Joint denoising and classification network: application to microseismic event detection in hydraulic fracturing distributed acoustic sensing monitoring
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DOI: 10.1190/geo2022-0296.1
Abstract: Deep learning has been applied to microseismic event detection over the past few years. However, it is still challenging to detect microseismic events from records with low signal-to-noise ratios (SNRs). To achieve high accuracy of… read more here.
Keywords: event detection; denoising classification; jointnet;