Geostatistical Simulations
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Geostatistical Simulations : Proceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27-28 May 1993

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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.
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Product details

  • Hardback | 258 pages
  • 165.1 x 246.4 x 22.9mm | 612.36g
  • Dordrecht, Netherlands
  • English
  • 1994 ed.
  • XII, 258 p.
  • 0792327322
  • 9780792327325

Table of contents

Introduction. Stochastic Simulation for Imaging Spatial Uncertainty: Comparison and Evaluation of Available Algorithms; C.A. Gotway, B.M. Rutherford. An Extension of the LU Decomposition Method of Simulation; P.A. Dowd, C. Sarac. Discussion following Session No. 1: Chairman J.-P. Chile. Stochastic Simulation and Conditioning by Annealing in Reservoir Description; B.K. Hegstad, H. Omre, H. Tjelmeland, K. Tyler. Conditional Simulation of a Gaussian Random Vector with Nonlinear and/or Noisy Observations; X. Freulon. Discussion following Session No. 2: Chairman A. Galli. Conditional Simulation for Mining: Practical Implementation in an Industrial Environment; P.J. Ravenscroft. Random Media and Lattice Gas Simulations; R. Bremond, D. Jeulin. Discussion following Session No. 3: Chairman M. Armstrong. Theory and Practice of Sequential Simulation; J.J. Gomez-Hernandez, E.F. Cassiraga. Discussion following Session No. 4: Chairman P. Ravenscroft. Reminders on the Conditioning Kriging; C. de Fouquet. Nonconditional Simulation of Stationary Isotropic Multigaussian Random Functions; C. Lantuejoul. Discussion following Session No. 5: Chairman P. Dowd. Modelling the Karstic Medium: a Geostatistical Approach; O. Jaquet, P.Y. Jeannin. Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model; D. Allard. Discussion following Session No. 6: Chairman H. Omre. The Pros and Cons of the Truncated Gaussian Method; A. Galli, H. Beucher, G. Le Loc'h, B. Doligez. Conditional Simulation of Facies Architecture in Fluvial Reservoirs; F. Georgsen, T. Egeland, R. Knarud, H. Omre. Discussion following Session No. 7: Chairman C. Daly.
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Review quote

`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
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