Creation of a digital model of extraction pillar by the reflection seismic surveying method

The mechanized method of mining a coal seam with long pillars along the strike requires careful planning and preparation of work. Mining workings are designed in such a way as to minimize their mutual influence in the field of mechanical stresses to ensure stability throughout the entire life cycle of a mining enterprise. One of the most significant factors encountered in underground mining is rock pressure. In the process of mining the extraction column, the stresses in it, under the influence of rock pressure, can change dramatically in short periods of time, which entails additional costs in the form of long downtime for the period of bringing the section of the rock mass to a non-hazardous state. Geological disturbances, both predictable and unpredictable, have a significant impact on the stress state of the rock mass, creating additional risk space. Continuous assessment of the structure and parameters of the mining column section based on the analysis of a digital model allows you to respond in a timely manner to the occurrence of risks associated with a sudden loss of stability in the near zone of mining influence. Creation and updating of a digital model of the investigated section of the extraction column by the Mikon-GEO system for monitoring the state of the mountain massif, which implements the seismic method, allows you to respond and manage the processes of mining operations in an on-line mode.

Keywords: reflection seismic surveying, underground work, automatic processing of seismic data, current monitoring of the state of the rock mass, coal seam, coal mine.
For citation:

Abdrakhmanov M. I., Lapin S. E., Shnaider I. V. Creation of a digital model of extraction pillar by the reflection seismic surveying method. MIAB. Mining Inf. Anal. Bull. 2022;(11-2):148-158. [In Russ]. DOI: 10.25018/0236_1493_2022_112_0_148.

Acknowledgements:
Issue number: 11
Year: 2022
Page number: 148-158
ISBN: 0236-1493
UDK: 624.121.532
DOI: 10.25018/0236_1493_2022_112_0_148
Article receipt date: 16.06.2022
Date of review receipt: 01.10.2022
Date of the editorial board′s decision on the article′s publishing: 10.10.2022
About authors:

M.I. Abdrakhmanov, Cand. Sci. (Eng.), Chief Specialist, e-mail: marat-ab@mail.ru, LLC «Information Mining Technologies», 620144, Ekaterinburg, Russia, ORCID ID: 0000-0002-0391-6204,
S.E. Lapin1, Cand. Sci. (Eng.), Senior Researcher, e-mail: sergei.l@bk.ru, ORCID ID: 0000-0001-9710-8111,
I.V. Shnayder1, Graduate Student, e-mail: ivan-shnajder@yandex.ru, ORCID ID: 0000-0002-9808-4219,
1 Ural State Mining University, 620144, Ekaterinburg, Russia.

 

For contacts:

I.V. Shnayder, e-mail: ivan-shnajder@yandex.ru.

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