Find the earthquakes hidden in your seismic data¶
Qseek detects and locates earthquakes in large seismic data sets. It stacks machine learning phase annotations along modeled travel times and focuses an adaptive octree on the seismic sources, in continuous archives and in real time.
-
Data and AI driven
Machine learning pickers, trained on large seismic data sets, annotate the phase arrivals. Stacking them over the whole network makes the detection robust.
-
Automatic
From continuous waveforms to located earthquakes with phase picks, magnitudes and features, without manual picking.
-
Extremely fast
Built for large networks and years of data, with compiled stacking and phase annotation on the GPU.
-
Geological settings
Applied to tectonic swarms, volcano-tectonic unrest and induced seismicity at geothermal sites.
Features¶
-
Machine learning phase detection
PhaseNet, EQTransformer, OBSTransformer and LFEDetect through SeisBench, on CPU or GPU.
-
Adaptive octree
The search volume refines itself around the seismic sources, for fast searches and precise locations.
-
1D and 3D velocity models
Constant velocity, 1D layered models with fast marching or Pyrocko Cake, and 3D NonLinLoc models.
-
Station corrections
Station-specific and source-specific travel time corrections, extracted from previous runs.
-
Magnitudes
Local magnitudes (ML) with regional attenuation models and moment magnitudes (Mw) from modeled peak amplitudes.
-
Real-time monitoring
Stream waveforms from SeedLink servers and send detection alerts to Telegram.
-
Web UI
Explore detections, magnitudes and stations in the browser, also for runs on remote machines.
-
Open formats
Detections as JSON, CSV and Pyrocko markers, and export to HypoDD for double-difference relocation and to VELEST for velocity model inversion.
Cite Qseek
Please cite the Qseek paper when you use it in your work.
Isken, M., Niemz, P., Münchmeyer, J., Büyükakpınar, P., Heimann, S., Cesca, S., Vasyura-Bathke, H., & Dahm, T. (2025). Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization. Seismica, 4(1). doi:10.26443/seismica.v4i1.1283
@article{isken2025qseek,
title = {Qseek: A data-driven Framework for Automated Earthquake
Detection, Localization and Characterization},
author = {Isken, M. and Niemz, P. and M{\"u}nchmeyer, J. and
B{\"u}y{\"u}kakp{\i}nar, P. and Heimann, S. and Cesca, S. and
Vasyura-Bathke, H. and Dahm, T.},
journal = {Seismica},
year = {2025},
volume = {4},
number = {1},
doi = {10.26443/seismica.v4i1.1283}
}
Pyrocko