Search Documents

By M. Gershon

Four computerized approaches for coal blending are described and their strengths and weaknesses are explored. Spreadsheet analysis Other than word processing, spreadsheet software is the most commonly used software. Its wide availability and ease of use are two desirable features that have led many to try to adapt it to the purpose of coal blending. These are the two main advantages of this approach. To use a spreadsheet for coal blending, each row of data represents one source of coal. Each column represents a quality of the coal, with the last column specifying the tonnage of that coal in the blend. The calculated figures are the blended qualities, which can be programmed to appear in the bottom row. A trial-and-error approach is then used to develop the best blend. Inserting any blend in the last column provides the blend characteristics at the bottom of the page. If any specifications are not met, the blend can be changed, all calculations being immediately updated. This process is repeated until all specifications are satisfied. A third advantage of this method is that it is exactly the procedure that one would go through if doing this by hand. With a spreadsheet, many more blends can be evaluated in much less time, allowing the designer to try to improve over satisfactory blends to find the best of them. The resulting improved blends or cost savings are a fourth advantage of this approach. There is only one major disadvantage of using the spread-sheet. This is that most probably the best blend is not found. As an inexpensive introduction to computer-assisted blending, which can be easily understood and cost just a few hundred dollars, this is a recommended place to begin. Computerized search Computerized search approaches represent crude first attempts at letting the computer design the blend. Unfortunately, the blends found by these programs are very often less satisfactory than those developed manually. The way these techniques work is that they design, according to some predesigned pattern, a number of different blends and then quickly evaluate them. It is then straightforward to select the best from this sample set. The quality of the results depends on the number of blends designed, the way they differ from each other (the search procedure), the number of sources available, the number of quality specifications, and the severity of the specification limits. Good results are usually obtained for small, simple problems. At best, the results obtained are inconsistent from one blend to the next. Programs of this type are advertised in the mining literature. They usually mention how many different blends are evaluated, making it clear that this is more than can be tried manually. Expert systems Expert systems use a source of information known as a knowledge base. The knowledge base, usually a set of if-then rules, attempts to reconstruct the deductive reasoning process of an expert in some job capacity. For coal blending, the usual trial-and-error process has an easily recognized pattern of rules that are followed to try to find a better blend. By following these rules, it is possible to home in on the best blend without the exhaustive search required by the previous method and without the manual manipulation of the spreadsheet approach. The use of an expert system accomplishes this. One of the rules may say something like "if BTU is out of spec, then add more in the blend from a source having a high BTU and subtract some from a source having low BTU." In other words, it goes through the trial-and-error process. The process continues until all specifications are achieved and can continue further to try to optimize the cost. Of course, less simplistic rules are also needed. One set of rules would determine maximum changes in the tonnage added or deleted to the blend or from any one source. Other rules would be needed to determine which quality to improve if two or more are out of spec. At this level, the process of building the knowledge base provides the engineer with a deeper understanding of his or her own thought processes. The advantage of obtaining better blends is clear for this approach. Two more advantages should also be apparent. One is that it follows the same common sense logic that is used when doing the blends by hand or by spreadsheet, making it easy to understand. The other is that, like the search procedure, it designs the blend rather than just analyzing manually designed blends. Thus, it has all the good features of both approaches discussed thus far while providing improved results over each. A final advantage is the ease of use and ease of development. The expert system shells that are on the market are very easy to use and can be run on microcomputers. Linear programming Linear programming is an algebraic tool that solves a set of linear equations to yield an optimal solution to a problem. The optimal solution is based on the linear model so the results are only as good as the ability of the linear model to accurately portray the reality of the problem situation. It is fortunate for the coal blending problem that a linear model can be devel¬oped that reflects exactly the problem that is required. Unfortunately, the mining industry has been slow to use this tool. Coal blending applications available that use linear programming take one of three forms. The first, requiring exper-

Jan 12, 1988

By S. K. Vidyarthi

Most wastewater clean-up processes suffer from a fundamental lack of specificity in that a Reverse Osmosis process removes all dissolved solids, an Electrodialysis Reversal process removes all ions, wanted or unwanted, etc. Most techniques require the use of a membrane or contact surfaces that are prone to foul-up and are ineffective in situations where solids may be present. A photochemical process for the metallurgical industry on the other hand has the ability to operate specifically on targets that can range from one selected ion to an entire group of homologous species such as all biologically active species. Processes can be designed to change the oxidation states of a target altering the environmental impact. Several processes are currently in operation ranging from Cyanide removal to disposal of radiation wastes. This paper describes applicable photochemical processes with the help of certain key model examples.

