The Art And Science Of Resource Estimation
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Author | : Jacqui Coombes |
Publisher | : |
Total Pages | : 231 |
Release | : 2008 |
Genre | : Geology, Economic |
ISBN | : 9780980490800 |
"Geostatistics, mining resource estimation, spatial statistics in mining industry."--Provided by publisher.
Author | : Jacqui Coombes |
Publisher | : |
Total Pages | : 250 |
Release | : 2010 |
Genre | : Geology, Economic |
ISBN | : 9780980490824 |
Author | : Mario E. Rossi |
Publisher | : Springer Science & Business Media |
Total Pages | : 337 |
Release | : 2013-12-21 |
Genre | : 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 |
Total Pages | : 480 |
Release | : 2013-10-22 |
Genre | : 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 |
Total Pages | : 422 |
Release | : 2016-05-10 |
Genre | : 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 | : B. L. Chatterji |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : 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.
Author | : Jacqui Coombes |
Publisher | : |
Total Pages | : |
Release | : 2016-01-01 |
Genre | : Mineral industries |
ISBN | : 9780980490831 |
Critiquing approaches to estimating mineral resources for the mining industry by comparing methods, parameters and strategies.
Author | : Jefferson W. Tester |
Publisher | : MIT Press |
Total Pages | : 884 |
Release | : 2005 |
Genre | : 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 | : Ne-Zheng Sun |
Publisher | : Springer |
Total Pages | : 638 |
Release | : 2015-07-01 |
Genre | : 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 | : Fredrik Søreide |
Publisher | : Saint Philip Street Press |
Total Pages | : 136 |
Release | : 2020-10-09 |
Genre | : |
ISBN | : 9781013294204 |
"Copper, zinc, gold and silver mineralizations exist on the deep ocean floor, at great depths, on the Mid-Atlantic Ridge between Jan Mayen and Spitsbergen. None of these mineralizations within Norwegian jurisdiction have been thoroughly investigated yet, but they are likely to contain significant amounts of minerals and metals crucial to society and the 'Green Shift'. Should these mineralizations, which contain minerals and metals that you and I use every day, be developed and mined? The question is premature: we need to know more before we can answer it. We need to know more about the formation, location and characteristics of these potential deposits, as well as the environmental, social and financial consequences of potential extraction. We need to evaluate mining alternatives and how to process the extracted ore. How should we answer this question? The ultimate decisions will be determined politically, and knowledge will be the defining factor. Knowledge gained from proper mineral resource management. Quantifying the Unknown sets out to estimate the amount of minerals and metals on the deep ocean floor along the Mid-Atlantic Ridge, in particular, copper, zinc, gold and silver contained in so-called 'seafloor massive sulphide deposits'. These deposits are modern analogues of those mined worldwide on land today. The method used to quantify the amounts of these resources is known as 'play analysis'. It shares aspects of methodologies used on land for similar purposes and has been employed extensively to assess untapped petroleum resources on the Norwegian Continental Shelf. Play analysis enables a quantification of the potential as well as associated uncertainty. The potential is large, but the uncertainty is also significant. Whether and how this potential is realized remains to be seen." This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.