Abstract
Abstract
Seismic data filtering algorithm has been developed. The proposed algorithm allows amplifying signals from the sources located inside a selected area of space. The paper presents a theory describing the principle of this algorithm. Testing on synthetic data showed that the proposed filtering method is capable to suppress signals from the sources located outside the selected area of space. On semi-synthetic data it was shown that the proposed filtering method allowed to suppress real noise and significantly increases the signal-to-noise ratio for the events located inside a selected area of space.
Reference6 articles.
1. Equipment for microseismic monitoring of geodynamic processes in underground hard mineral mining;Serdyukov;Journal of Mining Science,2015
2. Noise suppression in surface microseismic data;Forghani-Arani;The Leading Edge,2012
3. Dispersion analysis of passive surface-wave noise generated during hydraulic-fracturing operations;Forghani-Arani;Journal of Applied Geophysics,2014
4. Numerical modeling of microseismic noise in the block-hierarchical heterogeneous environments;Azarov;Mining Informational and Analytical Bulletin,2015
5. Numerical modeling of wavefields of microseismic events in underground mining;Kurlenya;Journal of Mining Science,2015