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).

This book offers a guide to the microscopic study of metallic ores with reflected light. It combines a rigorous approach with an attractive and easy-to-follow format, using high-quality calibrated photomicrographs to illustrate the use of color for ore identification. The ore identification methodology is updated with systematic color analysis and the application of new multispectral reflectance datasets, which offer an efficient tool for automated ore characterization. In addition, the first volume of this two-part work discusses the essential gangue minerals. Readers will gain familiarity with the method as they follow its application to over 200 selected minerals, comprising the most important ore (≈150) and gangue (≈50) minerals, which are described in the text. Each entry includes an explanatory text with corresponding color photomicrographs for each of the most common microscope settings, preceded by a table summarizing the ore’s main properties, and followed by spectral information in the visible and near-infrared ranges (specular reflectance values from 370 to 1000 nm). Some uncommon, strategic ores, e.g. columbotantalite (“coltan”) and monazite, receive particular attention or are described for the first time with reflected light. Lastly, the book presents a learning strategy for beginners and students. The approach is essentially practical, focusing on the development of observation skills, including self-checking through proposed practical tasks. In addition, the traditional use of determinative tables is critically reviewed and updated. This book is part of a two-volume work. The second volume focuses on intergrowths/textural analysis and interpretation, as well as computer-vision-based automation and applications to ore processing/geometallurgy. The intended audience includes professionals and engineers dealing with mineral resources, as well as postgraduate students. The book also provides lifelong learning support for freelancers and a valuable reference resource for practical university teaching.

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).

Provides an up-to-date introduction to the subject of ore microscopy, emphasizing the basic skills required for the study of opaque minerals in polished sections. Describes the modern ore microscope, the preparation of polished and polished-thin sections of opaque minerals and ores, and the identification of these minerals using both qualitative techniques and the quantitative methods of reflectance and microhardness measurement. Later sections discuss the interpretation of textural intergrowths of ore minerals and the determination of their paragenesis, along with the examination of coexisting minerals for determining their physio-chemical conditions of formation. Appendices contain the data necessary to identify approximately 100 of the more common ore minerals and those frequently encountered by the professional scientist.

A richly illustrated survey of rock microstructures in igneous, metamorphic and sedimentary rocks, from basic concepts to cutting-edge research.

First published in 1989. This book is designed to be an introduction to Ore microscopy, which is the traditional name for the study of opaque minerals using a polarising ‘incident light’ microscope. It is also known as reflected light microscopy. It has applications in the fields of mineralogy, economic geology, mineral dressing, metallurgy and in the study of igneous, metamorphic and sedimentary rocks which contain opaque minerals. Although mineral identification is an important aspect of the study of the opaque ores, an examination of the textures and structures is also valuable.