Transient processes in coal mining

Authors: Osipova I.А.

Coal mining is a part and parcel of safe and efficient subsoil use. One of the main problems in coal mining in the Russian Federation is coal and gas outbursts. In view of the changed external and internal challenges of coal production Russian mines, it is proposed to consider the problem in the light of intelligent control. The purpose of the study is to demonstrate the internal development of transient processes in a coal mine from the viewpoint of intelligent control. The study objective is probabilistic first-approximation modeling of initiation of coal and gas outbursts. The study is based on the construction of a probabilistic model using the Markov chains. As a result of the study based the probabilistic modeling, we can conclude that it is necessary to update the seismoacoustic monitoring data on condition of surrounding rock mass around headings. The solution is complicated by the need to select a reliability strategy and by the uniqueness of each coal field.

Keywords: transient process, coal seam, coal and gas outbursts, intelligent control, probabilistic model, Markov chain.
For citation:

Osipova I. A. Transient processes in coal mining. MIAB. Mining Inf. Anal. Bull. 2021;(5—1):292—299. [In Russ]. DOI: 10.25018/0236_1493_2021_51_0_292.



The article is based on the R&D project implemented within the framework of the Basic Research Program of the Governmental Academies of Sciences, Topic 1: Methods to Take into Account Transient Processes in Mining Deep-Seated Mineral Deposits of Complex Structure, No. 0405-2019-0005.

Issue number: 5
Year: 2021
Page number: 292-299
ISBN: 0236-1493
UDK: 622.272:004.94
DOI: 10.25018/0236_1493_2021_51_0_292
Article receipt date: 15.12.2020
Date of review receipt: 01.03.2021
Date of the editorial board′s decision on the article′s publishing: 10.04.2021
About authors:

Osipova I. А., Cand. Sci. (Eng.), Senior Research Office of the sector Mineral Quality Management, Institute of Mining, The Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia, e-mail:

For contacts:

1. Yakovlev V. L. Issledovanie perehodnyh processov novoe napravlenie v razvitii metodologii kompleksnogo osvoeniya georesursov [Study of transition processes a new direction in the development of a methodology for the integrated development georesources], Ekaterinburg, Institute of Mining, The Ural Branch of the Russian Academy of Sciences, 2019, 284 p. DOI: 10.25635/IM.2020.54.57311. [In Russ]

2. Osipova I. A. Approach to creating an integrated model for research forecast of extraordinary emissions of coal and gas, MIAB. Mining Inf. Anal. Bull. 2020, no. 3—1, pp. 170—177. DOI: 10.25018/0236—1493—2020—31—0-170—177. [In Russ]

3. Anthracite market in Russia: In 2015, production increased by 2 %. INDEEXBOX Marcketing&consulting: available at: http:. dobychi-antratsita-vyros/ (accessed: 21.02.2020). [In Russ]

4. Valyev A. M., Zajcev A. V. On medium-term planning of open pit mining at complex structural coal deposits. MIAB. Mining Inf. Anal. Bull. 2014, no. 2, pp. 287—293. [In Russ]

5. Doklad Aleksandra Novaka o Programme razvitiya ugol'noj promyshlennosti na period do 2035 goda [Repot of Alexander Novak on the Coal Industry Development Program until 2035], available at: http:. (accessed: 28.02.2020). [In Russ]

6. Yakovlev V. L., Osipova I. A. Transient processes during coal deposit development in the light of intelligent control. Izvestiya Ural’skogo gosudarstvennogo gornogo universiteta. 2020, no. 4.pp. 90—96. [In Russ]

7. Zykov V. S. Vnezapnye vybrosy uglya i gaza i drugie gazodinamicheskie yavleniya v shahtah [Sudden emissions of coal and gas and other gas-dynamic phenomena in mines Sudden emissions of coal and gas and other gas-dynamic phenomena in mines], Kemerovo, Institut uglya i uglekhimii SORAN, 2010, 333 p.[In Russ]

8. Zykov V. S. Factors and properties of the mountain massif, determining the type of hazard by geodynamic phenomena. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta. 2014, , no. 5 (105), pp. 9—17 [In Russ]

9. Puterman L. M. Markov Decision Processes. Wiley. 2019. 643 p.

10. Buflet O. Markov Decision Processes in Aartificial Intelligence. Wiley. 2018. 453 p.

11. Kirkwood R. J. Markov processes. CRC Press. 2015. 340 p.

12. Quan-Lin Li Nonlinear Markov processes in big networks. Proceedings of the 24th International Workshop on Matrices and Statistics. 2016. 4. pp. 202—217 DOI 10.1515/ spma-2016—0019.

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.