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Geostatistical Case Studies

  • Book
  • © 1987

Overview

Editors:
  1. G. Matheron

    1. Centre de Géostatistique, Fontainebleau, France

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    You can also search for this editor in PubMed   Google Scholar

  2. M. Armstrong

    1. Centre de Géostatistique, Fontainebleau, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Quantitative Geology and Geostatistics (QGAG, volume 2)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-vii
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  2. Computing Variograms on Uranium Data

    • Jacques Rivoirard
    Pages 1-22

  3. The Comparison between the Gamma Logs and the Grades in the Estimation of a Uranium Deposit

    • Pierre Chauvet
    Pages 23-37

  4. Geostatistical Estimation of a Section of the Perseverance Nickel Deposit

    • P. A. Dowd, D. W. Milton
    Pages 39-67

  5. Multipurpose Geostatistical Modelling of a Bauxite Orebody in Sardinia

    • G. Capello, M. Guarascio, A. Liberta, L. Salvato, G. Sanna
    Pages 69-92

  6. Application of Kriging to the Mapping of a Reef from Wireline Logs and Seismic Data; A Case History

    • Laurent Moinard
    Pages 93-103

  7. Study of a Gas Reservoir Using the External Drift Method

    • Alain Galli, Gilbert Meunier
    Pages 105-119

  8. The Grade-Tonnage Curves for a Zinc Mine in France

    • Ch. Kavourinos
    Pages 121-133

  9. Conditioning by the Panel Grade for Recovery Estimation of Non-Homogeneous Orebodies

    • Armando Zaupa Remacre
    Pages 135-148

  10. Recoverable Reserves Estimation at an Australian Gold Project

    • Daniel Guibal
    Pages 149-168

  11. Comparing Estimated Uranium Grades with Production Figures

    • H. Sans, J. R. Blaise
    Pages 169-185

  12. Global Recoverable Reserves: Testing Various Changes of Support Models on Uranium Data

    • C. Demange, Ch. Lajaunie, Ch. Lantuejoul, J. Rivoirard
    Pages 187-208

  13. Calculating Ore Reserves Subject to Mining Constraints, for a Uranium Deposit

    • L. de Chambure, Ch. de Fouquet, H. Fraisse
    Pages 209-246

  14. Back Matter

    Pages 247-248
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Keywords

About this book

It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis­ tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci­ pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis­ ticated techniques into practice in their own fields.

Editors and Affiliations

  • Centre de Géostatistique, Fontainebleau, France

    G. Matheron, M. Armstrong

Bibliographic Information

  • Book Title: Geostatistical Case Studies

  • Editors: G. Matheron, M. Armstrong

  • Series Title: Quantitative Geology and Geostatistics

  • DOI: https://doi.org/10.1007/978-94-009-3383-5

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1987

  • Hardcover ISBN: 978-1-55608-019-7Published: 28 February 1987

  • Softcover ISBN: 978-94-010-8018-7Published: 03 October 2013

  • eBook ISBN: 978-94-009-3383-5Published: 06 December 2012

  • Series ISSN: 0924-1973

  • Series E-ISSN: 2215-1834

  • Edition Number: 1

  • Number of Pages: VII, 248

  • Number of Illustrations: 75 b/w illustrations

  • Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

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