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

**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. Front Matter....Pages i-ix Introduction....Pages 1-5 Using Quantitative Outcrop Databases as a Guide for Geological Reservoir Modelling....Pages 7-17 Quantification of Facies Relationships Via Proportion Curves....Pages 19-39 Geologic Modelling of External and Internal Reservoir Architecture of Fluvial Depositional Systems....Pages 41-52 Impact of Seismic Constraints on a Stochastic Reservoir Model and Fluid Flow Simulation....Pages 53-67 Practical Workflows for Reservoir Modelling....Pages 69-84 Simulating the Geometry of a Granite-Hosted Uranium Orebody....Pages 85-99 Simulation of Weathered Iron Ore Facies: Integrating Leaching Concepts and Geostatistical Models....Pages 101-115 Geostatistical Simulation of Structurally-Controlled Low Grade-High Tonnage Gold Ores: A Strategy for Targeting Genuine Enriched Zones....Pages 117-131 Geostatistical Framework for Modelling Clay Deposits: Nova Veneza Case Study in Southern Brazil....Pages 133-148 Risk Assessment of Reserve Calculation during Milestones of a Mine Life....Pages 149-161 Successful Incorporation of Geological Controls into Reserve Evaluation: Recent Examples from Giant Copper Mines in Chile....Pages 163-176 Geological Conditions for a Correct Geostatistical Evaluation: Example from the Elatsite Copper Deposit in Bulgaria....Pages 177-189 Evaluation of Kriging and Cokriging for Asbestos Ore Reserve Estimation at the Cana Brava Mine, Goiás, Brazil....Pages 191-203 Geostatistical Evaluation of the Mineral Resources of the Cajati Mine, State of São Paulo, Brazil....Pages 205-214 Variographic Trends of Gold in the Alluvial Sediments Associated with the Quartz Lodes of the Princesa Isabel Region, Paraiba, Brazil....Pages 215-224 Back Matter....Pages 225-237