Minhan Sheng
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View article: Extended differential CAP method for earthquake source parameter inversion with high-rate GNSS relative positioning
Extended differential CAP method for earthquake source parameter inversion with high-rate GNSS relative positioning Open
SUMMARY Near-field large-amplitude seismograms are essential for the rapid inversion of earthquake source parameters using waveform inversion methods such as the Cut And Paste (CAP) method for disaster assessment. High-rate Global Navigati…
View article: Stress Features Inferred From Induced Earthquakes in the Weiyuan Shale Gas Block in Southwestern China
Stress Features Inferred From Induced Earthquakes in the Weiyuan Shale Gas Block in Southwestern China Open
Stress features, particularly local stress field and earthquake stress drops, are important to understand mechanism of induced earthquakes. Since shale gas exploitations in 2015, the Weiyuan shale gas block has experienced frequent earthqu…
View article: Earthquakes triggered by fluid diffusion and boosted by fault reactivation in Weiyuan, China due to hydraulic fracturing
Earthquakes triggered by fluid diffusion and boosted by fault reactivation in Weiyuan, China due to hydraulic fracturing Open
The zip file contains waveform data for a refined earthquake catalog built by Sheng et al. (2021), recorded by dense seismic array in the Weiyuan shale gas block in China. Each directory includes one earthquake.
View article: Template matching for simple waveforms with low signal-to-noise ratio and its application to icequake detection*
Template matching for simple waveforms with low signal-to-noise ratio and its application to icequake detection* Open
Template matching is a useful method to detect seismic events through waveform similarity between two signals. The traditional template matching method works well in detecting small tectonic earthquakes. However, the method has some diffic…
View article: CRPN: A cascaded classification and regression DNN framework for seismic phase picking*
CRPN: A cascaded classification and regression DNN framework for seismic phase picking* Open
Current deep neural networks (DNN) used for seismic phase picking are becoming more complex, which consumes much computing time without significant accuracy improvement. In this study, we introduce a cascaded classification and regression …