[HTML][HTML] Machine learning in microseismic monitoring
The confluence of our ability to handle big data, significant increases in instrumentation
density and quality, and rapid advances in machine learning (ML) algorithms have placed …
density and quality, and rapid advances in machine learning (ML) algorithms have placed …
Developing, testing, and communicating earthquake forecasts: Current practices and future directions
L Mizrahi, I Dallo, NJ van der Elst… - Reviews of …, 2024 - Wiley Online Library
While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Predicting failure in solids has broad applications including earthquake prediction which
remains an unattainable goal. However, recent machine learning work shows that laboratory …
remains an unattainable goal. However, recent machine learning work shows that laboratory …
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Earthquake forecasting and prediction have long and in some cases sordid histories but
recent work has rekindled interest based on advances in early warning, hazard assessment …
recent work has rekindled interest based on advances in early warning, hazard assessment …
Deep learning can predict laboratory quakes from active source seismic data
P Shokouhi, V Girkar, J Rivière… - Geophysical …, 2021 - Wiley Online Library
Small changes in seismic wave properties foretell frictional failure in laboratory experiments
and in some cases on seismic faults. Such precursors include systematic changes in wave …
and in some cases on seismic faults. Such precursors include systematic changes in wave …
A new multi-function servo control dynamic shear apparatus for geomechanics
In this paper, we report a new multi-function servo control dynamic shear test apparatus, DJZ-
500. This apparatus consists of five parts, including power system, loading frame, servo …
500. This apparatus consists of five parts, including power system, loading frame, servo …
Machine learning predicts the timing and shear stress evolution of lab earthquakes using active seismic monitoring of fault zone processes
Abstract Machine learning (ML) techniques have become increasingly important in
seismology and earthquake science. Lab‐based studies have used acoustic emission data …
seismology and earthquake science. Lab‐based studies have used acoustic emission data …
Machine learning bridges microslips and slip avalanches of sheared granular gouges
Understanding the origin of stress drop of fault gouges may offer deeper insights into many
geophysical processes such as earthquakes. Microslips of sheared granular gouges were …
geophysical processes such as earthquakes. Microslips of sheared granular gouges were …
Foreshock properties illuminate nucleation processes of slow and fast laboratory earthquakes
Understanding the connection between seismic activity and the earthquake nucleation
process is a fundamental goal in earthquake seismology with important implications for …
process is a fundamental goal in earthquake seismology with important implications for …
Frequency‐magnitude statistics of laboratory foreshocks vary with shear velocity, fault slip rate, and shear stress
Understanding the temporal evolution of foreshocks and their relation to earthquake
nucleation is important for earthquake early warning systems, earthquake hazard …
nucleation is important for earthquake early warning systems, earthquake hazard …