It is further estimated that in these deposits the average ore grade by the year 2000 will be 0.25% copper (1). Many of the new porphyry copper discoveries are of such extremely low grade that they are particularly sensitive to small fluctuations in cost variables and copper prices. Because haulage constitutes a major item of surface mining expense, the capability to transport large tonnages of material at increasingly lower unit costs is vital to the profitable operation of many of these mines. High capacity conveyor belts appear to have considerable promise in this area. The heaviest use of high tonnage conveyors has been in the brown coal industry in Germany. In the past 20 years several such installations have proven successful. In addition to the German installations, several other successful systems have been put into operation. Some examples are: The Oroville Dam project in the United States; the tar sand operation in Northwest Canada; the pre-mine stripping and mining of the Twin Buttes Mine in the United States; the Kursk Magnetite 'dine in the U.S.S.R.; and the Nchanga Copper Mine in Zambia. Most of the systems mentioned are handling alluvial material consisting mainly of fines. The noteworthy point regarding these installations is their high continuous capacity. One of the largest lignite mines in the world is at Fortuna, Germany, where over 15,700 tons (15,250mt) per hour of overburden is transported on an 87 inch (221cm) wide belt running, at over 1000 feet (305m) per minute.(2). Another example is a 20,000 ton (18,150mt) per hour system for loading iron ore into barges on the Great Lakes (3).

Jan 1, 1976

By H. P. Knudsen

In most open pit gold mines ore waste selection is based on estimates made from blasthole samples. These estimates frequently are biased. While it is true that high grades and "outliers" can induce a bias they may not be the only reason for the persistent bias seen at many mines. This paper focuses on a source of the conditional bias. In this paper it is shown that the poor blasthole sampling can cause a conditional bias in the estimates.

Jan 1, 1991

By Gary Krix

The Amdel Thickener Interface Gauge (TIG) provides continuous on-line measurement of the level of the liquid/solid interface in thickeners and Counter Current Decantation (CCD) washers. Unlike other interface level measurement systems, the TIG also determines the span of the transition zone. The transition zone is the region between the clear liquid overflow zone and the compressed solids zone. The Thickener Interface Gauge determines the level of the interface by measuring the natural radioactivity of the solids in the thickener tank using an array of up to twelve detectors mounted vertically in a stainless steel probe. All solids contain low levels of natural radioactivity while the liquid phase generally does not. The concentration of natural radioactivity at each level in the thickener therefore depends on the concentration of solids. The radiation emitted by the solids is converted to electrical pulses by the detectors in the probe and the pulse-rate provides an accurate measurement of the density. A typical count-rate profile is presented in Figure 1. The vertical axis indicates the depth in the tank referenced to the surface of the liquid. The horizontal axis indicates the count-rate measured by the TIG probe, this count-rate is proportional to the density and can be used to determine the settling rate. The count-rate at the top of the graph is relatively low, this region corresponds to the clear overflow zone which contains virtually no solids. Moving down the vertical axis the count-rate increases dramatically at the level of the transition zone where the solids content increases with the depth in the tank. In this region the settling conditions of the solid particles change from free settling to compression. Moving further down the vertical axis the count-rate reaches a plateau where the count-rate remains relatively constant although there are often small fluctuations, this region corresponds to the solids compression zone. The liquid/solid interface as measured by the TIG corresponds to the depth at which the count-rate crosses the target count-rate which is generally selected to be midway between the liquid count-rate and the compressed solids count-rate. The length of the TIG probe is selected to cover the typical operating range of the liquid/solid interface in the thickener or washer. If, for example, the minimum bed level is 3.0 metres below the surface of the liquid then the probe length is selected to extend 30 metres below the surface. The TIG probe can include up to twelve detectors and the se are spaced over the measurement range. For small measurement ranges of around one metre 4 to 6 detectors would normally be used while for larger measurement ranges of three metres or more twelve detectors would be supplied.

Jan 1, 1993

By Hans W. Brodbeck

The Advisory Conference on Tunnelling of the OECD, held in Washington, D.C. in June 1970, has established the following definition: "Tunnelling refers to the construction by any method of a covered cavity of predesigned geometry whose final location and use are under the surface, whose cross-sectional area is greater than 2 square metres". (1) The definition makes clear that the term includes all types of underground construction, be it in hard rock, soft ground, under mixed conditions, underwater, etc. Small-sized tunnels in rock therefore constitute but one part of the tunnelling scene. With an ever-growing urbanisation taking place in industrialized as well as developing countries, the demand for small-sized tunnels is, however, rapidly increasing and requires a far-reaching mechanization of excavation and support functions. This trend is accentuated by the fact that small-sized tunnels are far more labor-intensive than large ones, and, with wages raising at a much faster rate than costs for plant and equipment, this will accelerate the introduction of new tunnelling systems. SMALL-SIZED ROCK TUNNELS The main field of application for a tunnelling system for small sized hardrock bores is thus defined. It is in fact the numerous relatively short tunnels required under cities and other populated

Jan 1, 1974

By K. C. Kane, D. L. Meredith, B. E. Davis, D. A. Stanley, O&apos

Computer control of the minerals beneficiation process is limited by a lack of adequate sensors to provide information on the current state of the process. Recent reduction in the cost of image acquisition and powerful inexpensive computers make use of computer vision as sensory input in process control a possibility. In the phosphate industry, the amount of apatite in phosphate tailings is estimated by inspection. For machine vision, a simple 256 x 512 color image of the tailings was captured via an inexpensive color video camera on an IBM PC. Initially, the image is converted to gray scale and displayed on an EGA color monitor. A program was written which identifies the different constituents of the sample by analyzing the gray scale levels for the digitized picture. In other instances the minerals are identified by their relative color intensities. The amount of each constituent is determined with good accuracy from the area it occupies on the image.

