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Geostatistics Rio 2000: Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6-17 2000 Edition
Contributor(s): Armstrong, M. (Editor), Bettini, C. (Editor), Champigny, N. (Editor)
ISBN: 1402004702     ISBN-13: 9781402004704
Publisher: Springer
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: March 2002
Qty:
Annotation: 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.

The five contributions on petroleum science focus on different aspects of reservoir characterisation. All use stochastic simulations to generate 3D numerical models that reproduce the key features of reservoirs.

Five of the ten contributions on mining present ore-body simulations; the others address questions like reconciling reserve estimates with production figures.
None of these contributions present new theory. Instead they show readers how to incorporate geology into geostatistical case studies in a meaningful way.

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.

Additional Information
BISAC Categories:
- Science | Earth Sciences - Geology
- Medical
- Science | Earth Sciences - Sedimentology & Stratigraphy
Dewey: 551.015
LCCN: 2002283044
Series: Quantitative Geology and Geostatistics
Physical Information: 0.66" H x 6.24" W x 9.86" (1.33 lbs) 237 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.

The five contributions on petroleum science focus on different aspects of reservoir characterisation. All use stochastic simulations to generate 3D numerical models that reproduce the key features of reservoirs.

Five of the ten contributions on mining present ore-body simulations; the others address questions like reconciling reserve estimates with production figures.
None of these contributions present new theory. Instead they show readers how to incorporate geology into geostatistical case studies in a meaningful way.

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.