Workflows#

Tutorials explain what to prepare, which decisions to make and how to inspect the result. For complete scripts and figures, use Examples by task. Install first using Installation; short API snippets below individual tutorials are building blocks, not substitutes for their full examples.

Start with the interaction#

Read Connecting geophysical data and hydrological models first: hydrological models predict geophysical observations; geophysical data constrain hydrological interpretation. Use the tutorials below to build the relevant direction of that connection.

Start with your data#

You have

Start here

Continue with

MODFLOW / ParFlow outputs

Hydrology to ERT or Hydrology to EM (TDEM and FDEM)

Compare methods from one hydrological profile in Ex. Hydrology to Multi-Geophysics Responses

A field ERT survey

Field ERT Data QC

Ex. Single ERT File Inversion (No Time-Lapse)

Repeated ERT surveys

Time-Lapse Monitoring

Inspect temporal changes and compare inversion strategies

ERT and seismic information

Seismic Structure Constraints

Joint ERT + SRT Inversion when both datasets should be inverted together

Recovered resistivity and petrophysical information

Ex. Monte Carlo Uncertainty Quantification for Hydrologic Properties Estimation

Estimate hydrological properties and assess parameter uncertainty

What connects these workflows#

  • Hydrology → petrophysics → measurements: carry water-content and porosity information into geophysical forward models.

  • Complementary methods: compare responses to the same subsurface, then use structural or joint constraints where justified.

  • Monitoring: recover change through time with temporal constraints.

  • Hydrological interpretation: examine how petrophysical uncertainty affects the quantities inferred from geophysical models.

Use Agent Workflows for AI-assisted operation or Desktop Studio (Qt) for the Qt interface. These are ways to operate the workflows, alongside Python scripts.

If you would rather start from the measurement than from the question, the method pages list what each one needs as input and which workflow it feeds.

Model–data interaction

Measurements and monitoring

Combining methods

AI-assisted operation