Book Description
"Geostatistics, mining resource estimation, spatial statistics in mining industry."--Provided by publisher.
Author : Jacqui Coombes
Publisher :
Page : 231 pages
File Size : 10,20 MB
Release : 2008
Category : Geology, Economic
ISBN : 9780980490800
"Geostatistics, mining resource estimation, spatial statistics in mining industry."--Provided by publisher.
Author : Jacqui Coombes
Publisher :
Page : 250 pages
File Size : 44,48 MB
Release : 2010
Category : Geology, Economic
ISBN : 9780980490824
Author : Mario E. Rossi
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 39,11 MB
Release : 2013-12-21
Category : Science
ISBN : 1402057172
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.
Author : G. Gaal
Publisher : Elsevier
Page : 480 pages
File Size : 32,7 MB
Release : 2013-10-22
Category : Technology & Engineering
ISBN : 1483287084
Quantitative resource assessment methods play an increasing role in exploration for petroleum, water and minerals. This volume presents an international review on the state-of-the-art of the computerized methodology in resource exploration. The papers taken from those presented at the symposium are classified to either techniques, i.e., trend analysis; classification techniques; geostatistics; image analysis; expert systems/artificial intelligence; inventories; tomography and others, or to resources, i.e., petroleum, water, metals and non-metals.
Author : S. M. Gandhi
Publisher : Elsevier
Page : 422 pages
File Size : 16,52 MB
Release : 2016-05-10
Category : Science
ISBN : 0128053321
Essentials of Mineral Exploration and Evaluation offers a thorough overview of methods used in mineral exploration campaigns, evaluation, reporting and economic assessment processes. Fully illustrated to cover the state-of-the-art exploration techniques and evaluation of mineral assets being practiced globally, this up-to-date reference offers balanced coverage of the latest knowledge and current global trends in successful mineral exploration and evaluation. From mineral deposits, to remote sensing, to sampling and analysis, Essentials of Mineral Exploration and Evaluation offers an extensive look at this rapidly changing field. - Covers the complete spectrum of all aspects of ore deposits and mining them, providing a "one-stop shop" for experts and students - Presents the most up-to-date information on developments and methods in all areas of mineral exploration - Includes chapters on application of GIS, statistics, and geostatistics in mineral exploration and evaluation - Includes case studies to enhance practical application of concepts
Author : Jacqui Coombes
Publisher :
Page : pages
File Size : 19,39 MB
Release : 2016-01-01
Category : Mineral industries
ISBN : 9780980490831
Critiquing approaches to estimating mineral resources for the mining industry by comparing methods, parameters and strategies.
Author : Ne-Zheng Sun
Publisher : Springer
Page : 638 pages
File Size : 31,36 MB
Release : 2015-07-01
Category : Mathematics
ISBN : 1493923234
This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can be used as a reference for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for professionals such as petroleum engineers, mining engineers, chemists, mechanical engineers, biologists, biology and medical engineering, applied mathematicians, and others who perform mathematical modeling.
Author : John J. Marciniak
Publisher : Wiley-Interscience
Page : 1034 pages
File Size : 33,50 MB
Release : 2002
Category : Computers
ISBN :
Covering all aspects of engineering for practitioners who design, write, or test computer programs, this updated edition explores all the issues and principles of software design and engineering. With terminology that adheres to the standard set by The Institute of Electrical and Electronics Engineers (IEEE), the book features over 500 entries in 35 taxonomic areas, as well as biographies of over 100 personalities who have made an impact in the field.
Author : Jefferson W. Tester
Publisher : MIT Press
Page : 884 pages
File Size : 36,24 MB
Release : 2005
Category : Nature
ISBN : 9780262201537
Evaluates trade-offs and uncertainties inherent in achieving sustainable energy, analyzes the major energy technologies, and provides a framework for assessing policy options.
Author : B. L. Chatterji
Publisher :
Page : 0 pages
File Size : 11,70 MB
Release : 2016
Category : Geology
ISBN : 9781681171470
The process of estimating a Mineral Resource can only take place after the estimator is convinced of the soundness of the fundamentals underlying the estimation process. Thus the database of sampling, density, and other quality data for both estimation and geological interpretation must have integrity and robustness ; the geological data must be sufficiently complete for the definition of a geological model; the geological model itself must have internal consistency, should explain the observed arrangement of lithological and mineralogical domains, and should represent the estimator's best knowledge of the genesis of the mineral deposit; and the geological model should support the distribution of mineralisation seen in the sampling. It is only at this stage that a resource model may be generated.