pyGIMLi is an open-source multi-method library for modelling and inversion in geophysics.

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Showcase pyGIMLi-based research papers

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Complex EM modelling using Open-Source custEM

Rochlitz et al. (2018), Geophysics

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Aquifer monitoring with long electrodes

Ronczka et al. (2015), Journal of Applied Geophysics

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Ice estimation in alpine permafrost via joint inversion

Mollaret et al. (2020), Front. Earth Sci.

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Laterally-constrained inversion of airborne MRS

Costabel et al. (2016), Geophysics

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Open-source 3D surface nuclear-magnetic resonance

Skibbe et al. (2020), Geophysics

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Structural joint inversion on irregular meshes

Jordi et al. (2020), Geophysical Journal International

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Improved imaging using parameter and structure constraints

Wunderlich et al. (2018), Geophysics

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Long-electrode ERT modelling study

Ronczka et al. (2015), Geophysics

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Monitoring seawater intrusion dynamics with crosshole ERT

Palacios et al. (2020), Hydrol. Earth Syst. Sci.

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Probabilistic inference of subsurface heterogeneity and interface geometry

de Pasquale et al. (2019), Geophysical Journal International

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Block Joint VES and MRS inversion

Günther & Müller-Petke (2012), Hydrol. Earth Syst. Sci.

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Coupling electrical and magnetic resonance soundings

Skibbe et al. (2018), Geophysics

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3D ERT monitoring of infiltration processes

Hübner et al. (2017), Hydrol. Earth Syst. Sci.

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Improved geophysical images through geostatistical regularization

Jordi et al. (2018), Geophysical Journal International

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Structural contraints on ERT derived from reflection seismics

Bergmann et al. (2014), Geophysics

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Spectral induced polarization constraints

Günther & Martin (2016), Journal of Applied Geophysics

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DC/IP imaging of trees

Martin & Günther (2013), European Journal of Forest Research

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Imaging electrified plant roots

Peruzzo et al. (2020), Plant and Soil

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Crosshole GPR with deep neural networks

Laloy et al. (2020)

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Optimized survey design for storage reservoir monitoring

Wagner et al. (2015), Geophysics

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Coupling underwater electrial resistivity and seismic refraction tomography

Ronczka et al. (2017), Solid Earth

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Cole-Cole and Debye fitting of SIP/DP spectroscopy

Loewer et al. (2017), Geophysical Journal International

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Petrophysical joint inversion for water, ice, and air

Wagner et al. (2019), Geophysical Journal International

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Structurally coupled inversion of electrical resistivity and seismic refraction data

Hellman et al. (2017), Journal of Applied Geophysics

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Get pyGIMLi. Available for different platforms.

pyGIMLi has been successfully compiled on Windows, various Linux distributions and Mac OS X. See the installation section for more details on how to install or build pyGIMLi.

Get started. Check out the tutorials.

To get started, have a look at the pyGIMLi tutorials. Applications and user stories can be found in the Example section. You can test all tutorials and examples as Jupyter Notebooks without installation at try.pygimli.org!

Get involved. We want your help.

You found a bug or desperately miss a certain functionality? Fill out a bug report or a feature request. If you have used pyGIMLi for an interesting application, consider sending us your example. Please cite the pyGIMLi paper or derived ones when using it for scientific purposes.