Geostatistics Rio 2000 | Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6-17 August 2000

M. Armstrong (u. a.)

ISBN 10: 9048159547 / ISBN 13: 9789048159543

Published by Springer, 2011

About this Item

Geostatistics Rio 2000 | Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6-17 August 2000 | M. Armstrong (u. a.) | Taschenbuch | Quantitative Geology and Geostatistics | ix | Englisch | 2011 | Springer | EAN 9789048159543 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 107245564

Bibliographic Details

• Title: Geostatistics Rio 2000 | Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6-17 August 2000
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 9048159547
• ISBN 13: 9789048159543
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 14D millimeters 235 millimeters width by 155 millimeters height by 14 millimeters depth
• Weight: 388 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Geostatistics Rio 2000 includes fifteen contributions, five of which are on applications in petroleum science and ten are on mining geostatistics. These contributions were presented at the 31st International Geological Congress, held in Rio de Janeiro, Brazil, from 6-17 August, 2000. Stochastic simulation was the key theme of these case studies. A wide range of methods was used: truncated gaussian and plurigaussian, SIS and SGS, boolean methods and multi-point attractors.

Audience: The volume will be of value to scientists, researchers, and professionals in geology, mining engineering, petroleum engineering, mathematics and statistics, as well as those working for mining and oil companies.

Review

From the reviews:

"This book is a collection of papers presented at a conference in Rio de Janeiro in August 2000. ... A significant feature of all these papers, including the reservoir modeling papers, is the focus on the specific applications ... . All of the papers also have a wealth of visual displays. Because geostatistical modeling practitioners commonly use color as a significant characteristic of any display ... ." (Technometrics, Vol. 47 (4), November, 2005)