Issue |
E3S Web Conf.
Volume 174, 2020
Vth International Innovative Mining Symposium
|
|
---|---|---|
Article Number | 01063 | |
Number of page(s) | 7 | |
Section | Environment Saving Mining Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202017401063 | |
Published online | 18 June 2020 |
Adjustment of the Exploration Grids and its use to increase the Reliability of Geological Models of Coal Deposits
1 T.F. Gorbachev Kuzbass State Technical University, 650000, 28 Vesennyaya St., Kemerovo, Russia
2 Kemerovo branch of the Institute of Computational Technologies of Siberian Branch of the Russian Academy of Sciences, 650025, 21 Rukavishnikova St., 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, 10 Leningradskiy Ave., Kemerovo, Russia
∗ Corresponding author: rogovatb@kuzstu.ru
The current procedure for determining the boundaries of geological domains, the allocation of which is the mandatory element of digital geological modelling, does not entirely take into account the specifics of coal deposits. Without its improvement, it is impossible to increase the reliability of geological models used in the implementation of the “Industry 4.0ˮ strategy. A new method for analysis of geological data is supposed – the adjustment of the exploration grids method. It is to determine the corrections for values of measured parameters, the use of which eliminates the uncertainty of geological data interpretation. The correction values determined by the method of conditional measurements, which used at equalization geodetic networks. Corrections are considered as an indicator of the significance of measurement and interpolation errors which occurs in the vicinity of specific measurement points. The measured values of parameters are not corrected. Geological domains are the areas with close in values corrections, whose boundaries are corrections isolines. Separate single corrections of anomalous magnitude indicate the presence of extreme values parameters.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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