
Member Since 1983
Greg C. Beroza
Professor, Stanford University
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Analysis of Physical Mechanisms Contributing to the Spatial Evolution of Induced Earthquake Sequences in Southern Kansas
ADVANCES IN UNDERSTANDING TRIGGERING MECHANISMS OF INDUCED SEISMICITY II POSTER
seismology | 13 december 2024
Rosamiel Ries, Gregory C. Beroza, William L. Ellsw...
We use the Park et al. (2022) earthquake catalog to explore the possible mechanisms driving sequences of injection induced earthquakes in southern Kan...
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How Fast, How Deep, and How Much? — Seismic Sensing of Groundwater Recharge from the 2023 Atmospheric-River Storms
ENVIRONMENTAL SEISMOLOGY: A GEOPHYSICAL TOOL TO STUDY SURFACE AND NEAR-SURFACE PROCESSES IV POSTER
seismology | 10 december 2024
Shujuan Mao, William L. Ellsworth, Yujie Zheng, Gr...
In early 2023, California was struck by intense storms from a series of atmospheric rivers, inflicting extensive damage and hardship on Californians. ...
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Adaptive Coda‐Wave Imaging With Voronoi Tessellation
AMBIENT-FIELD SEISMOLOGY: ADVANCES IN THEORY, METHODOLOGY, AND APPLICATIONS II POSTER
seismology | 10 december 2024
Shujuan Mao, William L. Ellsworth, Gregory C. Bero...
Reconstructions of Green's functions by ambient noise interferometry enable the imaging of the Earth's subsurface. Coda waves from reconstructed Green...
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Microseismic analysis enhanced by deep learning: A case study from The Geysers geothermal field, California
LEVERAGING DEEP LEARNING TO ADVANCE INDUCED SEISMICITY MONITORING II ELIGHTNING
seismology | 10 december 2024
Lei Li, Ian W. McBrearty, Xing Tan, Gregory C. Ber...
Induced seismicity monitoring with local and dense arrays has shown great potential for fine-scale fracture/fault characterization, constraining mecha...
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Transformer-based joint-station seismological analysis applied to focal-mechanism determination.
ARTIFICIAL INTELLIGENCE IN SOLID EARTH GEOSCIENCE: INNOVATIVE METHODS, DISCOVERIES, AND INSIGHTS I ORAL
seismology | 09 december 2024
Xiaohan Song, Men-Andrin Meier, William L. Ellswor...
Deep learning models have been widely applied in seismological signal processing, including phase picking, signal denoising, polarity determination, a...
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Accuracy and Precision of Earthquake Location Programs: Insights from a Synthetic Controlled Experiment based on 2019 Ridgecrest Earthquake Sequence
EARTHQUAKE MONITORING AND BEYOND I ORAL
seismology | 09 december 2024
Yifan Yu, William L. Ellsworth, Gregory C. Beroza
Earthquake location programs employ diverse algorithms to address the barriers posed by our incomplete understanding and representation of complex ear...
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Machine‐Learning‐Based Earthquake Catalog at the Campi Flegrei Caldera (Southern Italy)
EARTHQUAKE MONITORING AND BEYOND II POSTER
seismology | 09 december 2024
Xing Tan, Anna Tramelli, Sergio Gammaldi, Gregory ...
Campi Flegrei is the most populated caldera in the world and is currently in an unrest phase since 2006. This unrest is characterized by a slow uplift...
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Seismic Phase Picking on Sparse Networks
ADVANCES IN AUTOMATED NETWORK PROCESSING TO IMPROVE SEISMIC EVENT MONITORING I ORAL
seismology | 09 december 2024
Albert Aguilar, Gregory C. Beroza, Patricia Pedraz...
We implemented a hybrid graph convolutional neural network to perform network based seismic phase picking at local and short regional scales. We train...
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