Ontology highlight
ABSTRACT:
SUBMITTER: Holtzman BK
PROVIDER: S-EPMC5966224 | biostudies-literature | 2018 May
REPOSITORIES: biostudies-literature
Holtzman Benjamin K BK Paté Arthur A Paisley John J Waldhauser Felix F Repetto Douglas D
Science advances 20180523 5
The earthquake rupture process comprises complex interactions of stress, fracture, and frictional properties. New machine learning methods demonstrate great potential to reveal patterns in time-dependent spectral properties of seismic signals and enable identification of changes in faulting processes. Clustering of 46,000 earthquakes of 0.3 < <i>M</i><sub>L</sub> < 1.5 from the Geysers geothermal field (CA) yields groupings that have no reservoir-scale spatial patterns but clear temporal pattern ...[more]