Rodríguez-Pradilla, G. and Eaton, D. W. (2020). Automated Microseismic Processing and Integrated Interpretation of Induced Seismicity during a Multistage Hydraulic‐Fracturing Stimulation, Alberta, Canada. Bulletin of the Seismological Society of America ; 110 (5): 2018–2030. doi: https://doi.org/10.1785/0120200082
Rodríguez-Pradilla, G. (2019). Microseismic Monitoring of a Duvernay Hydraulic-Fracturing Stimulation, Alberta Canada: Processing and Interpretation assisted by Finite-Difference Synthetic Seismograms. PhD Thesis, University of Calgary, Calgary, AB.
Total number of events detected: 10,691.
17 high Signal-to-noise events (ML > 1.5) were chosen as template events for match filtering method for the automatic detection and phase picking of seismic events. P- and S-wave phase picks determined by an STA/LTA method using the squared amplitude of the recorded waveforms (Akram and Eaton, 2016). P- and S- wave picks were "cleaned" by removing picks that fall outside one standard deviation of the best-fitting Gaussian distributions for the template event. Epicentre location calculated using the normal move-out equation. Focal depths obtained by finding the depth that minimizes the root-mean-square (RMS) of the travel-time residuals, based on a 1-D isotropic velocity model derived from nearby P- and S-wave sonic logs.
- Locations are given within a reference frame, rather than as absolute co-ordinates, with the reference being the minimum of the receiver locations.
The codes developed here for the determination of epicentre location and focal time of seismic events are provided within the folder "LinEpiLoc_ToC2ME_Demo". Please see the README.md within this folder for detailed usage, and an example script of how to implement this code.