Geostatistical Simulations

1. Front Matter

   Pages i-xi

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2. Stochastic Simultation for Imaging Spatial Uncertainty: Comparison and Evaluation of Available Algorithms

   • C. A. Gotway, B. M. Rutherford

   Pages 1-21

3. An Extension of the LU Decomposition Method of Simulation

   • P. A. Dowd, C. Saraç

   Pages 23-36

4. Discussion Following Session No 1

   • Jean-Paul Chiles

   Pages 37-42

5. Stochastic Simulation and Conditioning by Annealing in Reservoir Description

   • Bjørn Kåre Hegstad, Henning Omre, Håkon Tjelmeland, Kelly Tyler

   Pages 43-55

6. Conditional simulation of a Gaussian random vector with non linear and/or noisy observations

   • Xavier Freulon

   Pages 57-71

7. Discussion Following Session No 2

   • Alain Galli

   Pages 72-77

8. Conditional Simulation for Mining: Practical Implementation in an Industrial Environment

   • Peter J. Ravenscroft

   Pages 79-87

9. Random media and lattice gas simulations

   • R. Brémond, D. Jeulin

   Pages 89-105

10. Discussion Following Session No 3

    • Margaret Armstrong

    Pages 106-109

11. Theory and Practice of Sequential Simulation

    • J. Jaime Gómez-Hernández, Eduardo F. Cassiraga

    Pages 111-124

12. Discussion Following Session No 4

    • Peter Ravenscroft

    Pages 125-129

13. Reminders on the Conditioning Kriging

    • Chantal de Fouquet

    Pages 131-145

14. Non Conditional Simulation of Stationary Isotropic Multigaussian Random Functions

    • Christian Lantuéjoul

    Pages 147-177

15. Discussion Following Session No 5

    • Peter Dowd

    Pages 178-184

16. Modelling the Karstic Medium: A Geostatistical Approach

    • O. Jaquet, P. Y. Jeannin

    Pages 185-195

17. Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model

    • Denis Allard

    Pages 197-211

18. Discussion Following Session No 6

    • Henning Omre

    Pages 212-215

19. The Pros and Cons of the Truncated Gaussian Method

    • A. Galli, H. Beucher, G. Le Loc’h, B. Doligez, Heresim Group

    Pages 217-233

20. Conditional Simulation of Facies Architecture in Fluvial Reservoirs

    • Frode Georgsen, Thore Egeland, Ragnar Knarud, Henning Omre

    Pages 235-250

When this two-day meeting was proposed, it was certainly not conceived as a celebration, much less as a party. However, on reflection, this might have been a wholly appropriate gesture because geostatistical simulation came of age this year: it is now 21 years since it was first proposed and implemented in the form of the turning bands method. The impetus for the original development was the mining industry, principally the problems encountered in mine planning and design based on smoothed estimates which did not reflect the degree of variability and detail present in the real, mined values. The sustained period of development over recent years has been driven by hydrocarbon applications. In addition to the original turning bands method there are now at least six other established methods of geostatistical simulation. Having reached adulthood, it is entirely appropriate that geostatistical simulation should now be subjected to an intense period of reflection and assessment. That we have now entered this period was evident in many of the papers and much of the discussion at the Fontainebleau meeting. Many questions were clearly articulated for the first time and, although many ofthem were not unambiguously answered, their presentation at the meeting and publication in this book will generate confirmatory studies and further research.

• Kriging
• Reservoir
• Statistica
• algorithm
• digital elevation model
• environment
• simulation
• quantitative geology
• hydrogeology
• air pollution and air quality

`Readers will enjoy sections in this book that present transcripts of discussions on the various papers ... All discussion seeks additional information or clarification of papers. Together with the responses to questions and comments, these discussion sections, at times, are as informative as the papers. Papers are well written and well formatted ... All papers present valuable information on algorithms and reference useful software. This book is a valuable reference and is therefore highly recommended ...'
Mathematical Geology, May 1995

• Centre de Géostatistique, Fontainebleau, France

  M. Armstrong

• Department of Mining and Mineral Engineering, University of Leeds, UK

  P. A. Dowd

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