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Mineral Resource Estimation, by Mario E. Rossi, Clayton V. Deutsch
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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.
- Sales Rank: #934393 in Books
- Published on: 2013-12-21
- Original language: English
- Number of items: 1
- Dimensions: 10.75" h x 8.25" w x 1.00" l, .0 pounds
- Binding: Hardcover
- 332 pages
From the Back Cover
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Offers good, better
By Jesse DW
Offers good, better, and best practice guidelines at the end of each chapter. Covers the science behind the art of mineral resource estimation. Recommended.
0 of 0 people found the following review helpful.
A book that was long overdue for the people in industry
By Abani Ranjan Samal
A wonderful summary.
The only thing that I could not find in the book, but in my wish list is to address the "misconceptions" such as using NN model to evaluate "conditional bias" etc.
0 of 0 people found the following review helpful.
Four Stars
By Ismail
Useful book for estimation of mining reserves
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