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MODERN METHODS OF PROCESSING AND ANALYZING SEISMIC DATA BASED ON MACHINE LEARNING

Aykin Andrey Vladimirovich  (Director of LLC NC BIT, Kemerovo)

Nikishin Viktor Viktorovich  (Lead Software Engineer LLC NC BIT, Kemerovo )

Igin Pavel Konstantinovich  (lead coder LLC NC BIT, Kemerovo )

Remizov Stanislav Vadimovich  (head of scientific department LLC NPO "ALZAMIR", Kemerovo )

The control of seismic events during mining operations is an extremely important aspect of the safety and efficiency of mining. To ensure the control of seismic events during mining operations, various methods are used, such as monitoring of seismic activity, modeling of seismic processes, the use of special technologies and equipment. The most effective model for predicting the occurrence of seismic events is the RandomForestClassifier (Accuracy score 0,98606). This is also confirmed by analytical data, where the result of similar work is similar in value obtained probabilities of occurrence of seismic events.

Keywords:mountain impact, machine learning, seismic events, seismic observation data.
 

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Citation link:
Aykin A. V., Nikishin V. V., Igin P. K., Remizov S. V. MODERN METHODS OF PROCESSING AND ANALYZING SEISMIC DATA BASED ON MACHINE LEARNING // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№04/2. -С. 25-27 DOI 10.37882/2223-2966.2024.4-2.02
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