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Geostatistics Rio 2000 - edition reliée, livre de poche

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Armstrong, M. Bettini, C. Champigny, N.:
Geostatistics Rio 2000 - Première édition

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ISBN: 9781402004704

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M. Armstrong (Editor), C. Bettini (Editor), N. Champigny (Editor), A. Galli (Editor), A. Remacre (Editor):
Geostatistics Rio 2000 (Quantitative Geology and Geostatistics, Volume 12) - edition reliée, livre de poche

2000, ISBN: 9781402004704

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Editor-M. Armstrong; Editor-C. Bettini; Editor-N. Champigny; Editor-A. Galli; Editor-A. Remacre:
Geostatistics Rio 2000 (Quantitative Geology and Geostatistics, Volume 12) - edition reliée, livre de poche

2000, ISBN: 9781402004704

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Geostatistics Rio 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.

Informations détaillées sur le livre - Geostatistics Rio 2000


EAN (ISBN-13): 9781402004704
ISBN (ISBN-10): 1402004702
Version reliée
Date de parution: 2002
Editeur: Springer-Verlag New York Inc.
244 Pages
Poids: 0,603 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-03-10T07:30:58+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-07-18T16:18:05+02:00 (Zurich)
ISBN/EAN: 1402004702

ISBN - Autres types d'écriture:
1-4020-0470-2, 978-1-4020-0470-4
Autres types d'écriture et termes associés:
Auteur du livre: armstrong, bettini, rema
Titre du livre: geostatistics geology, 2000, rio janeiro


Données de l'éditeur

Auteur: M. Armstrong; C. Bettini; N. Champigny; A. Galli; A. Remacre
Titre: Quantitative Geology and Geostatistics; Geostatistics Rio 2000 - Proceedings of the Geostatistics Sessions of the 31st International Geological Congress, Rio de Janeiro, Brazil, 6–17 August 2000
Editeur: Springer; Springer Netherland
237 Pages
Date de parution: 2002-03-31
Dordrecht; NL
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
IX, 237 p.

BB; Hardcover, Softcover / Geowissenschaften/Geologie; Geologie und die Lithosphäre; Verstehen; 3D; Kriging; Sediment; databases; fluvial; geologic modelling; simulation; statistics; Geology; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Earth Sciences; Geotechnical Engineering and Applied Earth Sciences; Sedimentology; Wahrscheinlichkeitsrechnung und Statistik; Geowissenschaften; Bodenkunde, Sedimentologie; BC

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.

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