GebPy


NameGebPy JSON
Version 0.9.3 PyPI version JSON
download
home_pagehttps://github.com/MABeeskow/GebPy
SummaryGebPy is a Python-based, open source tool for the generation of geological data of minerals, rocks and complete lithological sequences. The data can be generated randomly or with respect to user-defined constraints, for example a specific element concentration within minerals and rocks or the order of units within a complete lithological profile.
upload_time2024-12-10 20:11:23
maintainerNone
docs_urlNone
authorMaximilian Alexander Beeskow
requires_pythonNone
licenseLGPL-3.0
keywords geophysics geochemistry mineralogy petrology seismology stratigraphy geology geosciences
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/) [![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)

<a href="https://github.com/MABeeskow/GebPy">
  <img src="https://raw.githubusercontent.com/MABeeskow/GebPy/master/documents/readme_images/readme_header.png" width="67%">
</a>

developed by Maximilian Alexander Beeskow

GebPy is an open-source, Python-based tool for the synthetic generation of geological data with focus on minerals, rocks and stratigraphy. The main assumption of GepPy is that all rock properties are determined by the mineral assemblage besides structural features. GebPy can be used for educational purposes, for example by the generation of mineralogical data that could be then further investigated in specific diagrams or in well log analysis courses after creating different stratigraphic sequences.\
GebPy is a one-man project and can still contain some technical bugs or some wrong assumptions, but it is driven by a huge motivation and has the goal to improve the knowledge and understanding of different geological aspects that are (actually) focused on mineralogy, rocks and stratigraphy.

### 🚀 Installation

Actually, GebPy can only be installed by cloning this repository. An alternative solution will be found in the future. 

## 💻 Resources

Coming soon ...

## 💭 Citing GebPy

Coming soon ...

## 💎 Mineral data

Coming soon ...

## 🪨 Rock data

Coming soon ...

## 🏞️ Stratigraphic data

Coming soon ...

## 📚 References

Coming soon ...

            

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