Two-dimensional phase unwrapping algorithm aided high-precision source positioning with DAS

多向性 地震记录 计算机科学 杠杆(统计) 算法 分布式声传感 实时计算 软件部署 像素 稳健性(进化) 地震学 地质学 方位角 人工智能 电信 光纤 生物化学 光纤传感器 物理 化学 天文 基因 操作系统
作者
Jianhui Sun,Yuyao Wang,Jialei Zhang,Anchi Wan,Shibo Zhang,Zhenyu Ye,Liu Fulie,Gulan Zhang,Zinan Wang
标识
DOI:10.5194/egusphere-egu23-5955
摘要

Seismic monitoring requires high temporal-spatial resolution and low deployment cost. Distributed acoustic sensing (DAS), as an emerging sensing technology for recording seismic data in recent years, can leverage communication cables for seismic monitoring, providing strong support for more intensive and real-time observation of geological activity. However, the traditional DAS phase unwrapping algorithms (PUAs) derived from Itoh requires the phase difference of adjacent pixels to be less than π, and thus make mistakes in the case of severe noise or large disturbance. In this paper, to the best of our knowledge, two-dimensional (2D) PUA is used to obtain seismograms in DAS for the first time. Satisfactory phase unwrapping is achieved by the 2D PUA method based on the transport of intensity equation (TIE), due to its robustness and noise immunity. Dynamic strain measurements in 80 m straight fiber-optic cable using homemade high-performance DAS, combined with TIE-based 2D PUA produce high-quality seismograms. Time Difference of Arrival (TDOA) Algorithm is applied based on the sensing signal of reliable channels in the seismograms, realizing the high-precision localization of the source. 2D PUAs apply to all phase-demodulation-based sensing techniques and are suitable for recovering spatially correlated objects such as seismic waves, thus having great potential in the field of seismic monitoring.

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