Skip to main content

SimPEG: Simulation and Parameter Estimation in Geophysics

Project description

SimPEG Logo

SimPEG

Latest PyPI version MIT license Travis CI build status Coverage status codacy https://zenodo.org/badge/DOI/10.5281/zenodo.596373.svg https://img.shields.io/badge/Slack-simpeg-4A154B.svg?logo=slack https://img.shields.io/badge/Google%20group-simpeg-4385f4.svg?logo=google 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 forum and engage with people who use and develop SimPEG at: https://groups.google.com/forum/#!forum/simpeg.

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"
}

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

SimPEG-0.11.5.tar.gz (267.1 kB view details)

Uploaded Source

Built Distribution

SimPEG-0.11.5-py2.py3-none-any.whl (334.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file SimPEG-0.11.5.tar.gz.

File metadata

  • Download URL: SimPEG-0.11.5.tar.gz
  • Upload date:
  • Size: 267.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for SimPEG-0.11.5.tar.gz
Algorithm Hash digest
SHA256 7c0fe426eb66b8ee20620db6eef8cc7d4752033f7c064594bfdf986aa4069c97
MD5 cdf5433ba62069bdb802abdcc1b82361
BLAKE2b-256 a13c14897f9779e65549ab428f2a68b39459ec27ea52cff49af62bc3899ceca6

See more details on using hashes here.

File details

Details for the file SimPEG-0.11.5-py2.py3-none-any.whl.

File metadata

  • Download URL: SimPEG-0.11.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 334.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for SimPEG-0.11.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 608e58057a2f389c7e224f9137ea808a6a2c37676a27fd70b0a41ada00c9143e
MD5 41848564598415ef718aa9c22d2e9fa1
BLAKE2b-256 ba0cff110e2749c9697cd29825a0972d381b6acd07800b8d83ff9b8800c606ad

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