Jan 1, 1988

By G. Récoché

For the African continent promoting a sustainable utilization of its mineral resources could be considered as a key determinant to fight against poverty. Sustainable development performance indicators for measuring the economic, environmental and social impacts of mining activity are necessary for drawing up policies and sectoral actions, identifying and controlling risks, identifying and implementing sustainable development actions, negotiating between stake-holders, improving mine production, etc. To respond to this need, the SIGAfrique Network proposed to develop a joint decision support tool entitled the African Mining Observatory (AMO) and, to this end, develops a system of indicators to be integrated within the SIGAfrique database. The development of both the OMA and the indicators is based on a participatory method within the working groups, which comprise experts/participants from the 13 SIGAfrique partner and observer countries (Guinea, Burkina Faso, Mali, Tanzania, Niger, Mozambique, Kenya, Uganda, Senegal, Angola, Madagascar, Ethiopia, and Mauritania).

Jan 1, 2007

By A. Pincomb

After determining minable acreage, tons are calculated by multiplying minable acreage by average thickness and by a volume-tonnage conversion factor. Converting from tons in the ground to tons sold across the scale takes fines and internally used and wasted stone into consideration, resulting in minimum losses of about 10% for limestone and 15% for sand and gravel. A high degree of certainty about thickness, lateral continuity and geologic character defines proven reserves. Assuming continuity of these characteristics defines probable reserves. By using tpa estimations and annual tonnage requirements, the life of a deposit can be quantified. The decision can then be made regarding the necessity of securing more acreage. Some landowners choose to multiply aggregate price, operating income, or a royalty rate by tons to arrive at a value for their reserves. In doing so they probably overstate the value of their land.

Jan 1, 2003

By MSHA

Not quite a year ago, during a speech to a group of mining professionals in Washington, DC, the subject centered around the long-range importance of conducting research projects and how much that research needs to specifically apply to health and safety matters in our industry. The point was made about the critical need to work together with government, private industry, labor organizations and academia speaking with a unified voice as we all march into the future together. The fundamental benefits of competitive research were mentioned -- to improve our quality of life, to develop our energy resources, to achieve a safe and healthy environment and to ensure long-term economic growth. Very importantly, emphasis was given to the natural link that makes my agency, the Mine Safety and Health Administration, and the National Institute for Occupational Safety and Health -- NIOSH -- the beneficiaries of each other's findings.

Jan 1, 1999

By LeRoy D. Poindexter

TWO-INCH TO MINUS #100 MESH IN ONE GO The need to reduce mineral ore to a very fine mesh economically has been a timeless problem in the mining industry. With this as the specific and we.l.l focused objective, the Cyclone Crusher has been designed and is being manufactured. Utilizing space age technology from such military projects as piercing steel plate with plastic particles, the Cyclone uses the physical principles of centrifugal force. Through a combination of very high G-forces and asymmetrical loadings between a cone and anvil, particles are pulverized to very fine mesh gradation. Just how fine the final product will be, of course, is dependant on a number of factors. The machine setting, the feed rate, the gradation of the in feed material, the molecular structure of the material, and the original fracture planes of the material all affect the end result.

Jan 1, 1992

By Ludovico Sebastiao Costa, Luis Albano Tondo, Bonzi Yokomizo Santos, Nelson Roberto Garcia Munhoz

This paper focus on the productivity, cost efficiency and training programmes that have enable RPM to rank as a world class operation in production efficiency and safety achievements. The first step was to commit all senior managers to implementing the NOSA Industrial Safety System based on Management by Objectives. This focused the workforce in a specific, results-driven direction which greatly promoted subsequent performance improvements. The early operations concentrated on increasing throughput via process simplification and removal of bottlenecks. Efforts were simultaneously directed to environment, health and safety as a means to improving the quality of operations. In the last two years, improvements in mining and in-tailings dam management have further improved the cost competitiveness of RPM such as to assure its future in treating the remaining CTBl ore reserves. Promissing progress is being made in developing a viable process to exploit a remaining large resource of B2 mineralisation.

Jan 1, 1993

By Paul D. Tomlingson

Editor's note: This is the second of two articles on maintenance. Part one: "Downsizing maintenance to improve performance: Defining the downsizing task," appeared in the September issue of MINING ENGINEERING, pp. 1065-1066. Part one explained that downsizing must he an organizational change in which the mine moves to a more efficient, smaller maintenance organization. But the new, smaller organization must operate more productively. Determine initial reduction targets Reduce the workload - The initial reduction target can be determined by projecting manpower reduction as a result of discontinuing or deferring work. Start these reductions by not replacing personnel who retire or are disabled. Observe the right craft mix during this initial reduction. Improve productivity - Further reductions can come from better productivity. But achieving the higher productivity level will require a year or more. During this transition, the efficiencies of a well-defined program and a team organization must take hold.

