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" 4 Volumes covering 19 subjects with an extensive summary on each subject " 10 years (1999 - 2008) question papers of All India PGMEE and AIIMS PGMEE with answers and explanations This book offers you 6 months FREE access to the Elsevier ExamZoneTM website specially designed for PGME preparations" Monthly Mock Tests with answers, explanations and a subject wise performance summary " Simulated tests of recently concluded PGME exams" Ask an Expert to clarify your doubts " List of medical institutes offering PG courses " Exam calender updates you with the upcoming exams, application availability, due date for form submissions, etc. Elsevier ExamZoneTM is a brand developed to focus on exam preparatory materials and testing tools.All rights in the trademark ExamZone" are reserved with Reed Elsevier India Pvt. Ltd
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.
First multi-year cumulation covers six years: 1965-70.
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Geoscientists and Engineers taking an interest in Petrophysics, are struck by the contrasting treatment of the Physics Aspects and the Geology Aspects. If we are to scale up isolated petrophysical observations to an entire oil reservoir or an aquifer, it is essential to implement the powerful extrapolation tool of geological interpretation. This is clearly based on a good understanding of the relations between the petrophysical parameters studied and the petrological characteristics of the rock considered. The book is divided into two sections of different size. The first section (by far the largest) describes the various petrophysical properties of rocks. Each property is defined, limiting the mathematical formulation to the strict minimum but emphasising the geometrical and therefore petrological parameters governing this property. The second section concentrates on methodological problems and concerns, above all, the representativeness of the measurements and the size effects. The notions of Representative Elementary Volume, Homogeneity, Anisotropy, RockType, etc. provide a better understanding of the problems of up-scaling (Plug, Core, Log Analysis, Well Test). Lastly, we provide a description of several Porous Network investigation methods:Thin section, Pore Cast, Visualization of capillary properties, X-ray tomography.