Skip to main content

Mira Geoscience fork of SimPEG: Simulation and Parameter Estimation in Geophysics

Project description

SimPEG Logo

SimPEG

Latest PyPI version Latest conda-forge version MIT license Azure pipeline Coverage status https://zenodo.org/badge/DOI/10.5281/zenodo.596373.svg https://img.shields.io/discourse/users?server=http%3A%2F%2Fsimpeg.discourse.group%2F https://img.shields.io/badge/Slack-simpeg-4A154B.svg?logo=slack https://img.shields.io/badge/Youtube%20channel-GeoSci.xyz-FF0000.svg?logo=youtube

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 Wednesdays at 10:30am PDT. Please see the calendar (GCAL, ICAL) for information on the next meeting.

Overview Video

All of the Geophysics But Backwards

Working towards all the Geophysics, but Backwards - SciPy 2016

Citing SimPEG

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}
}

Electromagnetics

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"
}

Questions

If you have a question regarding a specific use of SimPEG, the fastest way to get a response is by posting on our Discourse discussion forum: https://simpeg.discourse.group/. Alternatively, if you prefer real-time chat, you can join our slack group at http://slack.simpeg.xyz. Please do not create an issue to ask a question.

Meetings

SimPEG hosts weekly meetings for users to interact with each other, for developers to discuss upcoming changes to the code base, and for discussing topics related to geophysics in general. Currently our meetings are held every Wednesday, alternating between a mornings (10:30 am pacific time) and afternoons (3:00 pm pacific time) on even numbered Wednesdays. Find more info on our slack.

Contributing

We always welcome contributions towards SimPEG whether they are adding new code, suggesting improvements to existing codes, identifying bugs, providing examples, or anything that will improve SimPEG. Please checkout the contributing guide for more information on how to contribute.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mira_simpeg-0.19.0.dev8.tar.gz (415.0 kB view details)

Uploaded Source

Built Distribution

mira_simpeg-0.19.0.dev8-py2.py3-none-any.whl (492.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file mira_simpeg-0.19.0.dev8.tar.gz.

File metadata

  • Download URL: mira_simpeg-0.19.0.dev8.tar.gz
  • Upload date:
  • Size: 415.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for mira_simpeg-0.19.0.dev8.tar.gz
Algorithm Hash digest
SHA256 a0e9d516d8468c0d979210161024bb6926e863ff19db95f1fd15df329c3becf9
MD5 07735e025ea117d3bcec03d7006954bc
BLAKE2b-256 cbe37ddecfbf8f726d9c8478030aede517e1354bfe12f435927fc3f4a84b8fe9

See more details on using hashes here.

File details

Details for the file mira_simpeg-0.19.0.dev8-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for mira_simpeg-0.19.0.dev8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 11194fc7ff7a075999fa120d41ba948ff71b24bbb640ae860005c6a89140883b
MD5 17ae281fe303bb4b0be66bcc8a96c921
BLAKE2b-256 c1125307f42b37d8709cec2beef795599b3a81585df2de871e615caf7e51d2f4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page