Search Documents
Search Again
Search Again
Refine Search
Refine Search
-
Maintenance Management: Minimizing Risk to ProfitabilityBy Paul D. Tomlingson
Modern production equipment has been designed with greater productive capacity and higher reliability to meet the rigorous operating demands of the mining industry. These improvements have also made
Jan 1, 2005
-
Characterisation of Ore Crushability Using Petrophysical PropertiesBy P Fullagar
Automated multi-sensor core loggers (MSCL) measure petrophysical properties of diamond drill cores, including gamma density, P-wave velocity, electrical conductivity and magnetic susceptibility. A Geo
Jan 1, 2009
-
Introduction To Nuasahi Chromite Mine ? An Under Ground Chromite MineBy Vinay Kumar Agrawal, Rama Nath Praharaj
IMFA Group is the largest producer of Charge chrome not only in India but also in Asia. This Group has plants situated at Therubali and at Choudwar. They also have a Thermal power plant at Choudwar wh
Jan 1, 2007
-
-
Base Metal Mineralisation on Northern Great Barrier IslandBase metal sulphide mineralisation on the northern end of Great Barrier Island is spatially associated with hypabyssal intermediate to acidic intrusives, in transgressive structures in indurated, comp
Jan 1, 1984
-
RI 4066 Bessemer Iron Project, San Bernardino Co. CABy F. J. Wiebel
"INTRODUCTION As a result of a general survey of the iron-ore deposits of Califor¬nia, the Bessemer was one shown to offer possibilities of developing com¬mercial ore reserves. Surveying and exploring
May 1, 1947
-
The Influence of a Continuous Mining Machine and Roof/Rib Mesh on Magnetic Proximity Detection Systems Mining, Metallurgy and ExplorationBy Jacob Carr, Christopher C. Jobes, Chenming Zhou, LaTasha R. Swanson, Jennica Bellanca, Jingcheng Li
Magnetic proximity detection systems (PDSs) are used with continuous mining machines (CMMs) to protect miners from striking and pinning accidents. Generators are used in a PDS to create magnetic field
-
The Influence of a Continuous Mining Machine and Roof/Rib Mesh on Magnetic Proximity Detection Systems Mining, Metallurgy and Exploration (f3f9caae-7ddd-4734-aba6-75a1893d7f35)By Jacob Carr, Christopher C. Jobes, Chenming Zhou, LaTasha R. Swanson, Jennica Bellanca, Jingcheng Li
Magnetic proximity detection systems (PDSs) are used with continuous mining machines (CMMs) to protect miners from striking and pinning accidents. Generators are used in a PDS to create magnetic field
-
Processing low-grade coal to produce high-grade productsBy G. J. de Korte
South Africa’s best-quality coal, located in the central Highveld basin, is becoming depleted and alternative sources of coal, such as the Waterberg coalfield, will have to be developed to supply the
Jan 1, 2015
-
Preparation Characteristics Of Some Coals Available For The Synthetic Liquid Fuels Industry ? IntroductionBy Thomas Fraser
WHEN the Bureau of Mines initiated the program of large-scale research and development in the field of synthetic liquid fuels authorized in the Synthetic Liquid Fuels Act of April 5, 1044, the Coal Pr
Jan 1, 1950
-
Case Studies on Circuit Design Using Flotation ColumnsBy Glenn S. Dobby, Glenn A. Kosick
"Column flotation circuit engineering has matured to a good level of understanding regarding testing, scale-up and design. Some of the factors important to the process of implementing columns are addr
Jan 1, 1995
-
Mine Pillar Stability Analysis Using Fem Methods - Two Case StudiesBy David H. Tang
Massive pillar failures were observed at two underground coal mines. The results of stability analysis using traditional pillar design formulae did not agree with the underground observations. Finite
Jan 1, 1990
-
Standing And Special Committees (ad0742f1-78a4-49b1-80c0-2579c7d2f4e3)[Executive J. V. W. REYNDERS, Chairman WILLIAM H. BASSETT E. DEGOLYER I-I. C. BELLINGER RICHARD PETERS, JR. Finance GEORGE OTIS SMITH, Chairman H. A. GUESS F. JULIUS FOHS Admissions
Jan 1, 1928
-
Will Geophysical Technologies Return to U.S. Coal Fields?By Lawrence M. Gochioco
One of the best kept technology secrets in U.S coalmining history involved a robust coal geophysics program used by a local coal company to detect and map various geologic anomalies and man-made struc
Jan 1, 2005
-
Classification of quartz veins in turbiditehosted gold deposits, greenschist facies, eastern Nova ScotiaBy S. J. Haynes
"This paper documents the characteristics of the different quartz veins, and their relation to gold, in the turbiditic Meguma domain of eastern Nova Scotia. Eleven different types have been distinguis
Jan 1, 1987
-
Recuperación del oro de lodos anódicos de electro-refinación de cobre en la refinería de IloBy Valentín Pamo Caytano
La electrorefinación en un electrolito de CuSO4 - H2SO4 es usado universalmente para producir cobre de alta pureza a partir de los ánodos impuros. Aunque una parte de las impurezas se disuelve durante
Sep 12, 2011
-
RI 4155 Investigation of the Iron-Bearing Formation of the Western Gogebic Range, Iron County. WISBy Clyde L. Holmberg, Paul Zinner
"INTRODUCTION In view of the large tonnage of low-grade iron ore and iron-bearing material known to exist at the western limits of the Gogebic range, the Bureau of Mines undertook an investigation of
Dec 1, 1947
-
Underground Mining Methods at Prgera MineThe Porgera Joint Venture commenced production during September 1990. A small tonnage underground mine extracts high grade gold ore using small scale stopes. Conventional drill and blast methods a
Jan 1, 1991
-
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
-
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