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Darya D. Sekerina
Darya D. Sekerina
Postgraduate Student
Empress Catherine II Saint Petersburg Mining University
Postgraduate Student
Empress Catherine II Saint Petersburg Mining University
Saint Petersburg
Russia
2
Total cited
1
Hirsch index

Articles

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-04-06
  • Date accepted
    2023-12-27
  • Date published
    2024-04-25

Localization of sites for the development of geomechanical processes in underground workings based on the results of the transformation and classification analysis of seismic data

Article preview

The paper considers an approach to localizing the intervals of development of geomechanical processes in underground structures based on the classification and transformation of seismic data. The proposed approach will make it possible to identify the intervals of fracturing, rock decompression, water inflow and other geomechanical processes when interpreting the results of seismic surveys. The technique provides for the formation of matrices of longitudinal (Vp), transverse (Vs) velocities and velocity ratios (Vs/Vp) along the research profile to perform sequential filtration. The filtration results serve as the basis for the formation of a bank of informative materials for further classification. Based on the domestic KOSKAD 3D software, four approaches have been implemented for a combined digital model of the Vp, Vs and Vs/Vp parameters. One of the key elements in the classification process is to combine grids to increase the probability of detecting intervals with heterogeneous identification features. The result of the application of this methodical approach is the construction of a comprehensive interpretative model, on which potential zones of geomechanical risks development are clearly manifested.

How to cite: Danilev S.M., Sekerina D.D., Danileva N.A. Localization of sites for the development of geomechanical processes in underground workings based on the results of the transformation and classification analysis of seismic data // Journal of Mining Institute. 2024. Vol. 266. p. 260-271. EDN IEWVBO