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Noise suppression of distributed acoustic sensing vertical seismic profile data based on time–frequency analysis

Abstract

Distributed acoustic sensing (DAS) technology is a novel technology applied in vertical seismic profile (VSP) exploration, which has many advantages, such as low cost, high precision, strong tolerance to harsh acquisition environment. However, the field DAS-VSP data are often disturbed by complex background noise and coupling noise with strong energy, affecting the quality of seismic data seriously. Therefore, we develop a time–frequency analysis method based on low-rank and sparse matrix decomposition (LSMD) and data position points distribution maps (DPM) to separate signals from noise. We adopt Multisynchrosqueezing Transform to construct the approximate ideal time–frequency representation of DAS data, which reduces the difficulty of signal to noise separation and avoids the loss of some effective information to a certain extent. The LSMD is performed to separate the signal component and noise component preliminarily. In addition, combined with the separated low-rank matrix and sparse matrix, we propose the DPM to improve the accuracy of signal component extraction and the recovery ability of the method for weak signals through the joint analysis of the maps in time domain and frequency domain. Both synthetic and field experiments show that the proposed method can suppress coupling noise and background noise and recover weak energy signals in DAS VSP data effectively.

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Acknowledgements

This research is financially supported by the National Natural Science Foundations of China under Grants 41974143 and Grant 41730422.

Funding

This work was supported by the National Natural Science Foundations of China under Grants 41974143 and Grant 41730422.

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Authors and Affiliations

Authors

Contributions

The first draft of the manuscript was written by DS. Data analysis was performed by TL and DS. Data collection was performed by YL and LH.

Corresponding author

Correspondence to Tonglin Li.

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Conflict of interest

The authors declare that they have no conflict of interests.

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Edited by Dr. Rafał Czarny (ASSOCIATE EDITOR) / Prof. Michał Malinowski (CO-EDITOR-IN-CHIEF).

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Shao, D., Li, T., Han, L. et al. Noise suppression of distributed acoustic sensing vertical seismic profile data based on time–frequency analysis. Acta Geophys. 70, 1539–1549 (2022). https://doi.org/10.1007/s11600-022-00820-9

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  • DOI: https://doi.org/10.1007/s11600-022-00820-9

Keywords

  • Distributed acoustic sensing (DAS)
  • Vertical seismic profile (VSP)
  • Time–frequency analysis
  • Noise suppression