Detecting small amplitude signal and transit times in high noise: Application to hydraulic fracture monitoring

Abstract

A workflow is presented for the automatic detection and accurate time picking of weak events, such as microseismicity induced by hydraulic fracturing, in data collected by an array of multi-component acoustic sensors. These events are embedded in strong noise that could be spatially and temporally correlated. The proposed workflow comprises two steps. In… (More)
DOI: 10.1109/IGARSS.2009.5417430

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Cite this paper

@article{Liu2009DetectingSA, title={Detecting small amplitude signal and transit times in high noise: Application to hydraulic fracture monitoring}, author={Qiuhua Liu and Sandip Bose and Henri-Pierre Valero and Ram Shenoy and Abderrhamane Ounadjela}, journal={2009 IEEE International Geoscience and Remote Sensing Symposium}, year={2009}, volume={4}, pages={IV-530-IV-533} }