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Application of Adaptive Filtering Techniques for Filtering Induced Seismic Noise

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Problems of Geocosmos–2020

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Abstract

The complexity and versatility of modern research requires the development and improvement of methods and tools for the operational processing of seismic data. Often, the main task in seismic data processing is to efficiently and reliably extract useful components from the recorded signal for their further use. Obviously, in this case, seismologists need to use the entire arsenal of methods and algorithms for reducing in modern information-measuring systems induced noise caused by various kinds of dynamic processes. An adaptive filter can be proposed as one of the options for solving such problems of filtering a seismic signal in the presence of interference caused by various kinds of dynamic processes. This article is devoted to the problems of using adaptive filters to separate seismic signals with simultaneous digital recording of a seismic signal and atmospheric pressure. The article shows that using adaptive filtering, it is possible to significantly improve the signal-to-noise ratio and successfully to separate seismic signals masked by induced interference. Thus, using the adaptive filtering method, it is possible to solve the problem of improving the data quality of seismic instruments by removing unwanted induced noise from them.

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Acknowledgements

The authors express their gratitude to the staff of the Seismological Department of the Royal Observatory of Belgium for their invaluable assistance in organizing the experiment.

Author information

Authors and Affiliations

  1. Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences (IPE RAS), Moscow, Russia

    V. V. Gravirov

  2. Institute of Earthquake Prediction Theory and Mathematical Geophysics of the Russian Academy of Science (IEPT RAS), Moscow, Russia

    V. V. Gravirov & K. V. Kislov

Authors
  1. V. V. Gravirov
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  2. K. V. Kislov
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Editor information

Editors and Affiliations

  1. Earth Physics Department, Saint Petersburg State University, St. Petersburg, Russia

    Andrei Kosterov

  2. Saint Petersburg State University, St. Petersburg, Russia

    Nikita Bobrov

  3. Saint Petersburg State University, St. Petersburg, Russia

    Evgeniy Gordeev

  4. Centre for Earth Evolution and Dynamics, University of Oslo, Oslo, Norway

    Evgeniy Kulakov

  5. Saint Petersburg State University, St. Petersburg, Russia

    Evgeniya Lyskova

  6. Saint Petersburg State University, St. Petersburg, Russia

    Irina Mironova

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Gravirov, V.V., Kislov, K.V. (2022). Application of Adaptive Filtering Techniques for Filtering Induced Seismic Noise. In: Kosterov, A., Bobrov, N., Gordeev, E., Kulakov, E., Lyskova, E., Mironova, I. (eds) Problems of Geocosmos–2020. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-91467-7_23

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