pyrfloc is a python package of RFloc3D method for passive seismic location using machine learning (Random Forest).
Chen, Y., Saad, O. M., Savvaidis, A., Chen, Y., & Fomel, S. (2022). 3D Microseismic Monitoring Using Machine Learning. Journal of Geophysical Research: Solid Earth, 127(3), e2021JB023842.
Chen, Y., A. Savvaidis, Fomel, S., Saad, O.M. and Y.F. Chen, (2023). RFloc3D: A Machine- Learning Method for 3-D Microseismic Source Location Using P-and S-Wave Arrivals: IEEE Transactions on Geoscience and Remote Sensing, 61, 5901310.
BibTeX:
@article{rfloc3d,
title={3{D} microseismic monitoring using machine learning},
author={Yangkang Chen and Omar M. Saad and Alexandros Savvaidis and Yunfeng Chen and Sergey Fomel},
journal={Journal of Geophysical Research - Solid Earth},
volume={127},
number={3},
issue={3},
pages={e2021JB023842},
year={2022}
}
@Article{rfloc3dps,
author={Yangkang Chen and Alexandros Savvaidis and Sergey Fomel and Omar M. Saad and Yunfeng Chen},
title = {RFloc3{D}: a machine learning method for 3{D} microseismic source location using P- and S-wave arrivals},
journal={IEEE Transactions on Geoscience and Remote Sensing},
year=2023,
volume=61,
issue=1,
number=1,
pages={5901310},
doi={10.1109/TGRS.2023.3236572},
}
The pyrfloc developing team, 2021-present
GNU General Public License, Version 3
(http://www.gnu.org/copyleft/gpl.html)
Using the latest version
git clone https://github.com/chenyk1990/pyrfloc
cd pyrfloc
pip install -v -e .
or using Pypi
pip install pyrfloc
The "demo" directory contains all runable scripts to demonstrate different applications of pyrfloc.
- scipy
- numpy
- matplotlib
The development team welcomes voluntary contributions from any open-source enthusiast.
If you want to make contribution to this project, feel free to contact the development team.
Regarding any questions, bugs, developments, collaborations, please contact
Yangkang Chen
chenyk2016@gmail.com
The gallery figures of the pyrfloc package can be found at https://github.com/chenyk1990/gallery/tree/main/pyrfloc Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.
The following figure shows the location result of the Texas M4.9 Mentone earthquake (texnet2020galz). Catalog location: catalog (Red): -104.05 31.7 7.1; RFloc3D result (Green): -104.02423355 31.68684031 7.83275
