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Contribution to the methods for estimating uranium deposits (1963); Contribution aux methodes d'estimation des gisements d'uranium (1963)

Abstract

Having defined a deposit of economic value according to the marginal theory, the author discriminates several categories of ore reserves according to the degree of knowledge of the deposit and according to the mining stage where the ore is considered. He dismisses the conventional French classification of 'on sight', 'probable' and 'possible' ore categories and suggests more suitable ones. The 'sensu stricto', ore reserves are those for which the random error can be calculated. The notion of the natural contrast of grades in an ore deposit (absolute dispersion coefficient {alpha}) is introduced in relation to this topic. The author considers three types of mining exploration. The first is the random exploration so often met; the second is the logical exploration based on a systematic location of underground works, bore-holes, etc. The third, and hardest to achieve, is the one which minimizes exploration costs for a given level of accuracy. Part of the publication deals with sampling errors such as those resulting from the quartering of a heap of ore (theory of Pierre GY) or those resulting from the use of radiometric measurement of grade. Another part deals with the extension error (entailed by the assimilation of samples to the deposit  More>>
Authors:
Carlier, A [1] 
  1. Commissariat a l'Energie Atomique, Fontenay-aux-Roses (France). Centre d'Etudes Nucleaires
Publication Date:
Feb 15, 1964
Product Type:
Thesis/Dissertation
Report Number:
CEA-R-2332
Resource Relation:
Other Information: TH: These ES sciences naturelles; 255 refs
Subject:
58 GEOSCIENCES; ERRORS; GAMMA SPECTROSCOPY; GEOLOGIC STRATA; KRIGING; PROBABILISTIC ESTIMATION; PROSPECTING; RADIOMETRIC SURVEYS; SPATIAL DISTRIBUTION; STATISTICS; URANIUM DEPOSITS
OSTI ID:
20818013
Research Organizations:
CEA Fontenay-aux-Roses, 92 (France); Faculte des Sciences de l'Universite de Paris, 75 (France)
Country of Origin:
France
Language:
French
Other Identifying Numbers:
TRN: FR06R2332118142
Availability:
Available from INIS in electronic form
Submitting Site:
FRN
Size:
440 pages
Announcement Date:
Jan 04, 2007

Citation Formats

Carlier, A. Contribution to the methods for estimating uranium deposits (1963); Contribution aux methodes d'estimation des gisements d'uranium (1963). France: N. p., 1964. Web.
Carlier, A. Contribution to the methods for estimating uranium deposits (1963); Contribution aux methodes d'estimation des gisements d'uranium (1963). France.
Carlier, A. 1964. "Contribution to the methods for estimating uranium deposits (1963); Contribution aux methodes d'estimation des gisements d'uranium (1963)." France.
@misc{etde_20818013,
title = {Contribution to the methods for estimating uranium deposits (1963); Contribution aux methodes d'estimation des gisements d'uranium (1963)}
author = {Carlier, A}
abstractNote = {Having defined a deposit of economic value according to the marginal theory, the author discriminates several categories of ore reserves according to the degree of knowledge of the deposit and according to the mining stage where the ore is considered. He dismisses the conventional French classification of 'on sight', 'probable' and 'possible' ore categories and suggests more suitable ones. The 'sensu stricto', ore reserves are those for which the random error can be calculated. The notion of the natural contrast of grades in an ore deposit (absolute dispersion coefficient {alpha}) is introduced in relation to this topic. The author considers three types of mining exploration. The first is the random exploration so often met; the second is the logical exploration based on a systematic location of underground works, bore-holes, etc. The third, and hardest to achieve, is the one which minimizes exploration costs for a given level of accuracy. Part of the publication deals with sampling errors such as those resulting from the quartering of a heap of ore (theory of Pierre GY) or those resulting from the use of radiometric measurement of grade. Another part deals with the extension error (entailed by the assimilation of samples to the deposit they are issued from) and gives the essential formulae in order to appraise the random error (Geo-statistics of Matheron). As to the estimator itself the work shows how the disharmony between the ore sample and the associated influence zone can be solved by the way of 'kriging'. The thesis gives numerous examples of the various numerical parameters, characteristics of an uranium deposit (absolute dispersion coefficient) or of an uranium ore (liberation parameter) as well as a few examples of linear correlations between gamma radioactivity and uranium grade. Three complete examples of reserve evaluation are given. The end of the thesis deals with the notion of ruin risk which has to be taken in some cases. A detailed alphabetical index is intended to help find in this publication the definitions, formulae or theories that most interest the reader. (author) [French] Apres avoir rappele ce qu'est un gisement, de valeur economique, sur la base du marginalisme, l'auteur distingue plusieurs categories de reserves suivant le degre de connaissance du gite et suivant le poste d'exploitation ou est considere le minerai. Il rejette les anciennes categories 'a vue', 'probable' et 'possible' pour les remplacer par des categories mieux adaptees. Les reserves sensu stricto sont celles pour lesquelles on est en mesure de calculer l'erreur aleatoire d'estimation. Une notion est introduite a ce sujet, c'est le contraste naturel des teneurs dans un gite (coefficient de dispersion absolu {alpha}). L'auteur distingue 3 formes de reconnaissance des gites, la mauvaise, la bonne et l'ideale. La premiere est la reconnaissance anarchique trop souvent recontree la seconde est la reconnaissance logique fondee sur une implantation systematique des galeries, sondages, etc. La troisieme, difficile a atteindre, est celle qui minimise la depense des recherches pour une precision fixee a l'avance. Une partie de l'ouvrage traite des erreurs d'echantillonnage telles que celles resultant du quartage d'un lot (theorie de Pierre GY), ou celles issues de l'emploi de la radioactivite pour estimer les teneurs. Une autre partie traite des erreurs d'extension (assimilation du gite a ses echantillons) et donne les formules essentielles pour calculer ces erreurs aleatoires (geostatistique de Matheron). A propos de l'estimateur lui-meme, on note la disharmonie entre l'echantillon et sa zone d'influence, et le moyen de remedier a cette discordance par le 'krigeage' est fourni dans l'ouvrage. La these donne de nombreux exemples des differents parametres numeriques qui caracterisent un gite d'uranium (coefficient de dispersion absolu) ou un minerai d'uranium (parametre de liberation), ainsi que plusieurs exemples de droite de correspondance de radioactivite {gamma} teneur en U. Trois cas d'estimation complete sont traites. L'ouvrage se termine sur la notion de risque de ruine, qui, dans certains cas particuliers, doit etre pris. Un index alphabetique detaille permet de retrouver dans l'ouvrage, les notions, les formules ou les theories qui interessent plus particulierement le lecteur. (auteur)}
place = {France}
year = {1964}
month = {Feb}
}