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Statistical Models for Optimizing Mineral Exploration

  • Book
  • © 1987

Overview

Authors:
  1. T. K. Wignall

    1. University of Guam, Mangilao, Guam

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  2. J. Geoffroy

    1. Geostatistics, Eden, Australia

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
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  2. Application of Computerized Geomathematical Models to the Optimization of Exploration Programs

    • T. K. Wignall, J. De Geoffroy
    Pages 1-31

  3. Deterministic, Heuristic and Univariate Stochastic Models Used for Optimizing Mineral Exploration

    • T. K. Wignall, J. De Geoffroy
    Pages 32-96

  4. Statistical Pooling of Regions to Assist the Optimization of World-Wide Ore Search Programs

    • T. K. Wignall, J. De Geoffroy
    Pages 97-126

  5. Probabilistic Models for the Optimal Detection of Ore Deposits by Airborne and Ground Exploration Programs

    • T. K. Wignall, J. De Geoffroy
    Pages 127-184

  6. Application of the General Linear Model (GLM) and Operations Research (OR) Models to the Optimization of Field Exploration and Development Planning

    • T. K. Wignall, J. De Geoffroy
    Pages 185-249

  7. Multivariate Bayesian Classification Models: Application to the Optimal Selection of Prospecting Areas and Exploration Targets

    • T. K. Wignall, J. De Geoffroy
    Pages 250-288

  8. Summary — Conclusion: The Expert System

    • T. K. Wignall, J. De Geoffroy
    Pages 289-292

  9. Back Matter

    Pages 293-432
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Keywords

About this book

After the spectacular successes of the 1960's and 1970's, the mineral exploration business is at a crossroads, facing uncertain t:imes in the decades ahead. This situation requires a re-thinking of the philosophy guiding mineral exploration if it is to emulate its recent performance. The ma:i. n argument of a previous volume titled "Designing Opt:lmal Strategies for Mineral Exploration", published in 1985 by Plenum Publishing Corporation of New York, is that a possible answer to the challenge facing mineral explorationists lies in the philosophy of opt:irn1zation. This new approach should help exploration staff make the best achievable use of the sophisticated and costly technology which is presently available for the detection of ore deposits. The main emphasis of the present volume is placed on the mathematical and computational aspects of the opt:irn1zation of mineral exploration. The seven chapters making up the ma:i. n body of the book are devoted to the description and application of various types of computerized geomathematical models which underpin the optimization of the mineral exploration sequence. The topics covered include: (a) the opt:lmal selection of ore deposit types and regions of search, as well as prospecting areas within the regions (Chapters 2, 3, 4, 6), (b) the designing of airborne and ground field programs for the opt:lmal coverage of prospecting areas (Chapters 2, 3, 4), (c) delineation and evaluation of exploration targets within prospecting areas by means of opt:irn1zed models (Chapter 5).

Authors and Affiliations

  • University of Guam, Mangilao, Guam

    T. K. Wignall

  • Geostatistics, Eden, Australia

    J. Geoffroy

Bibliographic Information

  • Book Title: Statistical Models for Optimizing Mineral Exploration

  • Authors: T. K. Wignall, J. Geoffroy

  • DOI: https://doi.org/10.1007/978-1-4613-1861-3

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Plenum Press, New York 1987

  • Hardcover ISBN: 978-0-306-42542-4Due: 31 March 1987

  • Softcover ISBN: 978-1-4612-9038-4Published: 13 October 2011

  • eBook ISBN: 978-1-4613-1861-3Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: 444

  • Topics: Mineralogy

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