Features of Software Implementation of Low-Frequency Deconvolution Algorithms


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Resumo

The low-frequency deconvolution method makes it possible to convert digital records of electrodynamic seismometers to records of virtual sensors of a similar type, but with a lower natural frequency. The procedure requires only knowledge of the sensor parameters, which can be found from its technical description or obtained by calibration. Deconvolution in the time domain requires attention in choosing a numerical integration method, since use of the simplest methods leads to signal distortion. This is especially noticeable when the sampling rate of the original record is close to a geophone’s natural frequency. A universal approach is presented: realization of a low-frequency deconvolution algorithm in the frequency domain. Testing has shown good accuracy both in synthetic tests and for real seismological records, which were used to demonstrate reconstruction of the low-frequency component of a seismic geophone signal. The results are mainly relevant for problems that use a low sampling rate of recording, and they place high demands on the metrological characteristics of the recording equipment (e.g., local and regional seismicity monitoring).

Sobre autores

P. Dergach

Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences

Autor responsável pela correspondência
Email: DergachPA@ipgg.sbras.ru
Rússia, Novosibirsk, 630090

Ts. Tubanov

Geological Institute, Siberian Branch of the Russian Academy of Sciences

Email: DergachPA@ipgg.sbras.ru
Rússia, Ulan-Ude, 670047

V. Yushin

Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences

Email: DergachPA@ipgg.sbras.ru
Rússia, Novosibirsk, 630090

A. Duchkov

Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State Technical University

Email: DergachPA@ipgg.sbras.ru
Rússia, Novosibirsk, 630090; Novosibirsk, 630073


Declaração de direitos autorais © Allerton Press, Inc., 2019

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