E3S Web Conf.
Volume 105, 2019IVth International Innovative Mining Symposium
|Number of page(s)||6|
|Section||Environment Saving Mining Technologies|
|Published online||21 June 2019|
Evaluation of Geological Risks of Commercial Development of Complex Structured Coal Deposits
T.F. Gorbachev Kuzbass State Technical University, 650000, Kemerovo, Russia
2 Kemerovo branch of the Institute of Computational Technologies of Siberian Branch of the Russian Academy of Sciences, 650025, Kemerovo, Russia
3 Federal State Budget Scientific Institution «The Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences», 650065, Kemerovo, Russia
* Corresponding author: email@example.com
The main risk in the commercial development of complex located coal deposits is a geological risk, which is assessed by the results of coal resources classification at sufficient confidence. In conditions of complex located coal deposits, the main factor which determines categories of coal Reserves is the confidence of geological structural data, a reliable estimation of which is provided only with the use of quantitative methods. The use of conventional geostatistical and geometrical approaches to the reserves categorization in this kind of deposits is impossible. The confidence of complex located coal deposits is proposed to be quantitatively evaluated by the similarity degree of seams position on the adjacent exploration lines. This similarity is estimated with a special similarity coefficient varying from 0 to 1, determined based on curves correlation, which is adapted to the problem-solving method, in the complex plane. The obtained results provide the quality increase of the geological materials confidence evaluation and can be used to solve issues of the geological risk evaluation of the development of complex located coal deposits, during commercial or state expertise of geological information.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.