Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
Abstract Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake
monitoring and subsurface imaging. However, its distinct characteristics, such as unknown …
monitoring and subsurface imaging. However, its distinct characteristics, such as unknown …
MALMI: An automated earthquake detection and location workflow based on machine learning and waveform migration
Robust automatic event detection and location is central to real‐time earthquake monitoring.
With the increase of computing power and data availability, automated workflows that utilize …
With the increase of computing power and data availability, automated workflows that utilize …
Recent scientific advances in the understanding of induced seismicity from hydraulic fracturing of shales
B Baptie, M Segou, E Hough, JAI Hennissen - 2022 - nora.nerc.ac.uk
The Secretary of State for Business, Energy & lndustrial Strategy has commissioned the
British Geological Survey to write a short report about seismic activity associated with …
British Geological Survey to write a short report about seismic activity associated with …
[图书][B] Machine learning for fast and accurate assessment of earthquake source parameters
J Münchmeyer - 2022 - search.proquest.com
Earthquakes are among the largest and most destructive natural hazards known to
humankind. While records of earthquakes date back millennia, and systematic studies of …
humankind. While records of earthquakes date back millennia, and systematic studies of …