This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.
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Ricardo Castroviejo, Professor Emeritus of Mineralogy and Ore Geology at the Superior School of Mines, Technical University of Madrid, has over 40 years of research and teaching experience in Mineral Raw Materials. He has been a postgraduate fellow, visitor or invited professor in Heidelberg, Nancy, Sao Paulo, Reno (Nevada), Lima, Bochum, etc. After completing his PhD (1974), he worked on industrial projects for more than 10 years before joining the university in 1987. He has over 150 publications on the Mineralogy and Genesis of Ore Deposits, Mining Exploration and Geometallurgy, with an emphasis on Ore Microscopy, to his credit.
This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a clearly structured, systematic scheme for textural characterization and interpretationShowcases automation with important innovations, including multispectral reflectance values in the VNIR rangeAllows professionals to update thei. Bestandsnummer des Verkäufers 706732209
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.This second volume of the book 'A Practical Guide to Ore Microscopy' includes references, indexes, and other relevant information, plus Annexes 1 to 5. The latter include ore and gangue mineral indexes and mineral abbreviations (Annex 1), a brief compendium of common mineral associations in the main ore deposit types (Annex 2), an introduction to the procedures and techniques used to prepare polished sections (Annex 3), and the various tables used to identify common ores by direct microscopic observation (Annexes 4 and 5). 320 pp. Englisch. Bestandsnummer des Verkäufers 9783031189531
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Buch. Zustand: Neu. A Practical Guide to Ore Microscopy-Volume 2 | Ore Textures and Automated Ore Analysis | Ricardo Castroviejo | Buch | xi | Englisch | 2023 | Springer | EAN 9783031189531 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 124272155
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch. Bestandsnummer des Verkäufers 9783031189531
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.This second volume of the book 'A Practical Guide to Ore Microscopy' includes references, indexes, and other relevant information, plus Annexes 1 to 5. The latter include ore and gangue mineral indexes and mineral abbreviations (Annex 1), a brief compendium of common mineral associations in the main ore deposit types (Annex 2), an introduction to the procedures and techniques used to prepare polished sections (Annex 3), and the various tables used to identify common ores by direct microscopic observation (Annexes 4 and 5). Bestandsnummer des Verkäufers 9783031189531
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