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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 …
Automatic 3D illumination-diagnosis method for large-N arrays: Robust data scanner and machine-learning feature provider
The main issues related to passive-source reflection imaging with seismic interferometry (SI)
are inadequate acquisition parameters for sufficient spatial wavefield sampling and …
are inadequate acquisition parameters for sufficient spatial wavefield sampling and …
Three-dimensional distributed acoustic sensing at the Sanford Underground Research Facility
Distributed acoustic sensing (DAS) is a valuable tool for monitoring seismic signals as it
provides high spatial and temporal resolution strain sensing along the length of a fiber-optic …
provides high spatial and temporal resolution strain sensing along the length of a fiber-optic …
[HTML][HTML] Systematic identification of external influences in multi-year microseismic recordings using convolutional neural networks
Passive monitoring of ground motion can be used for geophysical process analysis and
natural hazard assessment. Detecting events in microseismic signals can provide …
natural hazard assessment. Detecting events in microseismic signals can provide …
Exploration of data space through trans‐dimensional sampling: A case study of 4D seismics
We present a novel methodology for exploring 4D seismic data in the context of monitoring
subsurface resources. Data‐space exploration is a key activity in scientific research, but it …
subsurface resources. Data‐space exploration is a key activity in scientific research, but it …
Understanding seismic body waves retrieved from noise correlations: Toward a passive deep Earth imaging
L Li - 2018 - theses.hal.science
This work aims toward an improved understanding of the seismic signals derived from the
inter-receiver correlation functions of seismic noise, which is valuable and critical for a …
inter-receiver correlation functions of seismic noise, which is valuable and critical for a …
Preface to the focus section on nonexplosive source monitoring and imaging
Seismic waves generated by a natural or an artificial source provide a direct means to probe
the Earth's interior, and seismic tomography and migration are techniques developed for …
the Earth's interior, and seismic tomography and migration are techniques developed for …
КЛАССИФИКАЦИОННЫЕ ВОЗМОЖНОСТИ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ ПРИ ИДЕНТИФИКАЦИИ СЕЙСМИЧЕСКИХ СОБЫТИЙ …
АП Турова, НЮ Афонин - Глобальные проблемы Арктики и …, 2020 - elibrary.ru
Решение задач сейсмического мониторинга связано с необходимостью анализа
больших объемов данных, что требует значительных трудозатрат. Кроме того, при …
больших объемов данных, что требует значительных трудозатрат. Кроме того, при …
[فهرست منابع][C] Improving airgun signal detection with small-aperture seismic array in Yunnan
W WANG, Q ZHOU, H KOU, G LIU, H ZHU, K YAN - Earthquake Research in China, 2019