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3 edition of An introduction to geostatistical methods of mining evaluation, by J.-M. Rendu found in the catalog.

An introduction to geostatistical methods of mining evaluation, by J.-M. Rendu

An introduction to geostatistical methods of mining evaluation, by J.-M. Rendu

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Published by South African Institute of Mining and Metallurgy in Johannesburg .
Written in English

    Subjects:
  • Geology -- Statistical methods

  • Classifications
    LC ClassificationsQE 33.2 M2R39 1978
    The Physical Object
    Pagination84 p.
    Number of Pages84
    ID Numbers
    Open LibraryOL21995853M
    ISBN 100620033134

    M1 Lognormal-DeWijsian Geostaties for Ore Evaluation (2nd ed ) D.G. Krige M2 An Introduction to Geostatistical Methods ofMineral Evaluation (2nd ed ) M3 Principles ofFlotation () (3rd imp. ) Edited by R.P. King M4 Increased Underground Extraction ofCoal () Edited by C.J. Fauconnier and R.W.O. Kersten. He is the author of An Introduction to Geostatistical Methods of Mineral Evaluation, published by the South African Institute of Mining and Metallurgy in (second edition, ) and An Introduction to Cut-off Grade Estimation, published by SME in (second edition, ).Price: $

    Geostatistical applications in petroleum reservoir modelling Article (PDF Available) in Journal- South African Institute of Mining and Metallurgy August with 2, Reads. An introduction to geostatistical methods of mineral evaluation J. M. Rendu , 1 book D. G. Krige, 1 book J. M. Rendu, 1 book Symposium on Iron and Steel Making Johannesburg , 1 book S. Budavari, 1 book Symposium on Rock Mechanics and Strata Control in Mines ( , 1 book South African Institute of Mining and Metallurgy, 1 book.

    Ore Exploration Catalog Rendu, J. M. / AN INTRODUCTION TO GEOSTATISTICAL METHODS OF MINERAL EVALUATION, South African Institute of Mining and .   The development of geostatistics as an ore reserve estimation methodology emerged in France in early from the work of Matheron () and was based on original studies by D.G. Krige functioning the optimal assigning of weights to the neighbouring sample values used in estimating the grade of blocks in South African gold mines.


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An introduction to geostatistical methods of mining evaluation, by J.-M. Rendu Download PDF EPUB FB2

An introduction to geostatistical methods of mineral evaluation (Geostatistics) [Rendu, J. M] on *FREE* shipping on qualifying offers. An introduction to geostatistical methods of mineral evaluation (Geostatistics)Cited by: Introduction to Geostatistical Methods of Mineral Evaluation (Geostatistics) Rendu, J.M.

Published by South African Institute of Mining and Metallurgy (). An introduction to geostatistical methods of mining evaluation, by J.-M. Rendu Publish date by J.-M. Rendu book, South African Institute of Mining and Metallurgy in English. Get this from a library.

An introduction to geostatistical methods of mineral evaluation. [J -M Rendu]. In 12 libraries. vii, 84 p.: ill. ; 31 cm. Mine valuation -- Statistical methods. Mineralogy -- Statistical methods. Ores -- Sampling and estimation -- Statistical methods.

Geology -- Statistical methods. Mineral deposits Statistical analysis. Rendu is the author of An Introduction To Geostatistical Methods Of Mineral Evaluation ( avg rating, 0 ratings, 0 reviews). An introduction to geostatistical methods of mineral evaluation.

Responsibility J.-M. Rendu. Edition 2nd ed. Imprint Johannesburg: South African Institute of Mining and Metallurgy, Physical description vii, 84 p.: ill. ; 29 cm. Series Geostatistics ; 2 Monograph series (South African Institute of Mining and Metallurgy) Online.

Available. An introduction to geostatistical methods of mineral evaluation. Responsibility J.-M. Rendu. Imprint Johannesburg: South African Institute of Mining and Metallurgy, Physical description vii, 84 p.: ill. ; 31 cm. Series Geostatistics ; 2 Monograph series (South African Institute of Mining and Metallurgy).

