Quantitative Analysis of Mineral and Energy Resources

  • C. F. Chung
  • A. G. Fabbri
  • R. Sinding-Larsen

Part of the NATO ASI Series book series (ASIC, volume 223)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Integration of Data for Resource Evaluation

  3. Statistical Analysis of Geochemical Data

  4. Statistical Mehtods for Oil and Gas Resource Evaluation

  5. Image Processing in Earth Sciences

  6. Statistical Analysis of Spatial Data

  7. Geostatistics

  8. Other Statisitcal Methodologies for Geoscience Data

    1. G. Andreatta, G. M. Kaufman, R. G. McCrossan, R. M. Procter
      Pages 411-431
    2. DeVerle P. Harris
      Pages 459-488
  9. Artificial Intelligence in Earth Sciences

  10. Other Contributed Papers

  11. Workshop Reports

    1. J. C. Griffiths, F. P. Agterberg, L. Carbognin, A. Carrara, DeVerle P. Harris, M. Ozcelik et al.
      Pages 689-693
    2. G. M. Kaufman, R. A. Crovelli, S. Chow, J. D. Grace, R. Sinding-Larsen, B. H. Sollie et al.
      Pages 695-700
    3. B. D. Ripley, A. R. Solow, C. F. Chung, J. C. Davis, H. K. Omre, P. Switzer et al.
      Pages 701-706
    4. G. S. Koch Jr., A. N. Campbell, A. G. Fabbri, W. Lanyon, H. G. Pereira, M. J. Shulman et al.
      Pages 707-713
    5. D. F. Merriam, P. G. Sutterlin, U. Artan, G. Bortoluzzi, M. T. Holroyd, F. Muge et al.
      Pages 715-720
  12. Back Matter
    Pages 721-738

About this book


This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini­ and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.


Europe classification data analysis distribution earthquake prediction formation geology geoscience geostatistics mineral resources modeling morphology ocean regression analysis statistics

Editors and affiliations

  • C. F. Chung
    • 1
  • A. G. Fabbri
    • 2
  • R. Sinding-Larsen
    • 3
  1. 1.Geological Survey of CanadaOttawaCanada
  2. 2.Canada Centre for Remote SensingOttawaCanada
  3. 3.Norwegian Institute of TechnologyTrondheimNorway

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1988
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-8288-4
  • Online ISBN 978-94-009-4029-1
  • Series Print ISSN 1389-2185
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Oil, Gas & Geosciences