Metadata-Version: 2.1
Name: stoneforge
Version: 0.1.6
Summary: Geophysics equations, algorithms and methods
Home-page: https://github.com/giecaruff/stoneforge
Author: GIECAR - UFF
License: MIT
Requires-Python: ==3.12.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy==1.26.4
Requires-Dist: pytest==8.1.1
Requires-Dist: scipy==1.13.0
Requires-Dist: scikit-learn==1.4.2
Requires-Dist: xgboost==2.0.3
Requires-Dist: matplotlib==3.8.4
Requires-Dist: pandas==2.2.2
Requires-Dist: catboost==1.2.5
Requires-Dist: lightgbm==4.3.0

<p align="center">
<img src="https://raw.githubusercontent.com/giecaruff/logos/main/APPY/stoneforge.png" width="400"/>

<h2 align="center">Algorithms, methods and equations for geophysics in Python</h2>

<p align="center">
Part of the <strong>Appy</strong> project
</p>



<p align="center">
<a href="https://giecaruff.github.io/sites/"><strong>Documentation</strong> (latest)</a> |
<a href="http://gcr.sites.uff.br/"><strong>Institutional</strong> (GIECAR website)</a> 
</p>


<p align="center">
<a href="https://github.com/giecaruff/stoneforge/actions"><img src="https://github.com/giecaruff/stoneforge/actions/workflows/CI.yml/badge.svg" alt="Latest version on PyPI"/></a>
<a href="https://badge.fury.io/py/stoneforge"><img src="https://badge.fury.io/py/stoneforge.svg" alt="PyPI version" height="20"></a>
</p>
  
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## About

The Stoneforge library is linked to the GIECAR laboratory at the Universidade Federal Fluminense (UFF) related to the Geology and Geophysics Departmnet <a href="http://geologiaegeofisica.sites.uff.br/"> (GGO)</a>, and its purpose is to teach and develop routines in Python to solve geological and geophysical problems.


## Installation and first steps

To install stoneforge use the following syntax in your command interpreter environment:

```
$pip install stoneforge
```

and them verify the installation using the following command in Python:

```
>>> import stoneforge
```
  
## Dataset

The stoneforge dataset comprises selected data from eleven wildcat wells in the National Petroleum Reserve in Alaska / by F.N. Zihlman and H.L. Oliver.
Contains data sets from 11 wildcat wells drilled in the National Petroleum Reserve in Alaska (NPRA).

Zihlman, F. N creator ; Oliver, H. L ; Geological Survey (U.S.)
Reston, Va. : Denver, Colo : U.S. Dept. of the Interior, U.S. Geological Survey1999

Our special thanks to the INDIANA UNIVERSITY for mantaining this dataset


Change Log
==========

0.1.0 (29/01/2022)
------------------
- First Release
