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Machine learning and earthquake forecasting—next steps

Machine learning and earthquake forecasting—next steps

by Webmaster | Geophysics News

By Gregory C. Beroza, Margarita Segou & S. Mostafa Mousavi A new generation of earthquake catalogs developed through supervised machine-learning illuminates earthquake activity with unprecedented detail. Application of unsupervised machine learning to analyze the...
The influence of grain shape and size on the relationship between porosity

The influence of grain shape and size on the relationship between porosity

by Webmaster | Geophysics News

By Ryan L. Payton, Domenico Chiarella & Andrew Kingdon An accurate and reliable description of the porosity–permeability relationship in geological materials is valuable in understanding subsurface fluid movement. This is important for reservoir characterisation,...
Instantaneous tracking of earthquake growth with elastogravity signals

Instantaneous tracking of earthquake growth with elastogravity signals

by Webmaster | Geophysics News

By Andrea Licciardi, Quentin Bletery, Bertrand Rouet-Leduc, Jean-Paul Ampuero & Kévin Juhel Rapid and reliable estimation of large earthquake magnitude (above 8) is key to mitigating the risks associated with strong shaking and tsunamis1. Standard early warning...
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