Recent advances and challenges of waveform‐based seismic location methods at multiple scales

L Li, J Tan, B Schwarz, F Staněk, N Poiata… - Reviews of …, 2020 - Wiley Online Library
Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …

[HTML][HTML] Moving towards deep underground mineral resources: Drivers, challenges and potential solutions

Y Ghorbani, GT Nwaila, SE Zhang, JE Bourdeau… - Resources Policy, 2023 - Elsevier
Underground mining has historically occurred in surface and near-surface (shallow) mineral
deposits. While no universal definition of deep underground mining exists, humanity's need …

MALMI: An automated earthquake detection and location workflow based on machine learning and waveform migration

P Shi, F Grigoli, F Lanza, GC Beroza… - Seismological …, 2022 - pubs.geoscienceworld.org
Robust automatic event detection and location is central to real‐time earthquake monitoring.
With the increase of computing power and data availability, automated workflows that utilize …

Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory

P Shi, D Angus, S Rost, A Nowacki… - Geophysical Journal …, 2019 - academic.oup.com
With the proliferation of dense seismic networks sampling the full seismic wavefield,
recorded seismic data volumes are getting bigger and automated analysis tools to locate …

An effective polarity correction method for microseismic migration-based location

J Xu, W Zhang, X Chen, Q Guo - Geophysics, 2020 - library.seg.org
Microseismic methods are important tools for monitoring the status and consequences of
hydraulic fracturing. Because microseismic data recorded at the surface have a low signal-to …

Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array

E Parastatidis, S Pytharouli, L Stankovic… - Geophysical Journal …, 2024 - academic.oup.com
Microseismic monitoring has been used in geo-energy related activities, such as shale-gas
exploitation, mining, deep geothermal exploitation, geotechnical and structural engineering …

Comparing the performance of stacking-based methods for microearthquake location: A case study from the Burträsk fault, northern Sweden

RA Beckel, B Lund, GA Eggertsson… - Geophysical Journal …, 2022 - academic.oup.com
Traditional earthquake location relying on first arrival picking is challenging for microseismic
events with low signal-to-noise ratio. Over the past years, alternative procedures have been …

From labquakes to megathrusts: Scaling deep learning based pickers over 15 orders of magnitude

P Shi, MA Meier, L Villiger, K Tuinstra… - Journal of …, 2024 - Wiley Online Library
The application of machine learning techniques in seismology has greatly advanced
seismological analysis, especially for earthquake detection and seismic phase picking …

Detection and Localization of Projectile Impact Point Based on Remote Sensing Imagery

H Li, G Ma, J Wu, H Zhang, B Wang… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
In order to improve the accuracy of localization of projectile impact point, detection and
localization methods of projectile impact point based on remote sensing imagery are studied …

Application of waveform stacking methods for seismic location at multiple scales

L Li, Y Xie, J Tan - Energies, 2020 - mdpi.com
Seismic source location specifies the spatial and temporal coordinates of seismic sources
and lays the foundation for advanced seismic monitoring at all scales. In this work, we firstly …