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An improved method for hydrofracture induced microseismic event detection and phase picking

Author(s)
Song, Fuxian; Kuleli, Huseyin Sadi; Toksoz, M. Nafi; Ay, Erkan; Zhang, Haijiang
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Downloadpaper12_Song_eventdetect_2010.pdf (2.731Mb)
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Massachusetts Institute of Technology. Earth Resources Laboratory
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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 downhole monitoring dataset of the microseismic events induced by hydraulic fracturing. We show that, for this case, one event with a signal-to-noise ratio around 6dB, which is barely detectable using an array-stacked short-time average/long-time average (STA/LTA) detector under a reasonable false alarm rate, is readily detected on the array-stacked correlation traces. The transformed spectrogram analysis of the detected events improves P and S phase picking.
Date issued
2010
URI
http://hdl.handle.net/1721.1/68587
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;2010-12
Keywords
Microseismic

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