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.

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.