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

M. Armstrong

ISBN 10: 9048143721 / ISBN 13: 9789048143726

Edité par Springer, Springer, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9789048143726

Détails bibliographiques

• Titre: Geostatistical Simulations : Proceedings of the Geostatistical Simulation Workshop, Fontainebleau, France, 27-28 May 1993
• Éditeur: Springer, Springer
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 9048143721
• ISBN à 13 chiffres: 9789048143726
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 244 L x 170 H x 15 P (en millimètres) 244 millimètres de largeur par 170 millimètres de hauteur par 15 millimètres de profondeur
• Poids: 475 grammes

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

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?