2010
DOI: 10.1190/1.3484716
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An improved method for hydrofracture-induced microseismic event detection and phase picking

Abstract: The ability to detect small microearthquakes and identify their P and S phase arrivals is a key issue in hydrofracture downhole monitoring because of the low signal-to-noise ratios.We apply an array-based waveform correlation approach (matched filter) to improve the detectability of small magnitude events with mechanisms and locations similar to a nearby master event. After detecting the weak events, we use a transformed spectrogram method to identify the phase arrivals. We have tested the technique on a downh… Show more

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Cited by 95 publications
(41 citation statements)
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“…We picked arrivals for 32,078 microearthquakes using a short-term average to long-term average algorithm, and then refined these picks using spectral methods [e.g. Song et al, 2010]. Linear clock drift corrections were applied to each station, and these corrections were further refined to account for non-linear clock drift by cross-correlating long-wavelength (> 500 m) microseism signals [Webb, 1992;Webb and Crawford, 1999] propagating across the small-aperture sub-network.…”
Section: Discussionmentioning
confidence: 99%
“…We picked arrivals for 32,078 microearthquakes using a short-term average to long-term average algorithm, and then refined these picks using spectral methods [e.g. Song et al, 2010]. Linear clock drift corrections were applied to each station, and these corrections were further refined to account for non-linear clock drift by cross-correlating long-wavelength (> 500 m) microseism signals [Webb, 1992;Webb and Crawford, 1999] propagating across the small-aperture sub-network.…”
Section: Discussionmentioning
confidence: 99%
“…This records the physical phenomena caused by fracture propagation acting like a microearthquake [52]. As the fracture opens it propagates a primary (or compression) wave and a shearing wave (Pand S-waves, respectively) through the surrounding medium.…”
Section: Numerical Illustration: Electromagnetic Excitation Of Non-brmentioning
confidence: 99%
“…In actual situations, seismic signals recorded by geophones are usually contaminated by noise, which may cause picking errors (Rodriguez et al 2012;Song et al 2010;Tan et al 2014). Compared with borehole observations, the picking errors of P-wave arrivals are relatively large at the surface.…”
Section: The Sensitivity To Picking Errorsmentioning
confidence: 99%