A first arrival detection method in low SNR microseismic signals based on CEEMDAN-PCA
HU Ruiqing1,2, WANG Yanchun2, YIN Zhiheng3, WANG Wei4
1. Geodetection Laboratory, Ministry of Education, China University of Geosciences(Beijing), Beijing 100089 China; 2. School of Geophysics and Information Technology, China University of Geosciences(Beijing), Beijing, 100089 China; 3. SINOPEC Geophysical Corporation, Beijing 100020, China; 4. BGP Training Center, CNPC, Zhuozhou, Hebei 072750, China
Abstract:In most cases,conventional methods cannot extract precise and stable first arrivals from microseismic signals due to its low signal-to-noise ratio (SNR).To overcome this difficulty,we propose here a new method based on comprehensive ensemble empirical mode decomposition (CEEMDAN) with adoptive noise and principal component analysis (PCA).First PCA of each order intrinsic mode function (IMF) is carried out after CEEMDAN processing.Then the main components of each order of the IMF are reconstructed and the secondary components are suppressed or removed so that the initial information with strong consistency in three-component signals can be retained.Tests on multi-set synthetic data with different SNR and real data for this method were carried out.The test results provide a solid evidence for the feasibility of the proposed method in first arrival extraction from low SNR microseismic signals.
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HU Ruiqing, WANG Yanchun, YIN Zhiheng, WANG Wei. A first arrival detection method in low SNR microseismic signals based on CEEMDAN-PCA. Oil Geophysical Prospecting, 2019, 54(1): 45-53.
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