Jan 1, 1994

By Thomas J. Mason, Geno Saccomanno, Victor E. Archer, Philip C. Prorok

INTRODUCTION A population of several thousand uranium miners in the Colorado Plateau region of the United States has been under surveillance since 1957 using sputum cytology and other procedures. Attempts were made to collect sputum samples annually for those miners showing normal sputum or only minor abnormalities, and on a semi-annual schedule for miners having more severe cytological abnormalities. For individuals having carcinoma in situ or malignant cells in their sputum, samples were taken more frequently. As in any human population, however, these schedules were not always adhered to, and samples were often acquired less often than scheduled. On the basis of the thousands of sputum readings that have resulted from this surveillance, one can calculate the durations or sojourn times which individuals spend in the various cytologic states into which the sputum readings are classified. This paper presents some preliminary, descriptive results concerning relationships among the cytologic state duration distributions in this population, and their associations with other variables such as radiation exposure and cigarette smoking. There are several reasons for studying cytology results in this observational setting. Of considerable interest is the opportunity to gain insight into the preclinical natural history of lung cancer. Such information would be valuable in the future design and interpretation of screening programs for the early detection and treatment of lung cancer, should this activity prove to be of benefit in experimental trials. Secondly, it is of interest to determine if some characteristic of sputum cytology readings can be utilized to determine a decision point at which to transfer a uranium miner to another job category within the industry in order to effectively reduce his probability of developing lung cancer. For example, a reading of moderately atypical cells in the sputum has been suggested as a possible decision event which would be sufficient to warrant such a transfer. In the analysis which follows, an attempt will be made to develop information relevant to these issues. The data base for our analysis, largely developed over a period of more than 20 years by Drs. Geno Saccomanno and Victor Archer, contains sputum readings classified into one of eight cytologic states: normal, metaplasia, mild atypia, moderate atypia, marked atypia, suggestive, suggestive-equivocal, and malignant. The two suggestive states will not be considered as these categories seldom contain enough observations to generate meaningful results. The duration in a given cytologic state for a given individual is calculated as the sum of the intervals between consecutive sputum readings in that state. When two consecutive readings are in two different states, half the between-readings interval is assigned to each of the two states. Among all individuals in the data base, only those having at least two sputum readings are used so that a duration can be calculated. Furthermore, the analysis is limited to individuals whose successive readings are no more than 24 months apart, so as to focus on a population which was under surveillance on a reasonably regular basis. RESULTS The overall distributions for the cytologic states are displayed as histograms in Figures 1-3.

Jan 1, 1981

By A. Unal

Barbaro et al. (1990) implemented a tedious study aimed at delineating the short-scale spatial variability of sulfur in a coal seam. It is not possible, however, to extend their conclusions to any other coal seam or use theirs in any other fashion, because the background geology was not presented. Nor were the conclusions accompanied by geological interpretations in the paper. In addition, an unfortunate printing error occurred where the total sulfur (determined by High Temperature Combustion) variogram in Fig.3 was duplicated in Fig. 2 instead of the seam height variogram. A more serious error, however, has been committed in the definition of the variable, seam height. What is defined as seam height by Barbaro et al. (1990) is, in essence, mining height, and is not a regionalized variable that should be studied by geostatistical methods directly. Despite the fact that the variable, seam height, is not defined in the paper explicitly, the following quotation discloses the fallacy: "All roof rock that exceeded 1.8 m (6 ft) from the floor was not taken because the longwall was operated to not mine more than 1.8 m (6 ft) unless the coal seam height exceeded 1.8 m (6 ft)." From this definition, the seam height, and therefore the sampling height, is equal to the actual coal thickness, if the coal thickness is greater than 1.8 m (6 ft). Otherwise, it is equal to the sum of the coal thickness plus the thickness of the roof rock that complements the thickness to 1.8 m (6 ft). In the latter case, the seam height is constant and equal to 1.8 m (6 ft). It is possible to conduct a variogram study on a pool of samples that are realizations of two different variables. But the conclusions derived would not belong to any one of the two variables uniquely and, therefore, do not possess any significance. Geostatistical analysis is irrelevant for the sum of multiple regionalized variables formed by arbitrary selections. In a two¬seam setting, for example, the mining height, as defined by the thickness of one seam at one location and the thickness of both seams at another location (due to quality and/or minimum thickness considerations perhaps), should not be used in the calculation of one common variogram. The two seams should be modeled separately. They can then be combined according to the specific purposes of the study. On the other hand, if a constant is added to a regionalized variable (to incorporate dilution perhaps), the variogram of the new variable will not change. Barbaro et al.( 1990), surprisingly, does not give any geologi¬cal interpretation of their results despite the fact that most of them can be explained by the origins of sulfur in a coal seam. The presentation of the results of a geostatistical study with no reference to the geology of the deposit is uninformative. It may also be misleading for the potential users of geostatistics. It is not unusual to find nuggets of pyrite in coal seams. In such cases, pyritic sulfur will probably display a spatial structure for only a very small distance that will appear in the experimen-

