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Software

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EQTransformer

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 train

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.

Fingerprinting And Similarity Thresholding (FAST)

Fingerprinting And Similarity Thresholding (FAST) is a free tool for detecting earthquake waveforms in continuous seismic data using fast, approximate, similarity search.

Graph Earthquake Neural Interpretation Engine (GENIE)

The Graph Earthquake Neural Interpretation Engine (GENIE) seismic phase association connects earthquake arrival time measurements to their causative sources. The associator estimates the number of discrete events, their location and origin times, and differentiates real arrivals from false picks. The method is applicable to arbitrary geometry, time-varying seismic networks of hundreds of stations, and is robust to high rates of sources and input picks with variable noise and quality.

PhaseNet

PhaseNet is a convolutional neural network developed under tensorflow and trained to pick the arrival times of P and S waves from waveform data.

*The Stanford Center for Induced and Triggered Seismicity (SCITS) will use and develop open-source software, and it is the intention of SCITS that any software will be released under an open-source model.*