Getting Started

ResIPy aims to process geoeletrical data (DC and IP). It provides a python application programming interface (API) and a standalone graphical user interface (GUI). Resipy provides high-level filtering, error modelling, inversion/forward modelling and post-processing tools.

Fig. 1 Animation of the workflow of creating synthetic data from forward modelling and then inverting them in the GUI.

The same processing can be achieved with the python API:

from resipy import Project
k = Project(typ='R2')
k.createSurvey('examples/dc-2d/syscal.csv')
k.invert() # invert measurements
k.showResults() # display inverted pseudo-section

More examples are available in the Gallery of examples.

Installation

The easiest way is to download one of our standalone executable from gitlab (https://gitlab.com/hkex/resipy).

Clone the gitlab repository and run from source:

git clone https://gitlab.com/hkex/resipy
cd resipy/src
python ui.py

Alternatively you can install the API part of the module (so no GUI) from pypi using pip:

pip install resipy

Note

Mac and Linux user will need wine to run the inversions.

Citing ResIPy

If you use ResIPy for you work, please cite this paper as:

Blanchy G., Saneiyan S., Boyd J., McLachlan P. and Binley A. 2020. “ResIPy, an Intuitive Open Source Software for Complex Geoelectrical Inversion/Modeling.” Computers & Geosciences, February, 104423. https://doi.org/10.1016/j.cageo.2020.104423.

BibTex code:

@article{blanchy_resipy_2020,
        title = {{ResIPy}, an intuitive open source software for complex geoelectrical inversion/modeling},
        issn = {0098-3004},
        url = {http://www.sciencedirect.com/science/article/pii/S0098300419308192},
        doi = {10.1016/j.cageo.2020.104423},
        pages = {104423},
        journaltitle = {Computers \& Geosciences},
        author = {Blanchy, Guillaume and Saneiyan, Sina and Boyd, James and {McLachlan}, Paul and Binley, Andrew},
        urldate = {2020-02-07},
        date = {2020-02-04},
        langid = {english}
}