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-2025.1.0rc10.tar.gz (217.3 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-2025.1.0rc10-py3-none-any.whl (100.6 kB view details)

Uploaded Python 3

File details

Details for the file subsurface_terra-2025.1.0rc10.tar.gz.

File metadata

  • Download URL: subsurface_terra-2025.1.0rc10.tar.gz
  • Upload date:
  • Size: 217.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for subsurface_terra-2025.1.0rc10.tar.gz
Algorithm Hash digest
SHA256 2a926262eb966980b4205e5c375ef4f0b030801dbd80a6bdbcb83ffc3b3dcfe4
MD5 ae3229e05d6c39843b789efafff05b25
BLAKE2b-256 f036245e18b94818181dd9d048deb505d88f3194a23ce81c943fa93bde4da896

See more details on using hashes here.

File details

Details for the file subsurface_terra-2025.1.0rc10-py3-none-any.whl.

File metadata

File hashes

Hashes for subsurface_terra-2025.1.0rc10-py3-none-any.whl
Algorithm Hash digest
SHA256 b453d25be6f8c9b4c0e873f158ff0e0f1fe4e72b11517b30e8fb16cb0abc5905
MD5 516874ee246015962834bda56ee11f88
BLAKE2b-256 0b52ad852a92355caee7ec235c34220030213799160658e49a65afa277ac8149

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