Abstract
AbstractReal-time microseismic observations are extensively used in underground hard rock mines. However, microseismic monitoring in coal mines is not common. In this study, the features of microseismic (MS) event waveforms were discussed under conditions of thin-layered sedimentary media. The possibility of source mechanism evaluation was considered for the MS event recorded in coal mine. Moment tensor (MT) inversion of the waveforms can be challenging due to influence of thin-layered medium structure. Splitting of shear SH- and SV-waves is one of the characteristic features that affect MS records in coal mines. The effect of splitting was demonstrated using real microseismic data collected by an underground seismic array installed in the Polosukhinskaya coal mine, Russia. Velocities of shear SH- and SV-waves were estimated from travel times. The results reveal significant variations in shear wave velocities composed of a radial anisotropy of 75%, thus confirming the importance of a thin-layered model for moment tensor inversion. The thin-layered model was built for geological conditions at the Polosukhinskaya coal mine and synthetic seismograms were generated using QSEIS (Pyrocko OS). A full moment tensor of a single typical event was found employing the layered 1D velocity model.
Funder
University of New South Wales
Publisher
Springer Science and Business Media LLC
Reference18 articles.
1. Cai, W., Dou, L., Si, G., Cao, A., Gong, S., Wang, G., & Yuan, S. (2019). A new seismic-based strain energy methodology for coal burst forecasting in underground coal mines. International Journal of Rock Mechanics and Mining Sciences, 123(104086), 1365–1609. https://doi.org/10.1016/j.ijrmms.2019.104086
2. Crampin, S. (1984). An introduction to wave propagation in anisotropic media. Geophysical Journal of the Royal Astronomical Society, 76, 17–28.
3. Crampin, S. (2020). Shear-wave splitting: New geophysics and earthquake stress-forecasting. Encyclopedia of solid earth geophysics. Encyclopedia of earth sciences series. Springer.
4. Hanks, T. C., & Kanamori, H. (1979). A moment magnitude scale. Journal of Geophysical Research, 84(B5), 2348–2350. https://doi.org/10.1029/JB084iB05p02348
5. Heimann, S., Vasyura-Bathke, H., Sudhaus, H., Isken, M., Kriegerowski, M., Steinberg, A., & Dahm, T. (2019). A Python framework for efficient use of pre-computed Green’s functions in seismological and other physical forward and inverse source problems. Solid Earth Discussions, 10, 1921–1935. https://doi.org/10.5194/se-2019-85