A first arrival detection method for low SNR microseismic signal

Acta Geophysica

Yanchun Wang¹  Ruiqing Hu² 

[1] China University of Geosciences;University of Geosciences

关键词: First arrival picking;    Adaptive Morlet wavelet;    Principal component analysis;    Microseismic event;   

DOI  :  10.1007/s11600-018-0193-3

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

Most of the microseismic signals have low signal-to-noise ratio (SNR) due to the strong background noise, which makes it difficult to locate the first arrival time. Both accuracy and stability of conventional methods are poor in this situation. To overcome this problem, here we proposed a new method based on the adaptive Morlet wavelet and principal component analysis process in wavelet coefficients matrix. The three components of microseismic signal make it possible to extract the features in wavelet coefficients domain. Then the reconstructed signal from weighted features presents an obvious first arrival. Tests on synthetic signals and real data provide a solid evidence for its feasibility in low SNR microseismic signal.

【 授权许可】

Unknown