Last edited by Tukora
Monday, May 11, 2020 | History

4 edition of Mining explained found in the catalog.

Mining explained

Mining explained

a guide to prospecting and mining

  • 141 Want to read
  • 29 Currently reading

Published by Northern Miner Press in Toronto .
Written in English

    Subjects:
  • Mineral industries -- Canada.,
  • Mining engineering -- Canada.,
  • Prospecting -- Canada.

  • Edition Notes

    Statementby The Northern Miner.
    ContributionsWhiteway, Patrick., Loree, Thomas., Northern Miner Press.
    Classifications
    LC ClassificationsTN26 .N67 1990
    The Physical Object
    Paginationxi, 133 p. :
    Number of Pages133
    ID Numbers
    Open LibraryOL18553285M
    ISBN 100919336310

    Mining is the extraction (removal) of minerals and metals from earth. Manganese, tantalum, cassiterite, copper, tin, nickel, bauxite (aluminum ore), iron ore, gold, silver, and diamonds are just some examples of what is mined. Mining is a money making business. Not only do mining companies prosper, but governments also make money from :// Solution mining includes both borehole mining, such as the methods used to extrac t sodium chloride or sulfur, and leaching, either through drillholes or in dumps or heap s on the surface. 2

      Mining explained: a guide to prospecting and mining, by The Northern Miner ; Patrick Whiteway, editor ; Thomas Lorec, assistant editor. , Toronto Public ?R= Get this from a library! Mining explained: a guide to prospecting and mining. [Thomas Loree; Patrick Whiteway; Northern Miner Press.;] -- A book written for lay readers interested in mining. Covers all aspects of mining in Canada, giving information on the science of mineral extracting, the fundamentals of geology, the economics and

    Bitcoin mining is the process by which new bitcoins are entered into circulation, but it is also a critical component of the maintenance and development of the blockchain :// Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation,


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