Jan 1, 1991

By John F. Shea

When tunnel boring machines were first developed, the J. F. Shea Company elected not to use them until some of the bugs were worked out. When we did take the plunge, we learned a great many lessons in tunneling; amongst others, that tunneling with a TBM is more an art than a science. One of the most important factors that contributes to a successful TBM tunnel is the geology. A machine can be designed to handle almost any type of ground; however, if the ground is not uniform, compromises in design must be made to enable the machine to handle the various ground conditions. Even when the geologic formations are well defined, it is still impossible to predict how the formations will react when it is penetrated by a tunnel. This is where the design and performance of a tunnel boring machine runs into trouble. When the reactions are adverse, the contractor is left with three alternatives; park or pull the machine and drive conventional, fight through the formation with no changes, or modify the machine. We have made all three of these choices. The first, on the Tonner Tunnel in Southern California, we encountered an extremely tough sandstone where progress was measured in inches per day. Ultimately, we pulled the machine and drove conventional tunnel. The second, on the Vat Tunnel in Central Utah, another element was added to the geology - water, which we encountered in excess of 1,000 gpm at the heading. It was impossible to adapt the machine to handle this much water, so we have been carrying out a program of grouting ahead of the machine and then driving tunnel with the tunnel boring machine.

Jan 1, 1981

By John O. Marsden

Process selection is the systematic development of the optun.m metal extraction route for a particular feed matenal and has two main objectives: (1) to optimize project economics, principally a function of gold recovery, throughput rate and processing costs, and to develop a process that satisfies all of the proct requirements including, for example, political and environmental considerations.

Jan 1, 1992

By G. H. Khoe

addressed in a number of studies in the past. In this paper, the stability of a ferrous arsenate compound is evaluated using a solution model and the thermodynamic data which were determined for the system. The environmental stability of the ferrous arsenate precipitate is compared with the literature data for ferric arsenate and arsenate-bearing ferric hydrous oxide.

Jan 1, 1991

By I. S. Parrish

Locating and defining an ore body with minerals or metals that can be recovered at a profit is the objective of minerals exploration. Direct exploration involves examining and sampling rocks either in outcrop, underground exposure, drill core, or cuttings. Indirect exploration infers the measurement of some physical, chemical, or biological factor that reflects the possible presence of the metal or mineral of interest, or a structure that may act to collect, concentrate, or otherwise favor the presence of the desired commodity. Included here are all forms of geophysical, geochemical, or geotech-nical prospecting. In recent years, indirect exploration has given rise to an impressive number of specialists and a variety of techniques. Less impressive is the success rate or productivity of the modern explorationist. Exploration Productivity Losing Ground Judging from the low number of mine openings or mine discoveries in recent years, the exploration industry is not as productive as it once was. Many will take umbrage at this judgment, but a review of the literature will support this statement. In Canada, from 1951 through 1960, there was an average of 5.6 discoveries a year. From 1961 through 1976 there were only four a year. This nearly 30% reduction occurred despite a massive increase in exploration funding. From 1950 to 1955, the Canadian mining industry spent $5 million (1975 dollars) for each minable deposit found. During the period 1970 to 1975, the cost was $25 million for each one found. The industry was spending five times as much and finding 30% less than a generation earlier. This is not indicative of a productive endeavor. The loss in productivity is even more apparent to explorationists who wander the western US, and are awed by the thoroughness and discovery rate of those early prospectors who explored from 1850-1920. The "old-timers" missed very little. They used pans and crude chemical tests in place of plasma or X-ray fluorescent assay techniques. But, they found ore bodies that led to mines. Today, the best prospecting areas are pockmarked by the hand dug pits, trenches, and shafts left by our predecessors. The success or productivity of the old-timers may be attributed to any or all of several factors. Granted, they were looking at virgin ground and at deposits that in many places were exposed. The factor most critical is, however, that they employed direct exploration methods. They walked over areas of interest, traversed swamps and mountains, and followed "colors" in stream gravels to their source. They also chipped rocks, dug pits, trenched along structures, and followed the "leads." Many of today's explorationists, on the other hand, adopt a more sophisticated approach. A geologic model is conjured up so the exploration team "knows" models, but the model should be applied at a later stage in the exploration effort. J. D. Ridge has written an excellent article on the role and timing of models. Geologists should collect and assemble data, facts, and observations and fit these into a model and not conceive a model and seek data to prove their vision. Further, many exploration managers are adept and talented at devising exploration programs. They can program and use modern exploration techniques and tools. They can apply these and their modeling capacity to assemble a glittering array of targets. It would appear that in all too many instances, creating targets has been equated with and is considered being productive. As noted, finding ore bodies is being productive in exploration. Creating targets may or may not lead to ore bodies. As an end result, locating targets is not productive exploration. How then does one foster productivity in exploration? Some suggestions are to increase the use of direct methods, follow the methods and philosophies of old-timers, look at more rocks, do more field work, use foot traverses, and do more drilling. It may be argued that this is what the old-timers have done and we would then be hoping to find

