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＜電子ブック＞
Geostatistical Simulations : Proceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27–28 May 1993 / edited by M. Armstrong, P.A. Dowd
(Quantitative Geology and Geostatistics. ISSN:22151834 ; 7)

版	1st ed. 1994.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	1994
本文言語	英語
大きさ	XII, 258 p : online resource
著者標目	Armstrong, M editor Dowd, P.A editor SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Probabilities LCSH:Geology LCSH:Pollution FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Probability Theory FREE:Geology FREE:Pollution
一般注記	Stochastic Simultation for Imaging Spatial Uncertainty: Comparison and Evaluation of Available Algorithms -- An Extension of the LU Decomposition Method of Simulation -- Discussion Following Session No 1 -- Stochastic Simulation and Conditioning by Annealing in Reservoir Description -- Conditional Simulation of a Gaussian Random Vector with Non Linear and/or Noisy Observations -- Discussion Following Session No 2 -- Conditional Simulation for Mining: Practical Implementation in an Industrial Environment -- Random Media and Lattice Gas Simulations -- Discussion Following Session No 3 -- Theory and Practice of Sequential Simulation -- Discussion Following Session No 4 -- Reminders on the Conditioning Kriging -- Non Conditional Simulation of Stationary Isotropic Multigaussian Random Functions -- Discussion Following Session No 5 -- Modelling the Karstic Medium: A Geostatistical Approach -- Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model -- Discussion Following Session No 6 -- The Pros and Cons of the Truncated Gaussian Method -- Conditional Simulation of Facies Architecture in Fluvial Reservoirs -- Discussion Following Session No 7 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 HTTP:URL=https://doi.org/10.1007/978-94-015-8267-4

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