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地球与行星物理

ISSN  2096-3955

CN  10-1502/P

Citation: Wing Ching Jeremy Wong, JinPing Zi, HongFeng Yang, and JinRong Su, 2021: Spatial-temporal Evolution of Injection Induced Earthquakes in Weiyuan Area by Machine-Learning Phase Picker and Waveform Cross-correlation, Earth and Planetary Physics. http://doi.org/10.26464/epp2021055

doi: 10.26464/epp2021055

Spatial-temporal Evolution of Injection Induced Earthquakes in Weiyuan Area by Machine-Learning Phase Picker and Waveform Cross-correlation

1 Earth System Science Programme, Faculty of Science, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China;

2 Earthquake Monitoring Centre, Sichuan Earthquake Agency, Chengdu, China

Corresponding author: HongFeng Yang, hyang@cuhk.edu.hk

Fund Project: This study was supported by National Key R&D Program of China (2018YFC1504501), Research Grants Council of the Hong Kong Special Administrative Region, China under the NSFC/RGC Joint Research Scheme (N_CUHK430/16), RGC-Germany Joint Research Scheme (G-CUHK408/19), and Faculty of Science, CUHK.

Anthropogenic inducing seismicity has been widely reported and investigated in many regions, including the shale gas fields in the Sichuan basin, where the number of earthquakes has increased substantially since the commence of fracking in late 2014. However, the mechanism of induced earthquakes remains poorly understood, partly due to the lack of high-resolution spatial-temporal seismicity evolution. In contrast to most of the previous studies using a diffusive earthquake catalog constructed by routine methods, we constructed a high resolution catalog using a machine learning detector and waveform cross-correlation. The newly developed catalog improves the magnitude completeness and detected one-third additional earthquakes with limited data. The resulted catalog illuminates a comprehensive spatial-temporal migration of the emerging seismicity in the target area, with one of the clusters clearly delineating a potential unmapped fault trace led to the Mw 5.0 in 2019 September, by far the largest earthquake in the region. The migration of the seismicity also demonstrates a pore-pressure diffusion front, suggesting additional constraints on the inducing mechanism of the region. The patterns of the highly clustered seismicity reconcile the causal link between the emerging seismicity and hydraulic fracturing in the region and facilitate continued investigation of the induced mechanisms and associated risks.

Key words:

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Spatial-temporal Evolution of Injection Induced Earthquakes in Weiyuan Area by Machine-Learning Phase Picker and Waveform Cross-correlation

Wing Ching Jeremy Wong, JinPing Zi, HongFeng Yang, and JinRong Su