Jan 11, 1983

By T. H. Parker

The Guasare Coal Project is located a short distance from Lake Maracaibo, in the Northwestern region of Venezuela. In 1987, Carbones del Guasare, a joint venture comprised of Carbozulia, ACC Venezuela, a subsidiary of ARCO, and AGIPCoal of ENI Group, Italy, was formed to develop the Guasare coal reserves for world markets. Drilling with the Venezuelan state of Zulia has indicated a coal resource of over 6 billion metric tons. Further exploration has delineated the Guasare deposit as an area particularly suited for cost-effective surface mining. The calculated mineable reserves of this area (300 million metric tons) and the coal quality characteristics are based on extensive core drilling programs.

Jan 1, 1989

By C. Cassios

The paper covers the principles of Silver & Baryte Ores Mining Company (S&B) integrated Environmental Impact Assessment study for the whole of the extractive activity at the Fokida prefecture, over a time horizon of a quarter of a century. More specifically the paper includes: - The investigation and the evaluation of the environmental and socioeconomic variables of the specific area of concern. - The identification of the present and future impacts of the extractive activity. - An evaluation of the results of related reclamation activities. - Activity planning following a holistic approach, based on the principles of Sustainable Development, including environmental, social and economic aspects. - The monitoring of the procedure?s implementation.

Jan 1, 2003

By Andre Vien, Marc Grondin

For many years mill operator training was an informal process which involved senior operators training junior operators on an as-needed basis. The more rapid incorporation of new processing and information technologies, the goal to keep labour costs to a minimum by doing more with less, and the complexity of AG/SAG mill operation has forced companies to have a closer look at operator training. This paper describes a conceptual model of the charge of a AG/SAG mill that can be used for operator training. The conceptual model divides the charge into three regions: cascading, cataracting and toe. Mill behaviour is explained by the changes that occur in each region.

Jan 1, 1997

By J. E. Warm

Florida’s ancient beach ridge sand deposits, mined for construction aggregate, are highly variable. Rinker Materials utilizes a small reverse-circulation drill rig to prospect and profile unconsolidated fine aggregate deposits more effectively and inexpensively than other drilling methods. Sample data is stored in a spreadsheet that calculates yield and volume. Rinker also uses a Trimble ProXR backpack GPS to locate boreholes in the field, track mine progression on a monthly basis, and to map restrictive features such as wetlands. Autodesk Land software is used to create detailed deposit maps and mine plans. Rinker believes that these practices have led to improved awareness of deposit characteristics and deposit utilization.

Jan 1, 2004

By Henk van Muijen

To create a feasible plan to extract marine minerals there are a significant number of factors that must be analyzed. Most of these are known from conventional mining types. The following issues are the most relevant factors that have to be considered for mining a deep sea reserve economically: Sufficient reliable geological, physiographic data to create a proven reserve and mineral resources, Environmental Conditions, Geological & Geotechnical Study, Mining and ancillary equipment selection (design) and suitability, Environmental Conditions, Initial Transportation (seafloor to surface), Locations for stockpiling & processing, Processing, Power requirements, Land (Seafloor) ownership, Government, Economic Climate, Waste Handling, Methods of obtaining information and Post-Mining Activities.

Jan 1, 2008

By D. D. Potter

ABSTRACT OF ORAL PRESENTATION Extraordinary conditions are often encountered when designing large blasts for in situ mining methods and spatial or innovation techniques are sometimes required. Some of the considerations in designing these large blasts will be discussed with emphasis on those factors that concern powder factor, rock movement and fragmentation. Sources of basic data will be described, along with some of the methods for obtaining these data.

Jan 1, 1977