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Titlebook: Geostatistics Rio 2000; Proceedings of the G M. Armstrong,C. Bettini,A. Remacre Conference proceedings 2002 Springer Science+Business Media

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書目名稱Geostatistics Rio 2000
副標(biāo)題Proceedings of the G
編輯M. Armstrong,C. Bettini,A. Remacre
視頻videohttp://file.papertrans.cn/385/384100/384100.mp4
叢書名稱Quantitative Geology and Geostatistics
圖書封面Titlebook: Geostatistics Rio 2000; Proceedings of the G M. Armstrong,C. Bettini,A. Remacre Conference proceedings 2002 Springer Science+Business Media
描述.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. .
出版日期Conference proceedings 2002
關(guān)鍵詞3D; Kriging; Sediment; databases; fluvial; geologic modelling; simulation; statistics
版次1
doihttps://doi.org/10.1007/978-94-017-1701-4
isbn_softcover978-90-481-5954-3
isbn_ebook978-94-017-1701-4Series ISSN 0924-1973 Series E-ISSN 2215-1834
issn_series 0924-1973
copyrightSpringer Science+Business Media Dordrecht 2002
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Geologic Modelling of External and Internal Reservoir Architecture of Fluvial Depositional Systemso semi-amalgamated fluvial-bar complexes that are thinner and less laterally persistent. Distal (down-dip) fluvial-facies belts are interpreted as lowstand sandstones characterised by thin, yet laterally extensive, fluvial-bar complexes. Within a sequence-stratigraphic context, the composite sequenc
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Simulating the Geometry of a Granite-Hosted Uranium Orebodyplurigaussian simulation method. When applying this methodology, the key steps are:.We describe how these steps were applied to the Rossing data, emphasising the geologist’s input into the decision-making process. Several simulations were generated.
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Geostatistical Simulation of Structurally-Controlled Low Grade-High Tonnage Gold Ores: A Strategy fo of reasons, is always a concern and there is considerable interest and debate as to whether enriched ore zones that necessarily coincide with a high incidence of quartz boudins, can be detected by geostatistical tools. Using stochastic simulation and a new technique for conditional integration of t
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Risk Assessment of Reserve Calculation during Milestones of a Mine Lifeon techniques to evaluate the uncertainty involved in each of these phases. The role of each component of spatial uncertainty given by the simulation models (the lack of knowledge about the physical phenomenon and intrinsic variability of the orebody variables) in those decisions, is evaluated by co
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Evaluation of Kriging and Cokriging for Asbestos Ore Reserve Estimation at the Cana Brava Mine, Goiáiables considered as secondary ones. The results have proved that both methods generate very similar estimates of reserves, confirming that when secondary variables are well correlated with the primary variable, cokriging gives results comparable to ordinary kriging. Despite of this fact we conclude
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