stoneforge 0.1.4

Geophysics equations, algorithms and methods

<p align=”center”> <img src=”https://github.com/giecaruff/logos/raw/main/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