Geostatistics Rio 2000 [electronic resource] : 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.
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Format: | Texto biblioteca |
Language: | eng |
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Dordrecht : Springer Netherlands : Imprint: Springer,
2002
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Subjects: | Earth sciences., Geology., Sedimentology., Geotechnical engineering., Statistics., Earth Sciences., Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences., Earth Sciences, general., Geotechnical Engineering & Applied Earth Sciences., |
Online Access: | http://dx.doi.org/10.1007/978-94-017-1701-4 |
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KOHA-OAI-TEST:2156292018-07-30T23:50:34ZGeostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / Armstrong, M. editor. Bettini, C. editor. Champigny, N. editor. Galli, A. editor. Remacre, A. editor. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,2002.engGeostatistics 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.1 Using Quantitative Outcrop Databases As a Guide for Geological Reservoir Modelling -- 2 Quantification of facies relationships via proportion curves -- 3 Geologic Modelling of External and Internal Reservoir Architecture of Fluvial Depositional Systems -- 4 Impact of Seismic Constraints on a Stochastic Reservoir Model and Fluid Flow Simulation -- 5 Practical Workflows for Reservoir Modelling -- 6 Simulating the Geometry of a Granite-hosted Uranium Orebody -- 7 Simulation of Weathered Iron Ore Facies: Integrating Leaching Concepts and Geostatistical Models -- 8 Geostatistical Simulation of Structurally Controlled Low Grade High Tonnage Gold Ores: A Strategy for Targeting Genuine Enriched Zones -- 9 Geostatistical Frameword for Modelling Clay Deposits: Nova Veneza Case Study in Southern Brazil -- 10 Risk Assessment of Reserve Calculation during Milestones of a Mine Life -- 11 Successfull Incorporation of Geological Controls into Reserve Evaluation: Recent Examples from Giant Copper Mines in Chile -- 12 Geological Conditions for a Correct Geostatistical Evaluation: Example from the Elatsite Copper Deposit in Bulgaria -- 13 Evaluation of Kriging and Cokriging for Asbestos Ore Reserve Estimation at the Cana Brava Mine, Goiás, Brazil -- 14 Geostatistical Evaluation of the Mineral Resources of the Cajati Mine, State of Sao Paulo, Brazil -- 15 Variographic Trends of Gold in the Alluvial Sediments Associated with the Quartz Lodes in the Princesa Isabel Region, Paraiba, Brazil -- List of color figures.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.Earth sciences.Geology.Sedimentology.Geotechnical engineering.Statistics.Earth Sciences.Geology.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Earth Sciences, general.Geotechnical Engineering & Applied Earth Sciences.Sedimentology.Springer eBookshttp://dx.doi.org/10.1007/978-94-017-1701-4URN:ISBN:9789401717014 |
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Earth sciences. Geology. Sedimentology. Geotechnical engineering. Statistics. Earth Sciences. Geology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Earth Sciences, general. Geotechnical Engineering & Applied Earth Sciences. Sedimentology. Earth sciences. Geology. Sedimentology. Geotechnical engineering. Statistics. Earth Sciences. Geology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Earth Sciences, general. Geotechnical Engineering & Applied Earth Sciences. Sedimentology. |
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Earth sciences. Geology. Sedimentology. Geotechnical engineering. Statistics. Earth Sciences. Geology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Earth Sciences, general. Geotechnical Engineering & Applied Earth Sciences. Sedimentology. Earth sciences. Geology. Sedimentology. Geotechnical engineering. Statistics. Earth Sciences. Geology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Earth Sciences, general. Geotechnical Engineering & Applied Earth Sciences. Sedimentology. Armstrong, M. editor. Bettini, C. editor. Champigny, N. editor. Galli, A. editor. Remacre, A. editor. SpringerLink (Online service) Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
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. 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. |
format |
Texto |
topic_facet |
Earth sciences. Geology. Sedimentology. Geotechnical engineering. Statistics. Earth Sciences. Geology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Earth Sciences, general. Geotechnical Engineering & Applied Earth Sciences. Sedimentology. |
author |
Armstrong, M. editor. Bettini, C. editor. Champigny, N. editor. Galli, A. editor. Remacre, A. editor. SpringerLink (Online service) |
author_facet |
Armstrong, M. editor. Bettini, C. editor. Champigny, N. editor. Galli, A. editor. Remacre, A. editor. SpringerLink (Online service) |
author_sort |
Armstrong, M. editor. |
title |
Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
title_short |
Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
title_full |
Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
title_fullStr |
Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
title_full_unstemmed |
Geostatistics Rio 2000 [electronic resource] : Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000 / |
title_sort |
geostatistics rio 2000 [electronic resource] : proceedings of the geostatistics sessions of the 31st international geological congress, rio de janeiro, brazil, 6–17 august 2000 / |
publisher |
Dordrecht : Springer Netherlands : Imprint: Springer, |
publishDate |
2002 |
url |
http://dx.doi.org/10.1007/978-94-017-1701-4 |
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