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Geostatistics Rio 2000

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

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. M. Armstrong

    1. Centre de Géostatistique, Ecole des Mines de Paris, France

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  2. C. Bettini

    1. Department of Geology, Universidade Federal do Rio de Janeiro, Brazil

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  3. N. Champigny

    1. Pricewaterhouse Coopers LLP, Montreal, Canada

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  4. A. Galli

    1. Centre de Géostatistique, Ecole des Mines de Paris, France

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  5. A. Remacre

    1. Institute of Geosciences, UNICAMP, Campinas, Brazil

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

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Table of contents (16 papers)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    1. Introduction

      • M. Armstrong, C. Bettini, N. Champigny, A. Galli, A. Remacre
      Pages 1-5

  3. Petroleum Papers

    1. Using Quantitative Outcrop Databases as a Guide for Geological Reservoir Modelling

      • R. Eschard, B. Doligez, H. Beucher
      Pages 7-17

    2. Quantification of Facies Relationships Via Proportion Curves

      • C. Ravenne, A. Galli, B. Doligez, H. Beucher, R. Eschard
      Pages 19-39

    3. Geologic Modelling of External and Internal Reservoir Architecture of Fluvial Depositional Systems

      • P. E. Patterson, T. A. Jones, C. J. Donofrio, A. D. Donovan, J. D. Ottmann
      Pages 41-52

    4. Impact of Seismic Constraints on a Stochastic Reservoir Model and Fluid Flow Simulation

      • I. Azpiritxaga, A. Correa, E. Hernandez, A. Galli, C. Ravenne, Z. Jimenez et al.
      Pages 53-67

    5. Practical Workflows for Reservoir Modelling

      • J. M. Yarus, K. Yang, K. Kramer
      Pages 69-84

  4. Mining Papers

    1. Simulating the Geometry of a Granite-Hosted Uranium Orebody

      • T. Skvortsova, H. Beucher, M. Armstrong, J. Forkes, A. Thwaites, R. Turner
      Pages 85-99

    2. Simulation of Weathered Iron Ore Facies: Integrating Leaching Concepts and Geostatistical Models

      • D. T. Ribeiro, R. M. Carvalho
      Pages 101-115

    3. Geostatistical Simulation of Structurally-Controlled Low Grade-High Tonnage Gold Ores: A Strategy for Targeting Genuine Enriched Zones

      • A. H. M. Silva, A. Z. Remacre, C. R. De Souza Filho
      Pages 117-131

    4. Geostatistical Framework for Modelling Clay Deposits: Nova Veneza Case Study in Southern Brazil

      • Roger Luis Stangler, Adelir José Strieder, Jair Carlos Koppe, João Felipe Costa, Margaret Armstrong
      Pages 133-148

    5. Risk Assessment of Reserve Calculation during Milestones of a Mine Life

      • Francisco Silva, Amílcar Soares, Di Ogo Caupers
      Pages 149-161

    6. Successful Incorporation of Geological Controls into Reserve Evaluation: Recent Examples from Giant Copper Mines in Chile

      • Normand Champigny, Patricio Cuadra, Guillermo Ferraz, Aldo Moraga
      Pages 163-176

    7. Geological Conditions for a Correct Geostatistical Evaluation: Example from the Elatsite Copper Deposit in Bulgaria

      • J. Todorov, K. Popov, S. Shanov, A. Boykova
      Pages 177-189

    8. Evaluation of Kriging and Cokriging for Asbestos Ore Reserve Estimation at the Cana Brava Mine, Goiás, Brazil

      • R. P. Conde, J. K. Yamamoto
      Pages 191-203

    9. Geostatistical Evaluation of the Mineral Resources of the Cajati Mine, State of São Paulo, Brazil

      • G. Barros, J. K. Yamamoto
      Pages 205-214

    10. Variographic Trends of Gold in the Alluvial Sediments Associated with the Quartz Lodes of the Princesa Isabel Region, Paraiba, Brazil

      • Lanusse S. R. Tuma, Tumkur R. Gopinath
      Pages 215-224

  5. Back Matter

    Pages 225-237
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Keywords

About this book

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.

Reviews

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)

Editors and Affiliations

  • Centre de Géostatistique, Ecole des Mines de Paris, France

    M. Armstrong, A. Galli

  • Department of Geology, Universidade Federal do Rio de Janeiro, Brazil

    C. Bettini

  • Pricewaterhouse Coopers LLP, Montreal, Canada

    N. Champigny

  • Institute of Geosciences, UNICAMP, Campinas, Brazil

    A. Remacre

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