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ESTIMATION OF GEOLOGICAL STUDY OF A DEPOSIT AREA WHILE MINING PLANNING

Georgy Abramyan

First published: 2019-06-20https://doi.org/10.5593/sgem2019/1.3/s03.035View metrics

Abstract

A prerequisite for reliable and efficient mining planning is the presence of reliable information on the spatial placement of geological indicators of the deposit area planned for mining. The integral estimation of this information is finally shown as geological study of deposit area, which directly or indirectly affects the indicators of mining and processing of mined mineral raw materials. In this article, in order to estimate the geological study of a deposit area planned for mining, its geological and economic model is proposed. Estimation errors of geological indicators of the deposit area planned for mining and economic consequences of these errors are taken into account. Error estimation of geological indicators is carried out on the basis on the analysis of multidimensional matrix. Its elements are covariance functions of these indicators and stochastic transition probability matrix. The economic consequences of errors in geological indicators take into account both the damage from mining operations and the processing of mined mineral raw materials. The optimal level of geological study of planned for mining deposit area is determined based on mining risk function.

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Publication details

Title
ESTIMATION OF GEOLOGICAL STUDY OF A DEPOSIT AREA WHILE MINING PLANNING
Authors
Georgy Abramyan
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings19th, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2019
Pages
279-284
SWS Citekey
Abramyan20193279284
ISSN
1314-2704
ISBN
978-619-7408-78-2
Language
en
Publication type
Conference Paper
Keywords
References5
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  2. Zwikael, O., & Globerson, S., Evaluating the quality of project planning: a model and field results. International Journal of Production Research, 42(8), pp 1545- 1556, 2004;

  3. Minasny, B., & McBratney, A. B. Spatial prediction of soil properties using EBLUP with the Matérn covariance function. Geoderma, 140(4), pp 324-336. 2007;

  4. Abramyan, G. O., Delineation of geochemical field parameters field. Mining informational and analytical bulletin (scientific and technical journal) , (the S1), 2015;

  5. Tuljapurkar, S., Stochastic matrix models. In Structured-Population Models in Marine, Terrestrial, and Freshwater Systems(pp. 59-87). Springer, Boston, MA. 1997.

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