Jan 1, 1990

By Enrique Hermana, Raymond F. Dalton, Raymond Price, Barry Hoffman

Introduction Chloride leaching of sulfidic ores has been known about for 100 years. It is recognized as a highly efficient process to produce concentrated leach solutions. Despite this, chloride leaching found little practical application until recently because of the highly corrosive nature of concentrated chloride solutions. This situation changed with the advent of modern construction materials such as GRP, polypropylene, butyl rubber, etc. And in the past 20 years, research has burgeoned in the area of chloride hydrometallurgy. The research impetus stemmed from the belief that chloride leaching can provide an alternative to smelters for treating conventional copper concentrates. In addition, chloride leaching was thought to be suitable for on-site refining of copper at small tonnage operations located in remote areas. And chloride leaching was seen as a logical choice for treating unusual or complex concentrates that smelters could not handle. Underpinning these beliefs is the attraction of chloride-based hydrometallurgical processes for sulfidic ores. Sulfur is liberated in the environmentally acceptable elemental form rather than as sulfur dioxide. Consequently, sulfidic copper ores have received much attention. A review of Edmiston in 1984 describes 12 chloride-based processes. All managed to progress past the "laboratory beaker" stage of evaluation. In nine of these processes, copper is recovered electrolytically. Key features of these processes are summarized in Table 1. Table 1 shows that the processes must include a copper solvent-extraction step. Only these processes produce a clean copper electrolyte capable, with no further refining, of directly producing high quality cathode copper. The ICI/Elkem process is the exception here. The rest of these processes use o-hydroxyaryloxime reagents for the solvent extraction of copper and are constrained by the performance of these reagents. This is governed by hydrogen ion concentration (Equation 1). The practical result is that only relatively dilute copper solutions can be treated (Canmet, Phelps Dodge), or careful pH control or adjustment is necessary (Minimet Recherche, B.H.A.S.). This negates one of the attractive features of chloride leaching - its ability to produce very concentrated copper solutions, up to 40-45 gl-1. [ ] In all four processes using o¬hydroxyaryloxime extractants, solvent extraction transfers the copper from the chloride to the sulfate medium. To minimize cross-contamination of the two anions, the loaded organic solvent has to be scrubbed to remove the chloride ion. This represents an additional complication in the solvent extraction circuit. And it

Jan 1, 1988

By Richard L. Ash

Less than optimum production in mining always results when poorly blasted material is provided at loading points. More often than not the cause is due to blasting founds that fail to fully control and utilize explosive energy. In many cases the problem exists because too few blasters understand how blastholes actually break rock and recognize that blasting is a three-dimensional process in designing their blasts. To better understand how blasts can be more effectively designed the two major rock breakage processes are described. In addition, the respective contributions of the borehole and detonation pressures are defined as are the specific roles of the several important blasting design variables. The concept of stiffness as an engineering principle and its significance in blasting design is introduced for explaining the breakup of rock. Basic guidelines for affecting control over fragmentation and side effects like over-break are offered.

Jan 1, 1975

By J. C. Hower

The Hardgrove grindability index (HGI) is a widely used coal-quality parameter with applications in coal mining, beneficiation, and utilization. An understanding of the petrology of the coal is fundamental to understanding the validity of the HGI in the given application. The HGI varies with coal rank, increasing (greater ease of grinding) with increasing rank through the high-volatile bituminous rank range; and the HGI varies with changes in the maceral and microlithotype composition, decreasing with an increase in liptinite and liptinite-rich microlithotypes. In this review, the .fundamental relationship between HGI and coal petrology, and consequently its relationship to coal utilization, is examined.

Jan 1, 1999

One of the major objectives of cost analysis is to enable the manager to predict the financial outcomes of decisions. To accomplish this, the future costs and benefits of alternative courses of action must be determined. If care- fully used, information about past financial performance can be helpful in this analysis despite the fact that, by definition, financial reporting information is historical. In many cases, both revenues and costs need to be estimated for decision- making. For the production manager, additional revenue is a result of increased throughput or recovery of valuable material from the stream of mined material. A reduction in operating cost, although similar to a revenue increase in its financial impact, is estimated using slightly different techniques. Generally, the estimation of cost is more difficult than the estimation of revenue. Most cost estimates have two components: an estimate of fixed costs and an estimate of variable costs. As discussed in chapter 5, the total cost of an activity during a specified period can be expressed as: Total cost = (Variable cost per unit of activity) x (Units of activity) + Fixed cost or TC = VX+F

Jan 1, 1999