On a Bayesian estimation procedure for determining the average ore grade of a uranium deposit

Autor:	Carolyn D. Heising, J.A. Zamora-Reyes
Rok vydání:	1996
Předmět:	Bayes estimator Bayes' theorem Nuclear Energy and Engineering Single stage Complete information Statistics Bayesian probability Mineralogy Drilling Geology Uranium deposit
Zdroj:	Annals of Nuclear Energy. 23:543-552
ISSN:	0306-4549
DOI:	10.1016/0306-4549(95)00044-5
Popis:	A Bayesian procedure is applied to estimate the average ore grade of a specific uranium deposit (the Morrison formation in New Mexico). Experimental data taken from drilling tests for this formation constitute deposit specific information, E2. This information is combined, through a single stage application of Bayes' theorem, with the more extensive and well established information on all similar formations in the region, E1. It is assumed that the best estimate for the deposit specific case should include the relevant experimental evidence collected from other like formations giving incomplete information on the specific deposit. This follows traditional methods for resource estimation, which presume that previous collective experience obtained from similar formations in the geological region can be used to infer the geologic characteristics of a less well characterized formation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a81ba269e22f748beb416e95e1cbe08e https://doi.org/10.1016/0306-4549(95)00044-5 Zobrazit plný text záznamu Full Text from ScienceDirect