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EQTransformer is a multi-task very deep neural network with an attention mechanism that is designed for earthquake signal detection and phase (P&S) picking. It has a hierarchical architecture specifically designed for earthquake signals and has been trained on local earthquake waveforms collected in diverse settings and from seismic networks around the world.  In addition to the prediction probabilities, provides estimated model uncertainties.

You can download the EQTransformer software here.

There github page includes the EQTransformer python 3 package, which features modules for downloading continuous seismic data, preprocessing, performing earthquake signal detection, and phase (P & S) picking using pre-trained models, building and testing new models, and performing simple phase association.

Fault Slip Potential (FSP)

Fault Slip Potential is a free tool for probabilistically screening faults near injection wells from the Stanford Center for Induced and Triggered Seismicity, developed through industry-academic collaboration.

To download the latest version of the software, you will need to sign up for our mailing list so you can be notified about updates, new releases, bug-fixes and tutorial webinars. 

Sign up for Software Mailing List

Once you sign up (you will need to confirm subscription), the "Welcome" email will have the link to download the software and accompanying information. The documentation contains important information to help you get started.  After downloading the documentation: Watch a video with an introduction to fault slip analysis and a demonstration of the Fault Slip Potential (FSP) tool. This might be especially useful for new or prospective FSP users.

The previous version (FSP 1.0) is also available here.  

While we can't gurantee technical support (remember this is a free research product), you can send your queries or suggestions to