Stochastic simulation of underground coal extraction
schedule
A. Merzlikin1*, L. Zakharova2,
Y. Merzlikina1
1Donetsk National
Technical University, Lutsk, Ukraine
2Branch for Physics of Mining Processes of the
M.S. Poliakov Institute of Geotechnical Mechanics the National Academy Sciences
of Ukraine, Dnipro, Ukraine
*Corresponding author:
e-mail: artem.merzlikin@donntu.edu.ua
Physical and technical
problems of mining production, 2022, (24), 67-81.
https://doi.org/10.37101/ftpgp24.01.006
full
text (pdf)
ABSTRACT
Purpose. Improvement of the
technique of stochastic modeling of the schedule of mining by introducing
and taking into account mutual dependencies between elementary operations
of the main processes of coal mining.
Methods. The energy complex of
Ukraine depends on the supply of gas, oil, nuclear fuel, as well as on the
development of its coal industry. Underground coal mining is carried out in
exclusively dangerous and specific conditions. Risks posed by uncertainty
worsens the coal mining program, which usually leads to chronic failure to
maintain the schedule of mining operations. This reduces profitability of
coal mining and, as a consequence, affects the economic condition of the
industry as a whole. In this paper, for the first time, the mining Gantt
chart is considered as a complex of continuous and discrete operations.
Findings. Application of the
stochastic modeling method allows you to create many options for the
implementation of the mining work schedule and thus cover all potentially
possible implementations. As a result of the research, the method of
stochastic modeling was improved by introducing and taking into account the
interdependencies between the elementary operations of the main mining
processes.
Practical implications. For the conditions of
uncertain coal mining, it was established that the most promising ways to
reduce mining risks are modern information technologies, which are based on
monitoring early signals of the stochastic environment in which coal mining
takes place.
Keywords: schedule of mining
operations, uncertainty, stochastic simulation, elementary operations,
risks
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