Filtering of microseismic data based on information about signal phases
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...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2021-05, Vol.773 (1), p.12002 |
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| container_title | IOP conference series. Earth and environmental science |
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| creator | Azarov, AV Serdyukov, AS |
| description | 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. |
| doi_str_mv | 10.1088/1755-1315/773/1/012002 |
| format | Article |
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| source | IOP Publishing Free Content; Institute of Physics IOPscience extra; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Filtration Microseisms Signal to noise ratio |
| title | Filtering of microseismic data based on information about signal phases |
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