Skip to main content

Simpler geological and property models

Project description

ArchPy

Documentation Status logo

A hierarchical stochastic geological modeling tool in Python

Installation

ArchPy can be installed with pip :

pip install geoarchpy

This will install ArchPy and the necessary dependencies. To install all the dependencies (including optional ones) :

pip install geoarchpy[all]

ArchPy can also be installed from the source code. To do so, clone the repository and run the following command in the main directory :

pip install .

Alternatively, it is possible to add ArchPy path directly in the python script with sys :

sys.path.append("path where ArchPy is") 

and then import ArchPy. In such case, it is necessary to install all the dependencies manually.

Concerning the interactivity of the plots, it is necessary to install trame as well as some trame subpackages. This can be done with the following command :

pip install trame
pip install trame-vuetify
pip install trame-vtk

Requirements

Works and tested with 3.8 <= python <= 3.11

The following python packages are absolutely necessary:

  • Geone
  • matplotlib (tested with 3.10.8)
  • numpy (tested with 1.26.4)
  • scipy (tested with 1.17.0)
  • sklearn (tested with 1.8.0)
  • pandas (tested with 2.3.3)
  • shapely (tested with 2.1.2)

These are not required but highly recommanded. They are installed with ArchPy by default.

  • pyvista (tested with 0.46.5)
  • yaml (tested with 6.0.3)
  • rasterio (tested with 1.4.4)
  • geopandas (tested with 1.1.2)
  • ipywidgets (tested with 8.1.8)
  • flopy (tested with 3.9.5)

Examples

There is some example notebooks :

  • 01_basic : a folder where simple and basics ArchPy functionnalities are described
  • 02_3D_ArchPy : a complete 3D ArchPy model example as well as diverse archpy capabilities regarding the simulation of the units
  • 03_Article_example : a synthetical example shown in original ArchPy article
  • 04_hierarchies : an exemple with many hierarchical units to test ArchPy capabilities
  • 05_mps_surfaces : an example how to use MPS to simulate the units surfaces
  • 06_cross_validation : a notebook that present how to perform a cross-validation directly with ArchPy
  • 07_geological_map : this notebook presents how to integrate and use a geological in an ArchPy model
  • 08_inference : little guide how to use archpy inference tools to estimate surface parameters (no facies parameters for now) --> Note that for now, the interface is not working due to incompatibilities issues with ipywidgets.
  • 09_interface : little exemple of an interface to call an preexisting archpy model as well as drawing a new model extension.
  • 10_rotation : an example of how to create a rotated model
  • 11_modflow_coupling : an example of how to couple ArchPy with Modflow
  • 12_modflow_energy : How to couple ArchPy to model energy models with MODFOLOW 6
  • 13_modflow_energy : How to couple ArchPy to model transport models with MODFOLOW 6
  • 14_archpy2modflow : example shown in the archpy2modflow paper

Paper

A paper was published on the ArchPy concept and its different capabilities. The paper was written with the version 0.1 of ArchPy. It is available with the following link.

list of references using ArchPy

Schorpp, L., Egli, N., Straubhaar, J., & Renard, P. (2025). ArchPy and MODFLOW: Toward a General Integration of Heterogeneity into Groundwater Models. Groundwater, 63(6), 902-916. link

Schorpp, L., Straubhaar, J., & Renard, P. (2024). From lithological descriptions to geological models: an example from the Upper Aare Valley. Frontiers in Applied Mathematics and Statistics, 10, 1441596 link.

Neven, A., & Renard, P. (2023). A novel methodology for the stochastic integration of geophysical and hydrogeological data in geologically consistent models. Water Resources Research, 59(7). link

Neven, A., Schorpp, L., & Renard, P. (2022). Stochastic multi-fidelity joint hydrogeophysical inversion of consistent geological models. Frontiers in Water, 4, 989440. link

Schorpp, L., Straubhaar, J., & Renard, P. (2022). Automated hierarchical 3D modeling of quaternary aquifers: the ArchPy approach. Frontiers in Earth Science, 10, 884075. link

Contact

For any questions regarding ArchPy, please contact me at ludovic.schorpp@unine.ch

Project details


Download files

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

Source Distribution

geoarchpy-1.2.11.tar.gz (185.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geoarchpy-1.2.11-py3-none-any.whl (177.1 kB view details)

Uploaded Python 3

File details

Details for the file geoarchpy-1.2.11.tar.gz.

File metadata

  • Download URL: geoarchpy-1.2.11.tar.gz
  • Upload date:
  • Size: 185.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for geoarchpy-1.2.11.tar.gz
Algorithm Hash digest
SHA256 c4c2fcc90c5635f5f0d6a71ec003a5ec91a813c363d0c746de3018bcc050b89f
MD5 2cf0429368cd564575033d86803e6f9f
BLAKE2b-256 cece6d5124d121c7266a2c37a04018a441d59ae95c2e9eeb8fbf1a7d9a2521a9

See more details on using hashes here.

File details

Details for the file geoarchpy-1.2.11-py3-none-any.whl.

File metadata

  • Download URL: geoarchpy-1.2.11-py3-none-any.whl
  • Upload date:
  • Size: 177.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for geoarchpy-1.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 44b8fb76793d8ca47ce62699842fa0dbdcfe29705b54729cc2c577b78c246d70
MD5 2375dcd6e3a64cf4f752d36eef846059
BLAKE2b-256 1d29be3882796334eacc437f4c1f890f6b591f29d5eee1807cd5f01833f3c603

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page