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Cooperative Education In Mineral Engineering: Experience At Montana School Of Mines, ButteBy W. A. Vine
Next year, in 1964, Butte will celebrate its Centennial. It was in May, 1864, that the first recorded mining activity took place. During that summer, several rich placers were found on Silver Bow Cree
Jan 1, 1963
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Gold Companies Look at Mexico, Dominican RepublicBy Steve Kral
When the price of gold cracked the US$9.60/g(US$300/oz) mark last year, the gold-mining industry began to crank up again. This followed several years of gold prices that had languished in the mid-200
Jan 1, 2003
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The U.S. Cement Industry Operating In An Unfriendly EnvironmentCement in 1975 indeed did operate in an unfriendly environment. World recession, escalating costs, fuel crises, reduced product demand . . . . all led to market conditions detrimental to industry prof
Jan 1, 1976
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New Developments In Plastics SeparationBy J. I. Schoenherr, G. Schubert, F. Demczenko
The currently known and used plastics and rubber recycling or sorting processes cannot be applied efficiently and economically due to large amounts of fine bulky materials (<3 mm). These wastes are mo
Jan 1, 2002
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Deterministic And Stochastic Water Balance Modeling Of The Gilt Edge Mine Superfund Site, South DakotaBy K. Wangerud, B. S. Caruso
A water balance model with deterministic and stochastic components was developed and used for the Gilt Edge Mine Superfund Site, South Dakota, to evaluate risks of contaminated runoff discharging to s
Jan 1, 2002
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Managing Geologic Uncertainty in Pit Shell Optimization Using a Heuristic Algorithm and Stochastic Dominance Mining, Metallurgy and Exploration (444ce330-9c49-45a1-9758-2c54438ceb81)By · J. B. Boisvert, O. Leuangthong, T. Acorn
Optimizing final pit limits for stochastic models provides access to geologic and economic uncertainty in the pit optimization stages of a mining project. This paper presents an approach for optimizin
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Managing Geologic Uncertainty in Pit Shell Optimization Using a Heuristic Algorithm and Stochastic Dominance Mining, Metallurgy and ExplorationBy · J. B. Boisvert, O. Leuangthong, T. Acorn
Optimizing final pit limits for stochastic models provides access to geologic and economic uncertainty in the pit optimization stages of a mining project. This paper presents an approach for optimizin
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Old insurance policies : An often unrecognized source of pollution liability insuranceBy Walter R. Curtner
Many, if not most, of today's pollution liability claims are related to events ("occurrences") that happened in the past. This fact creates an opportunity to obtain a large amount of insurance co
Jan 10, 1987
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Cross-Border Mineral Investment Activity In The Pacific RimBy C. R. Tinsley
Investment activity in the Pacific Rim of Fire has seen a phenomenal surge from epithermal gold exploration. Individual countries are attractive because of lower up-front minerals lease costs (US, Can
Jan 1, 1990
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Massive Tires Keep The Industry RollingOne of the biggest challenges for the mining industry is, quite literally, how to the keep the equipment rolling. There is a limited amount of companies that manufacture the 4.2-m- (14-ft-) tall, 5,
Jan 1, 2008
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Technology News – Using Satellite Technology to Find Precious MineralsBy Beverly Cramp
In 1995, mining engineer Alain Gachet thought about using Earth-observation satellite imagery to search for precious minerals. The latest radar Earth-observation satellite, Canada’s RADARSAT-1, had j
Jan 1, 2003
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Using the K.I.S.S. principle in ventilation modelingBy T. R. Paquin
Powerful, easy to manipulate, ventilation modeling software is readily available to most mining engineers. Too often when preparing an initial ventilation model, engineers will go overboard in their d
Jan 1, 2009
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Eskay Creek Mine and Mill – A Continuing SuccessBy Garry Biles
The Eskay Creek Mine is a high-grade gold and silver underground mine in northwestern British Columbia. The mine started operations in late1994. For the first three years, ore was crushed to -50 mm(-
Jan 1, 2000
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Computers And The Planning Of Dragline MinesBy Peter N. Calder, J. L. Workman
There are many opportunities for computers to assist in dragline mine planning. Three important areas particularly lend themselves to computer assisted study. These are overall mine design and plannin
Jan 1, 1989
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The Relationship Between Porphyry Copper Deposits And Post-Orogenic VolcanismBy Paul Cameron Gilmour
Geologically, as distinct from economically, "porphyry copper (molybdenum, gold, silver, etc.) deposits" might be defined as large, disseminated and/or stock-work occurrences of copper-minerals, gener
Jan 1, 1972
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Better Fragmentation Through Team Work At Dos Pobres Mine Safford, AZBy D. Brandt
The Dos Pobres Mine is a copper oxide heap-leach mine located near Safford, Arizona. Mine production is 180,000 tons (163,293 tonnes) per day with a stripping ratio of 2:1. During the startup pha
Jan 1, 2011
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Towards a More Cost Effective Mining Truck – Preprint 97-55By A. W. Dickerson, G. Hollier, F. A. Bartley
Following on from many years of research aimed at improving the effectiveness of truck haulage operations in mines operated by BHP Minerals, BHP Research developed a concept for an Innovative Large Mi
Feb 24, 1997
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Haul Truck Safety And Virtual Environments TrainingBy A. Schaum
On average, there are approximately 10 fatal haul truck accidents per year. The most common causes for haul truck accidents include mechanical problems, inadequate training and insufficient road/berm
Jan 1, 2008
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Optimization of Surface Mining Dig Limits with a Practical Heuristic Algorithm Mining, Metallurgy and Exploration (e8f12701-6e05-4369-9a27-d2734d7cf05f)By Y. V. Vasylchuk
This paper presents an algorithm for optimizing the classification of surface mine material subject to excavating constraints. High-resolution expected profit models are input and optimized to classif
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Optimization of Surface Mining Dig Limits with a Practical Heuristic Algorithm Mining, Metallurgy and ExplorationBy Y. V. Vasylchuk
This paper presents an algorithm for optimizing the classification of surface mine material subject to excavating constraints. High-resolution expected profit models are input and optimized to classif