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

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

Current price: $220.95
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Geostatistics Rio 2000: Proceedings of the Sessions 31st International Geological Congress, de Janeiro, Brazil, 6-17 August 2000

Coles

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

Current price: $220.95
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Size: Hardcover

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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.
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.

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