Big data in Earth science: Emerging practice and promise

TC Vance, T Huang, KA Butler - Science, 2024 - science.org
Improvements in the number and resolution of Earth-and satellite-based sensors coupled
with finer-resolution models have resulted in an explosion in the volume of Earth science …

Applications of deep neural networks in exploration seismology: A technical survey

SM Mousavi, GC Beroza, T Mukerji, M Rasht-Behesht - Geophysics, 2024 - library.seg.org
Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …

When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system

H Zhang, JJ Xu, HW Cui, L Li, Y Yang… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …

Machine learning for seismic exploration: Where are we and how far are we from the holy grail?

F Khosro Anjom, F Vaccarino, LV Socco - Geophysics, 2024 - library.seg.org
Machine-learning (ML) applications in seismic exploration are growing faster than
applications in other industry fields, mainly due to the large amount of acquired data for the …

A detailed view of the 2020–2023 southwestern Puerto Rico seismic sequence with deep learning

CE Yoon, ES Cochran… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …

On the use of high‐resolution and deep‐learning seismic catalogs for short‐term earthquake forecasts: Potential benefits and current limitations

S Mancini, M Segou, MJ Werner… - Journal of …, 2022 - Wiley Online Library
Enhanced earthquake catalogs provide detailed images of evolving seismic sequences.
Currently, these data sets take some time to be released but will soon become available in …

Better together: Ensemble learning for earthquake detection and phase picking

C Yuan, Y Ni, Y Lin, M Denolle - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection and picking of seismic waves are the first step toward earthquake catalog
building, earthquake monitoring, and seismic hazard management. Recent advances in …

Using deep learning for rapid earthquake parameter estimation in single-station single-component earthquake early warning system

MS Abdalzaher, MS Soliman… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Earthquake early warning systems (EEWSs) often rely on fast determination of earthquake
source parameters, namely, location, magnitude, and depth. In areas where the seismic …

A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence

L Chiaraluce, M Michele, F Waldhauser, YJ Tan… - Scientific Data, 2022 - nature.com
The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple
damaging earthquakes spaced over months, presented serious challenges for the duty …

[HTML][HTML] Microseismic Monitoring Signal Waveform Recognition and Classification: Review of Contemporary Techniques

H Shu, AY Dawod - Applied Sciences, 2023 - mdpi.com
Microseismic event identification is of great significance for enhancing our understanding of
underground phenomena and ensuring geological safety. This paper employs a literature …