© 2002

Geostatistics Rio 2000

Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000

  • M. Armstrong
  • C. Bettini
  • N. Champigny
  • A. Galli
  • A. Remacre
Conference proceedings

Part of the Quantitative Geology and Geostatistics book series (QGAG, volume 12)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Introduction

    1. M. Armstrong, C. Bettini, N. Champigny, A. Galli, A. Remacre
      Pages 1-5
  3. Petroleum Papers

    1. C. Ravenne, A. Galli, B. Doligez, H. Beucher, R. Eschard
      Pages 19-39
    2. P. E. Patterson, T. A. Jones, C. J. Donofrio, A. D. Donovan, J. D. Ottmann
      Pages 41-52
    3. I. Azpiritxaga, A. Correa, E. Hernandez, A. Galli, C. Ravenne, Z. Jimenez et al.
      Pages 53-67
    4. J. M. Yarus, K. Yang, K. Kramer
      Pages 69-84
  4. Mining Papers

    1. T. Skvortsova, H. Beucher, M. Armstrong, J. Forkes, A. Thwaites, R. Turner
      Pages 85-99
    2. Roger Luis Stangler, Adelir José Strieder, Jair Carlos Koppe, João Felipe Costa, Margaret Armstrong
      Pages 133-148
    3. Francisco Silva, Amílcar Soares, Di Ogo Caupers
      Pages 149-161
    4. Normand Champigny, Patricio Cuadra, Guillermo Ferraz, Aldo Moraga
      Pages 163-176
  5. Back Matter
    Pages 225-237

About these proceedings


Geostatistics Rio 2000 includes fifteen contributions, five of which are on applications in petroleum science and ten are on mining geostatistics. These contributions were presented at the 31st International Geological Congress, held in Rio de Janeiro, Brazil, from 6-17 August, 2000. Stochastic simulation was the key theme of these case studies. A wide range of methods was used: truncated gaussian and plurigaussian, SIS and SGS, boolean methods and multi-point attractors.

Audience: The volume will be of value to scientists, researchers, and professionals in geology, mining engineering, petroleum engineering, mathematics and statistics, as well as those working for mining and oil companies.


3D Kriging Sediment databases fluvial geologic modelling simulation statistics

Editors and affiliations

  • M. Armstrong
    • 1
  • C. Bettini
    • 2
  • N. Champigny
    • 3
  • A. Galli
    • 1
  • A. Remacre
    • 4
  1. 1.Centre de GéostatistiqueEcole des Mines de ParisFrance
  2. 2.Department of GeologyUniversidade Federal do Rio de JaneiroBrazil
  3. 3.Pricewaterhouse Coopers LLPMontrealCanada
  4. 4.Institute of GeosciencesUNICAMPCampinasBrazil

Bibliographic information

Industry Sectors
Materials & Steel
Oil, Gas & Geosciences


From the reviews:

"This book is a collection of papers presented at a conference in Rio de Janeiro in August 2000. … A significant feature of all these papers, including the reservoir modeling papers, is the focus on the specific applications … . All of the papers also have a wealth of visual displays. Because geostatistical modeling practitioners commonly use color as a significant characteristic of any display … ." (Technometrics, Vol. 47 (4), November, 2005)