Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
The vision is to create a package for finite volume simulation with applications to geophysical imaging and subsurface flow. To enable the understanding of the many different components, this package has the following features:
- modular with respect to the spacial discretization, optimization routine, and geophysical problem
- built with the inverse problem in mind
- provides a framework for geophysical and hydrogeologic problems
- supports 1D, 2D and 3D problems
- designed for large-scale inversions
You are welcome to join our forum and engage with people who use and develop SimPEG at: http://simpeg.discourse.group/.
Weekly meetings are open to all. They are generally held on Tuesdays at 10:30am PDT. Please see the calendar (GCAL, ICAL) for information on the next meeting.
Working towards all the Geophysics, but Backwards - SciPy 2016
There is a paper about SimPEG!
Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
BibTex:
@article{cockett2015simpeg,
title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
journal={Computers \& Geosciences},
year={2015},
publisher={Elsevier}
}
If you are using the electromagnetics module of SimPEG, please cite:
Lindsey J. Heagy, Rowan Cockett, Seogi Kang, Gudni K. Rosenkjaer, Douglas W. Oldenburg, A framework for simulation and inversion in electromagnetics, Computers & Geosciences, Volume 107, 2017, Pages 1-19, ISSN 0098-3004, http://dx.doi.org/10.1016/j.cageo.2017.06.018.
BibTex:
@article{heagy2017,
title= "A framework for simulation and inversion in electromagnetics",
author= "Lindsey J. Heagy and Rowan Cockett and Seogi Kang and Gudni K. Rosenkjaer and Douglas W. Oldenburg",
journal= "Computers & Geosciences",
volume = "107",
pages = "1 - 19",
year = "2017",
note = "",
issn = "0098-3004",
doi = "http://dx.doi.org/10.1016/j.cageo.2017.06.018"
}
Website: http://simpeg.xyz
Slack (real time chat): http://slack.simpeg.xyz
Documentation: http://docs.simpeg.xyz
Code: https://github.com/simpeg/simpeg
Tests: https://travis-ci.org/simpeg/simpeg
Bugs & Issues: https://github.com/simpeg/simpeg/issues