/pyseistr

Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.

Primary LanguageCGNU General Public License v3.0GPL-3.0

Pyseistr

Description

Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data. The latest version has incorporated both Python and C (hundreds of times faster) implementations of the embedded functions. We keep both implementations for both educational and production purposes. This package has a variety of applications in both exploration and earthquake seismology.

Reference

Chen et al., 2023, Pyseistr: a python package for structural denoising and interpolation of multi-channel seismic data, Seismological Research Letters, 94(3), 1703-1714.

BibTeX:

@article{pyseistr,
  title={Pyseistr: a python package for structural denoising and interpolation of multi-channel seismic data},
  author={Yangkang Chen and Alexandros Savvaidis and Sergey Fomel and Yunfeng Chen and Omar M. Saad and Yapo Abol{\'e} Serge Innocent Obou{\'e} and Quan Zhang and Wei Chen},
  journal={Seismological Research Letters},
  volume={94},
  number={3},
  pages={1703–1714},
  year={2023}
}

Copyright

The pyseistr developing team, 2021-present

License

GNU General Public License, Version 3
(http://www.gnu.org/copyleft/gpl.html)

Install

Using the latest version

git clone https://github.com/aaspip/pyseistr
cd pyseistr
pip install -v -e .

or using Pypi

pip install pyseistr

or using pip directly from github

pip install git+https://github.com/aaspip/pyseistr

DEMO scripts

The "demo" directory contains all runable scripts to demonstrate different applications of pyseistr.

Gallery

The gallery figures of the pyseistr package can be found at https://github.com/aaspip/gallery/tree/main/pyseistr Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.

Dependence Packages

  • scipy
  • numpy
  • matplotlib

Modules

dip2d.py  	-> 2D local slope estimation (including both python and C implementations)
dip3d.py  	-> 3D local slope estimation (including both python and C implementations)
divne.py  	-> element-wise division constrained by shaping regularization (python implementation)
somean2d.py 	-> 2D structure-oriented mean filter  (including both python and C implementations)
somean3d.py 	-> 3D structure-oriented mean filter  (including both python and C implementations)
somf2d.py 	-> 2D structure-oriented median filter  (including both python and C implementations)
somf3d.py 	-> 3D structure-oriented median filter  (including both python and C implementations)
soint2d.py  	-> 2D structural interpolation  (including both python and C implementations)
soint3d.py  	-> 3D structural interpolation  (including both python and C implementations)
ricker.py	-> Ricker wavelet
bp.py		-> Butterworth bandpass filter (including both python and C implementations)
fk.py		-> FK dip filter
plot.py		-> seismic plotting functions

Development

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.

Contact

Regarding any questions, bugs, developments, collaborations, please contact  
Yangkang Chen
chenyk2016@gmail.com

Examples

Example 1 (2D structure-oriented mean/smoothing filter)

Generated by demos/test_pyseistr_somean2d.py

Slicing

Example 2 (3D structure-oriented mean/smoothing filter)

Generated by demos/test_pyseistr_somean3d.py

Slicing

Example 3 (2D structure-oriented median filter)

Generated by demos/test_pyseistr_somf2d.py

Slicing

Example 4 (3D structure-oriented median filter)

Generated by demos/test_pyseistr_somf3d.py

Slicing

Example 5 (3D structure-oriented interpolation)

Generated by demos/test_pyseistr_passive_recon3d.py

Slicing

Example 6 (SS precursor data enhancement)

Generated by demos/test_pyseistr_ssprecursor.py

Slicing

Example 7 (receiver function data enhancement)

Generated by demos/test_pyseistr_rf.py

Slicing

Example 8 (structure-oriented distributed acoustic sensing (DAS) data processing)

Generated by demos/test_pyseistr_das.py

Slicing

Below are new examples in addition to the results in the original paper

Below is an example for 2D structure-oriented interpolation of a multi-channel synthetic seismic data

Generated by demos/test_pyseistr_soint2d.py comp

Below is an example for 2D structure-oriented interpolation of a seafloor dataset

Generated by demos/test_pyseistr_soint2d_seafloor.py comp

Below is another example for 2D structure-oriented interpolation of sparse seismic data

Generated by demos/test_pyseistr_soint2d2.py comp

Below is an example for calculating relative geological time (RGT) from 2D seismic data

Generated by demos/test_pyseistr_rgt2d.py comp

Below is an example for 2D interpolation of sparse seismic data

Generated by demos/test_pyseistr_sint2d.py comp