Improved Methods for Hydrofrac Event Detection and Phase Picking
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Song_2009_1.pdf
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Author(s)
Cornish, Bruce
Quirein, John
Ay, Erkan
Pei, Donghong
Zannoni, Steve
Song, Fuxian
Kuleli, Huseyin Sadi
Todreas, M. Nafi
Zhang, Haijiang
Date Issued
2009
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;2009-04
Abstract
The ability to detect small microseismic events and identify their P and S phase arrivals is a key
issue in hydraulic fracture monitoring because of the low signal-to-noise ratios. We propose a
array-based waveform correlation approach to detect small magnitude events with similar
mechanisms and locations as a nearby master event. For the phase picking part, a transformed
spectrogram method is used to identify the weak P arrivals. We have applied the technique to a
downhole monitoring dataset of the microseismic events induced by hydraulic fracturing. The
results show a better phase identification.
Subjects
Microseismic
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