Hydraulic fracturing‐induced seismicity

R Schultz, RJ Skoumal, MR Brudzinski… - Reviews of …, 2020 - Wiley Online Library
Hydraulic fracturing (HF) is a technique that is used for extracting petroleum resources from
impermeable host rocks. In this process, fluid injected under high pressure causes fractures …

Develo**, 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 …

The magmatic web beneath Hawai 'i

JD Wilding, W Zhu, ZE Ross, JM Jackson - Science, 2023 - science.org
The deep magmatic architecture of the Hawaiian volcanic system is central to understanding
the transport of magma from the upper mantle to the individual volcanoes. We leverage …

Earthquake phase association using a Bayesian Gaussian mixture model

W Zhu, IW McBrearty, SM Mousavi… - Journal of …, 2022 - Wiley Online Library
Earthquake phase association algorithms aggregate picked seismic phases from a network
of seismometers into individual sesimic events and play an important role in earthquake …

LOC‐FLOW: An end‐to‐end machine learning‐based high‐precision earthquake location workflow

M Zhang, M Liu, T Feng… - … Society of America, 2022 - pubs.geoscienceworld.org
The ever‐increasing networks and quantity of seismic data drive the need for seamless and
automatic workflows for rapid and accurate earthquake detection and location. In recent …

QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing

W Zhu, AB Hou, R Yang, A Datta… - Geophysical Journal …, 2023 - academic.oup.com
Earthquake monitoring workflows are designed to detect earthquake signals and to
determine source characteristics from continuous waveform data. Recent developments in …

High resolution earthquake catalog building for the 21 May 2021 Yangbi, Yunnan, MS6.4 earthquake sequence using deep-learning phase picker

SU **Bo, LIU Min, Z YunPeng, W WeiTao… - Chinese Journal of …, 2021 - dzkx.org
Abstract On 21 May 2021, a magnitude (MS) 6.4 earthquake with significant foreshocks
struck Yangbi, Yunnan. We utilized a deep-learning algorithm-PhaseNet, an earthquake …

An end‐to‐end earthquake detection method for joint phase picking and association using deep learning

W Zhu, KS Tai, SM Mousavi, P Bailis… - Journal of Geophysical …, 2022 - Wiley Online Library
Earthquake monitoring by seismic networks typically involves a workflow consisting of phase
detection/picking, association, and location tasks. In recent years, the accuracy of these …

Dynamics, interactions and delays of the 2019 Ridgecrest rupture sequence

T Taufiqurrahman, AA Gabriel, D Li, T Ulrich, B Li… - Nature, 2023 - nature.com
The observational difficulties and the complexity of earthquake physics have rendered
seismic hazard assessment largely empirical. Despite increasingly high-quality geodetic …

SeismoGen: Seismic waveform synthesis using GAN with application to seismic data augmentation

T Wang, D Trugman, Y Lin - Journal of Geophysical Research …, 2021 - Wiley Online Library
Detecting earthquake arrivals within seismic time series can be a challenging task. Visual,
human detection has long been considered the gold standard but requires intensive manual …