Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures-Reference-Cited by-同舟云学术

Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures

Published:2022-03 Issue: Volume:151 Page:105046
ISSN:1365-1609
Container-title:International Journal of Rock Mechanics and Mining Sciences
language:en
Short-container-title:International Journal of Rock Mechanics and Mining Sciences

Author:

Chakravarty Aditya^ORCID,Misra Siddharth^ORCID

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

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5. Microseismic monitoring of stimulating shale gas reservoir in SW China: 2. Spatial clustering controlled by the preexisting faults and fractures;Chen;J Geophys Res Solid Earth,2018

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