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Site Navigation

  • Home
  • Documentation
  • API Reference
  • Installation
  • Tutorials
  • Examples

Section Navigation

  • Mesh generation
    • Meshing the Omega aka. BERT logo
    • CAD to mesh tutorial
    • Extrude a 2D mesh to 3D
    • Flexible mesh generation using Gmsh
    • Building a hybrid mesh in 2D
  • Seismic refraction and traveltime tomography
    • 2D Refraction modeling and inversion
    • Crosshole traveltime tomography
    • Raypaths in layered and gradient models
    • Field data inversion (“Koenigsee”)
    • Refraction in 3D
  • Electrical resistivity tomography
    • 2D ERT modeling and inversion
    • ERT field data with topography
    • 2D FEM modelling on two-layer example
    • Geoelectrics in 2.5D
    • Four-point sensitivities
    • 3D modeling in a closed geometry
  • Induced polarization
    • Generating SIP signatures
    • Fitting SIP signatures
    • Complex-valued electrical modeling
    • Naive complex-valued electrical inversion
  • Gravimetry and magnetics
    • Gravimetry in 2D - Part I
    • Semianalytical Gravimetry and Geomagnetics in 2D
    • 3D magnetics modelling and inversion
  • Miscellaneous
    • 3D Darcy flow
    • Hydrogeophysical modeling
  • Inversion
    • DC-EM Joint inversion
    • Petrophysical joint inversion
    • Incorporating prior data into ERT inversion

Induced polarization#

Generating SIP signatures

Generating SIP signatures

Generating SIP signatures
Fitting SIP signatures

Fitting SIP signatures

Fitting SIP signatures
Complex-valued electrical modeling

Complex-valued electrical modeling

Complex-valued electrical modeling
Naive complex-valued electrical inversion

Naive complex-valued electrical inversion

Naive complex-valued electrical inversion

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3D modeling in a closed geometry

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Generating SIP signatures
2022 - pyGIMLi Development Team
Created using Sphinx with the PyData theme and pyGIMLi 1.3.1+2.g7599abf9 on Dec 09, 2022.