Skip to main content

Subsurface data types and utilities. This version is the one used by Terranigma Solutions. Please feel free to take anything in this repository for the original one.

Project description

subsurface

DataHub for geoscientific data in Python. Two main purposes:

  • Unify geometric data into data objects (using numpy arrays as memory representation) that all the packages of the stack understand

  • Basic interactions with those data objects:

    • Write/Read
    • Categorized/Meta data
    • Visualization

Data Levels

The difference between data levels is not which data they store but which data they parse and understand. The rationale for this is to be able to pass along any object while keeping the I/O in subsurface::

            HUMAN

\‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾/
= = = = = = = = = = = = = = /. \ -> Additional context/meta information about the data = = = = geo_format= = = = /. .
= = = = = = = = = = = = /. . . \ -> Elements that represent some = = = geo_object= = = /. . . . \ geological concept. E.g: faults, seismic = = = = = = = = = = /. . . . ./ = = element = = = /. . . . / -> type of geometric object: PointSet, = = = = = = = = /. . . ./ TriSurf, LineSet, Tetramesh \primary_struct/. . . / -> Set of arrays that define a geometric object: = = = = = = /. . ./ e.g. StructuredData, UnstructuredData \DF/Xarray /. . / -> Label numpy.arrays = = = = /. ./ \array /. / -> Memory allocation = = /./ = // /

           COMPUTER

Documentation (WIP)

Note that subsurface is still in early days; do expect things to change. We welcome contributions very much, please get in touch if you would like to add support for subsurface in your package.

An early version of the documentation can be found here:

https://softwareunderground.github.io/subsurface/

Direct links:

  • Developers-guide <https://softwareunderground.github.io/subsurface/maintenance.html>_
  • Changelog <https://softwareunderground.github.io/subsurface/changelog.html>_

Installation

.. code-block:: console

pip install subsurface

or

.. code-block:: console

conda install -c conda-forge subsurface

Be aware that to read different formats you will need to manually install the specific dependency (e.g. welly to read well data).

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

subsurface_terra-2025.1.0rc0.tar.gz (214.1 kB view details)

Uploaded Source

Built Distribution

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

subsurface_terra-2025.1.0rc0-py3-none-any.whl (97.3 kB view details)

Uploaded Python 3

File details

Details for the file subsurface_terra-2025.1.0rc0.tar.gz.

File metadata

  • Download URL: subsurface_terra-2025.1.0rc0.tar.gz
  • Upload date:
  • Size: 214.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for subsurface_terra-2025.1.0rc0.tar.gz
Algorithm Hash digest
SHA256 92506ce0e7fb1d9625209c4e68622c5b9a7503e25c87f52d39bbc269648036bb
MD5 385a221413912628db925e132560b355
BLAKE2b-256 4095d67bc99713ad2e850839ff08250b4bd4c3e265546715f0a558e7609b8460

See more details on using hashes here.

File details

Details for the file subsurface_terra-2025.1.0rc0-py3-none-any.whl.

File metadata

File hashes

Hashes for subsurface_terra-2025.1.0rc0-py3-none-any.whl
Algorithm Hash digest
SHA256 65ea8df61691eb5416c9c77e162b96fb5aa9db2c4997c2912ef01a9f2b43ee8c
MD5 a15194cfc9dd8eb61dac9e19a01137d0
BLAKE2b-256 c606a2045873d1c883900c613bc6261aa91c9d27e6e9a1e5c18bd4b4b614bbb5

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