A practical application of geostatistical methods to quality and mineral reserve modelling of cement raw materials by T.Y. Yunsel* Synopsis Estimation techniques such as polygonal, triangular prism, trapezoid, isopach maps, and inverse distance methods are often used in ore or industrial minerals deposit evaluation.

These. mining industry. In addition, articles and case studies based on geostatistical research in the mining industry are numerous and are frequently published in mining related journals. This association between geostatistics and the mining industry is not unexpected.

After all, it was problems in the mining industry that led to the work of H. Rendu, J.-M., ,An Introduction to Geostatistical Methods of Mineral Evaluation: South African Institute of Mining and Metallurgy, Johannesburg, South Africa, 84 p.

Google Scholar Reyment, R.,Handbook of Applied Advanced Geostatistical Ore Reserve Estimation, by Michel David. dressed using geostatistical methods.

As stated by Marc Cromer (in Geostatis-tics for environmental and geotechnical applications,ASTM International, edited by Rouhani et al.): Geostatistical methods provide the tools to capture, through rigorous exami-nation, the descriptive information on a phenomenon from sparse, often biased.

M2 An Introduction to Geostatistical Methods of Mineral Evaluation (2nd ed )1-MM Rendu M3 Principles of Flotation () (3rd imp ) Edited by R P. King M4 Increased Under ground Extr action of Coal () Edited by C I.

Fauconrnei and R W 0 Kersten M5 Rock Mechanics in Mining Practice ()(3idimp ) Edited by S Budavaii. M2 An Introduction to Geostatistical Methods of Mineral Evaluation (2nd ed ) J.-M.M. Rendu M3 Principles of Flotation () Edited by R.P.

King M4 Increased Underground Extraction of Coal () Edited by c.J. Fauconnier and R.W.O. Kersten MS Rock Mechanics in Mining Practice () (3rd imp. ) Edited by S. Budavari M6 Assay and File Size: KB. Showing all editions for 'An Introduction to Geostatistical Methods of Mineral Evaluation.' Sort by: Format; All Formats (5) Print book (5) Introduction to geostatistical methods of mineral evaluation.

by J -M Rendu; South African Institute of Mining and Metallurgy, Print book: English. In an effort to obtain information on mineral reserve estimation practices for precious metal deposits, a questionnaire was designed and sent worldwide to various mining and exploration companies RENDU, J.

M., “An introduction to geostatistical methods of mineral evaluation”, Geostatistics 2, South African Inst. of Min. and Metall Author: B. Kwa, P. Mousset-Jones. These methods are based on estimators that are linearcombinations (weighted averages) of data.

However we often are asked to estimate statistics that arenot linearlyrelated to data. We will see next how to provide answers by geostatistical simulation.

Hans Wackernagel (MINES ParisTech) Basics in Geostatistics 2 NERSC April 34 / 35File Size: 1MB. • Geostatistical analysis provides a powerful tool for enhancing the prediction and decision making capabilities of mine planners and geologists. • The experimental semivariogram provides the only measure of whether a deposit, or part of a deposit, is best analyzed using geostatistical methods or whether classical statistics would Size: 8MB.

PRINCIPLES OF GEOSTATISTICAL ANALYSIS 53 Geostatistical solutions So far, the techniques that we have discussed are referred to as deterministic interpolation methods because they are directly based on the surrounding measured values or on specified mathematical formulas that determine the smoothness of the resulting surface.

U.S. GEOLOGICAL SURVEY Scientific Investigations Report – DOE/ID Back to Table of Contents. Geostatistical Methods. Geostatistics is a specialized branch of statistical analysis concerned with the spatial relationships among data situated in two-. First published inthis book was the first complete reference work on the subject of mining geostatistics, an attempt to synthesize the practical experience gained by researchers from the Centre de Morphologie Mathematique in France and by mining engineers and geologists all over the world who contributed their ideas.

It was designed for students and engineers who wished to apply.This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth related sciences to infer the spatial distribution of a given property of interest.Keywords: soil; relative hydraulic conductivity; heterogeneity; mining geostatistics 1.

Introduction The challenging and very difficult task to develop modelling of flow and transport in soils of large extents has been undertaken only in the last decades by using a mining geostatistical approach1, by: 6.