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＜電子ブック＞
Geostatistical Case Studies / edited by G. Matheron, M. Armstrong
(Quantitative Geology and Geostatistics. ISSN:22151834 ; 2)

版	1st ed. 1987.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	1987
本文言語	英語
大きさ	VII, 248 p. 75 illus : online resource
著者標目	Matheron, G editor Armstrong, M editor SpringerLink (Online service)
件　名	LCSH:Statistics  FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
一般注記	Computing Variograms on Uranium Data -- The Comparison Between the Gamma Logs and the Grades in the Estimation of a Uranium Deposit -- Geostatistical Estimation of a Section of the Perseverance Nickel Deposit -- Multipurpose Geostatistical Modelling of a Bauxite Orebody in Sardinia -- Application of Kriging to the Mapping of a Reef from Wireline Logs and Seismic Data; A Case History -- Study of a Gas Reservoir Using the External Drift Method -- The Grade-Tonnage Curves for a Zinc Mine in France -- Conditioning by the Panel Grade for Recovery Estimation of Non-Homogeneous Orebodies -- Recoverable Reserves Estimation at an Australian Gold Project -- Comparing Estimated Uranium Grades with Production Figures -- Global Recoverable Reserves: Testing Various Changes of Support Models on Uranium Data -- Calculating Ore Reserves Subject to Mining Constraints, for a Uranium Deposit It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis­ tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci­ pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis­ ticated techniques into practice in their own fields HTTP:URL=https://doi.org/10.1007/978-94-009-3383-5

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