SeisFlows is an open-source, Python-based waveform inversion package that tackles the problems of full waveform inversion, seismic migration, and adjoint tomography.
With a user base in both academia and industry, this package has been used for production scale inversions, some with over a billion model parameters, for research problems related to oil and gas exploration, earthquake seismology and general nonlinear optimization problems.
-
SeisFlows is under current active development, and is bundled with other inversion software under the adjTomo organization.
-
Documentation, including install instructions, example problems and API, can be found on Read the Docs.
-
If you find any issues, have questions, or would like to join the community, please feel free to open up a GitHub Issue or start a discussion.
If you use this package in your own research, please cite the following papers:
-
Bryant Chow, Yoshihiro Kaneko, Carl Tape, Ryan Modrak, John Townend, An automated workflow for adjoint tomography —waveform misfits and synthetic inversions for the North Island, New Zealand, Geophysical Journal International, Volume 223, Issue 3, December 2020, Pages 1461–1480, https://doi.org/10.1093/gji/ggaa381
-
Ryan Modrak, Dmitry Borisov, Matthieu Lefebvre, Jeroen Tromp; SeisFlows—Flexible waveform inversion software, Computers & Geosciences, Volume 115, June 2018, Pages 88-95, https://doi.org/10.1016/j.cageo.2018.02.004
The following paper can also be cited relative to this software:
- Ryan Modrak, Jeroen Tromp; Seismic waveform inversion best practices: regional, global and exploration test cases, Geophysical Journal International, Volume 206, Issue 3, 1 September 2016, Pages 1864–1889, https://doi.org/10.1093/gji/ggw202