Armstrong / Bettini / Champigny Geostatistics Rio 2000

Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000
2002
ISBN: 978-94-017-1701-4
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 12, 237 Seiten, eBook

Reihe: Quantitative Geology and Geostatistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Armstrong, M.

Bettini, C.

Champigny, N.

Galli, A.

Remacre, A.

Inhaltsverzeichnis

Preface; R. Olea. Introduction; M. Armstrong, et al. Petroleum Papers. Using Quantitative Outcrop Databases As a Guide for Geological Reservoir Modelling; R. Eschard, et al. Quantification of facies relationships via proportion curves; C. Ravenne, et al. Geologic Modelling of External and Internal Reservoir Architecture of Fluvial Depositional Systems; P.E. Patterson, et al. Impact of Seismic Constraints on a Stochastic Reservoir Model and Fluid Flow Simulation; I. Azpiritxaga, et al. Practical Workflows for Reservoir Modelling; J.M. Yarus, et al. Mining Papers. Simulating the Geometry of a Granite-hosted Uranium Orebody; T. Skvortsova, et al. Simulation of Weathered Iron Ore Facies: Integrating Leaching Concepts and Geostatistical Models; D.T. Ribeiro, R.M. Carvalho. Geostatistical Simulation of Structurally Controlled Low Grade High Tonnage Gold Ores: A Strategy for Targeting Genuine Enriched Zones; A.H.M. Silva, et al. Geostatistical Framework for Modelling Clay Deposits: Nova Veneza Case Study in Southern Brazil; R.L. Stangler, et al. Risk Assessment of Reserve Calculation during Milestones of a Mine Life; F. Silva, et al. Successful Incorporation of Geological Controls into Reserve Evaluation: Recent Examples from Giant Copper Mines in Chile; N. Champigny, et al. Geological Conditions for a Correct Geostatistical Evaluation: Example 177 from the Elatsite Copper Deposit in Bulgaria; J. Todorov, et al. Evaluation of Kriging and Cokriging for Asbestos Ore Reserve Estimation at the Cana Brava Mine, Goiás, Brazil; R.P. Conde, J.K. Yamamoto. Geostatistical Evaluation of the Mineral Resources of the Cajati Mine, State of Sao Paulo, Brazil; G. Barros, J.K. Yamamoto. Variographic Trends of Gold in the Alluvial Sediments Associated with the QuartzLodes in the Princesa Isabel Region, Paraiba, Brazil; S.R. Lanusse, T.R. Gopinath.