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Mining Geostatistics [Paperback]

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Item description for Mining Geostatistics by J. Huijbregts, Andre G. Journel & Ch. J. Huijbregts...

"Geostatistics is the application of the formalism of random functions to the reconnaissance and estimation of natural phenomena."

With this definition, G. Matheron introduced the term geostatistics in 1962 to describe a scientific approach to evaluation problems in geology and mining, from ore reserve estimation to grade control. This approach provides, in application, a coherent and efficient set of techniques enabling the geologist, mining engineer or metallurgist to use available information and obtain more accurate estimates.

First published in 1978, this book was the first complete reference work on the subject of mining geostatistics, an attempt to synthesize the practical experience gained by researchers from the Centre de Morphologie Mathematique in France and by mining engineers and geologists all over the world who contributed their ideas. It was designed for students and engineers who wished to apply geostatistics to practical problems occurring in the lifetime of a mine and for this reason was built around typical problems, progressing from the simplest to the most complicated: structural analysis, guiding exploration, estimation of in situ resources and recoverable reserves, numerical models of deposits, simulation of mining and homogenization processes, ore grade control in production. The techniques developed are illustrated by a large number of case studies and, as an aid to the reader, each chapter begins with a summary of the contents and there is a guide to the notation used.

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Item Specifications...

Pages   600
Est. Packaging Dimensions:   Length: 1.5" Width: 5.75" Height: 8.75"
Weight:   1.9 lbs.
Binding  Softcover
Publisher   The Blackburn Press
ISBN  1930665911  
ISBN13  9781930665910  

Availability  64 units.
Availability accurate as of Oct 24, 2016 08:34.
Usually ships within one to two business days from La Vergne, TN.
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More About J. Huijbregts, Andre G. Journel & Ch. J. Huijbregts

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Product Categories

1Books > Special Features > New & Used Textbooks > Sciences > Earth Sciences
2Books > Subjects > Professional & Technical > Engineering > Civil > Mining
3Books > Subjects > Professional & Technical > Engineering > Environmental > Mining
4Books > Subjects > Professional & Technical > Professional Science > Earth Sciences > Geology
5Books > Subjects > Science > Earth Sciences > Prospecting & Mining
6Books > Subjects > Science > General

Reviews - What do customers think about Mining Geostatistics?

The previous reviewer is getting boring  Apr 10, 2006
As I search for texts for learning geostatistics, this gentleman's standard rant appears everywhere, copied verbatim, as welcome as a stubborn pop-up ad. He seldom discusses the specifics of the book in question, rather, he just dismisses the whole field. Well as long as we're at that level, I'd remind him Kurt Godel showed that it is impossible using usual methods to be certain that the axioms of arithmetic will not lead to contradictions. So I guess we should can anything based on arithmetic. I wonder if he also haunts the theology book review pages touting the lack of empircal proof for god's existence? It would be better to post one's intellectual grudges elsewhere.
Geostatistics: perpetual motion in data acquisition  May 11, 2004
Professor D G Krige was working at the Witwatersrand gold reef complex in South Africa in the early 1950s when he discovered that two or more gold assays, determined in samples selected at positions with different coordinates in a finite sample space, give an infinite set of distance-weighted average gold grades. Professor Dr G Matheron was so pleased with Krige's convenient method to augment sparse data in large sample spaces that he himself conferred on Krige the honorific "krige" eponym. Krige, Matheron and scores of nascent geostatisticians did not know in those innovative days that every distance-weighted average has its own variance simply because one-to-one correspondence between weighted averages and variances is inviolable in mathematical statistics. On the contrary, statistically dysfunctional geostatistians decided to replace the true variance of the SINGLE distance-weighted average with the pseudo kriging variance of a SET of degrees-of-freedom and variance-deprived functionally dependent kriged estimates. It makes no scientific sense whatsoever to assume spatial dependence, interpolate by kriging, smooth pseudo kriging variances, and rig the rules of mathematical statistics. In time, nobody may remember when and why the distance-weighted average became a kriged estimate. And who said what's in a name?
Invaluable  Jan 14, 2003
A pity this text has gone out of print if you are a student
or practitioner of geostatistics this book is a must have as a comprehensive guide to the subject written by the world leaders in this field. Buy now!

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