Geostatistical Simulations: Proceedings Of The Geostatistical Simulation Workshop, Fontainebleau, France, 27-28 May 1993 (quantitative Geology And Geostatistics)

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. Front Matter....Pages i-xi Stochastic Simultation for Imaging Spatial Uncertainty: Comparison and Evaluation of Available Algorithms....Pages 1-21 An Extension of the LU Decomposition Method of Simulation....Pages 23-36 Discussion Following Session No 1....Pages 37-42 Stochastic Simulation and Conditioning by Annealing in Reservoir Description....Pages 43-55 Conditional simulation of a Gaussian random vector with non linear and/or noisy observations....Pages 57-71 Discussion Following Session No 2....Pages 72-77 Conditional Simulation for Mining: Practical Implementation in an Industrial Environment....Pages 79-87 Random media and lattice gas simulations....Pages 89-105 Discussion Following Session No 3....Pages 106-109 Theory and Practice of Sequential Simulation....Pages 111-124 Discussion Following Session No 4....Pages 125-129 Reminders on the Conditioning Kriging....Pages 131-145 Non Conditional Simulation of Stationary Isotropic Multigaussian Random Functions....Pages 147-177 Discussion Following Session No 5....Pages 178-184 Modelling the Karstic Medium: A Geostatistical Approach....Pages 185-195 Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model....Pages 197-211 Discussion Following Session No 6....Pages 212-215 The Pros and Cons of the Truncated Gaussian Method....Pages 217-233 Conditional Simulation of Facies Architecture in Fluvial Reservoirs....Pages 235-250 Discussion Following Session No 7....Pages 251-255 Back Matter....Pages 257-257 This Book Contains Selected Contributions From The Workshop On Geostatistical Simulations, Which Was Held In Fontainebleau, May 1993. The Papers Included Are An Accurate Reflection Of The Current Debates, Applications And Research Interests In Geostatistical Simulation. Nowadays, In Addition To The Original Turning Bands Method, There Are Several Other Established Methods Of Geostatistical Simulation. The Continued Development Of These Methods Is Driven By Problems Encountered In The Implementation Of Existing Methods, E.g. The Search For More Efficient Algorithms, The Desire To Incorporate New Variables Such As (geometrical Or Geological) Shapes, The Perceived Need To Eliminate Parametric Approaches, And The New End-uses Of Simulated Images Or Models. A Number Of The Most Important Questions Raised Are: How Are Simulation Methods And Simulated Images To Be Assessed? What Properties Of Simulated Images Are Inherent In The Methods Used To Obtain The Images? Are Some Methods More Suitable To Specific Applications Than Others? Edited By M. Armstrong, P. A. Dowd.