Handbook Of Applied Advanced Geostatistical Ore Reserve Estimation
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Handbook Of Applied Advanced Geostatistical Ore Reserve Estimation
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Author : Michel David
language : en
Publisher: Amsterdam ; New York : Elsevier : Distributors for the United States and Canada Elsevier Science
Release Date : 1988
Handbook Of Applied Advanced Geostatistical Ore Reserve Estimation written by Michel David and has been published by Amsterdam ; New York : Elsevier : Distributors for the United States and Canada Elsevier Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Reference categories.
Distribution related problems. Variogram related problems. Block variances. Estimation variance. Kriging. Recoverable reserves. Applied simulation. Classification of ore reserves. Check samples and duplicates.
Handbook Of Applied Advanced Geostatistical Ore Reserve Estimation
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Author : Michel David
language : en
Publisher:
Release Date : 1988
Handbook Of Applied Advanced Geostatistical Ore Reserve Estimation written by Michel David and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Earth sciences categories.
Applied Mineral Inventory Estimation
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Author : Alastair J. Sinclair
language : en
Publisher: Cambridge University Press
Release Date : 2006-01-19
Applied Mineral Inventory Estimation written by Alastair J. Sinclair and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-19 with Technology & Engineering categories.
Presents an applied approach to the estimation of mineral resources/reserves. It is suitable for any university or mining school that offers courses on mineral resource/reserve estimation. It will also be valuable for professional mining and geological engineers and geologists working with mineral exploration companies.
Evaluation Of Mineral Reserves
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Author : Andre G. Journel
language : en
Publisher: Oxford University Press
Release Date : 2004-05-27
Evaluation Of Mineral Reserves written by Andre G. Journel and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-27 with Science categories.
This book addresses the practice of geostatistical simulation to evaluation of mineral reserves, prediction of recovered tonnages and mineral grades and the impact of mining dilution. Such prediction is absolutely critical for mine planning and investment decisions, yet it cannot be made on maps directly interpolated from present data. Various dilution factors need to be introduced to account for · the support effect: mining unit volumes are vastly different from composite data unit volumes · the information effect: future selection of ore/waste will be based on vastly different data than that presently available. Geostatistical simulations allow a rigorous evaluation of these effects on reserves recovery. These stochastic simulations have the potential to be for the mining industry what a wind tunnel is for aircraft design. This book is written by two expert geostatisticians--Journel is the pioneer of mining geostatistics--and established academics.
Mineral Resource Estimation
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Author : Mario E. Rossi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-21
Mineral Resource Estimation written by Mario E. Rossi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Science categories.
Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.
Mineral Resource And Ore Reserve Estimation
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Author : A. C. Edwards
language : en
Publisher:
Release Date : 2001
Mineral Resource And Ore Reserve Estimation written by A. C. Edwards and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Electronic books categories.
Geostatistics
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Author : Jean-Paul Chilès
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Geostatistics written by Jean-Paul Chilès and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Introduction To Geostatistics
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Author : P. K. Kitanidis
language : en
Publisher: Cambridge University Press
Release Date : 1997-05-13
Introduction To Geostatistics written by P. K. Kitanidis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-13 with Science categories.
Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study.
Geostatistics Oslo 2012
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Author : Petter Abrahamsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-05-08
Geostatistics Oslo 2012 written by Petter Abrahamsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-08 with Science categories.
This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data.
Advanced Mapping Of Environmental Data
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Author : Mikhail Kanevski
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-10
Advanced Mapping Of Environmental Data written by Mikhail Kanevski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-10 with Social Science categories.
This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.