• ISSN 2097-1893
  • CN 10-1855/P
张丽娜,谢军,迟本鑫,刘红平,包丰. 2023. 分布式光纤地震传感技术在成像研究中的应用进展. 地球与行星物理论评(中英文),54(2):140-149. doi: 10.19975/j.dqyxx.2022-049
引用本文: 张丽娜,谢军,迟本鑫,刘红平,包丰. 2023. 分布式光纤地震传感技术在成像研究中的应用进展. 地球与行星物理论评(中英文),54(2):140-149. doi: 10.19975/j.dqyxx.2022-049
Zhang L N, Xie J, Chi B X, Liu H P, Bao F. 2023. Recent advances in distributed acoustic sensing applications for seismic imaging. Reviews of Geophysics and Planetary Physics, 54(2): 140-149 (in Chinese). doi: 10.19975/j.dqyxx.2022-049
Citation: Zhang L N, Xie J, Chi B X, Liu H P, Bao F. 2023. Recent advances in distributed acoustic sensing applications for seismic imaging. Reviews of Geophysics and Planetary Physics, 54(2): 140-149 (in Chinese). doi: 10.19975/j.dqyxx.2022-049

分布式光纤地震传感技术在成像研究中的应用进展

Recent advances in distributed acoustic sensing applications for seismic imaging

  • 摘要: 分布式光纤地震传感技术是新一代密集台阵观测技术,其利用光纤在地震波场作用下产生的光时程变化,探测地下介质的动态应变信号. 其具有空间采样率高、恶劣条件耐受性强、运维成本低等优势,适用于城市、海洋、深井、冰川等传统地震学观测手段较难开展工作的环境. 本文围绕该技术在地球内部结构成像研究中的应用,调研了从浅表数米到莫霍面深度等不同尺度成像的研究进展,其利用信号为从地脉动到高频交通噪声等多频段被动源和不同级别的主动源. 文章同时分析了该技术面临的一些挑战,包括信号质量和信号保真度、海量数据处理和波场信息挖掘、海量数据存储和共享分析等,由此建议,须开展主被动源高分辨率动态成像、仪器传递函数计算及其校正方法、大数据有效信息挖掘等研究,从而更好地服务于高密度、高精度的光纤传感地震成像研究.

     

    Abstract: Distributed fiber-optic seismic sensing is a next-generation seismic acquisition technology. It records dynamic strain based on the phase change of back-scattered Rayleigh light caused by incident seismic waves. This method generates a dense record of the seismic wavefield using optic fibers which are durable in extreme environments and have low maintenance costs. Consequently, it has been widely used for surveys of urban areas, the ocean bottom, boreholes, and glaciers. In this study, we focus on its applications in seismic imaging and the monitoring of seismic velocity change. Previous studies have employed both passive and active sources to explore structures ranging from near-surface depths to the Moho. Although impressive achievements have been made, the research community still faces challenges such as data quality, signal fidelity, storage, processing, and information mining of large data volumes. Therefore, active and passive high-resolution 4D imaging, instrument transfer function calculation, and effective big data mining should be conducted as part of future studies to achieve high-density and high-precision seismic imaging with this fiber-optic sensing technology.

     

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