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Towards fast DAS passive seismic monitoring combining Compressive Sensing with a deep learning decoder
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, EAGE GeoTech 2021 Second EAGE Workshop on Distributed Fibre Optic Sensing, Mar 2021, Volume 2021, p.1 - 4
Abstract
Summary
This work presents progress on the development of a compression protocol for passive seismic data that combines compressive sensing and deep learning. The objective of the protocol is to facilitate fast estimations of event location and moment tensor operating over the seismic data in compressed form, thereby permitting fast data transmission and removing the decompression overhead. The compression acts over the recording channel dimension, which makes it especially relevant for dense data acquisitions such as in distributed acoustic sensing.
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