https://github.com/agilescientific/striplog

Lithology and stratigraphic logs for wells or outcrop.
https://github.com/agilescientific/striplog

data-mining data-science geology petrophysics sedimentology swung-stack

Last synced: about 2 months ago
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Lithology and stratigraphic logs for wells or outcrop.

• Host: GitHub
• URL: https://github.com/agilescientific/striplog
• Owner: agilescientific
• License: apache-2.0
• Created: 2015-02-28T18:50:07.000Z (over 9 years ago)
• Default Branch: main
• Last Pushed: 2023-10-13T07:49:53.000Z (9 months ago)
• Last Synced: 2024-05-08T02:31:12.484Z (about 2 months ago)
• Topics: data-mining, data-science, geology, petrophysics, sedimentology, swung-stack
• Language: Python
• Homepage: https://code.agilescientific.com/striplog
• Size: 19.5 MB
• Stars: 200
• Watchers: 26
• Forks: 69
• Open Issues: 77
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Lists

• awesome-open-geoscience - Striplog

README

        
# Striplog

[![Build and test](https://github.com/agile-geoscience/striplog/actions/workflows/run-tests.yml/badge.svg)](https://github.com/agile-geoscience/striplog/actions/workflows/run-tests.yml)

[![Build docs](https://github.com/agile-geoscience/striplog/actions/workflows/build-docs.yml/badge.svg)](https://github.com/agile-geoscience/striplog/actions/workflows/build-docs.yml)

[![PyPI version](https://img.shields.io/pypi/v/striplog.svg)](https://pypi.org/project/striplog/)

[![PyPI versions](https://img.shields.io/pypi/pyversions/striplog.svg)](https://pypi.org/project/striplog/)

[![PyPI license](https://img.shields.io/pypi/l/striplog.svg)](https://pypi.org/project/striplog/)

Lithology and stratigraphic logs for wells and outcrop.

* [A blog post about striplog](http://www.agilegeoscience.com/blog/2015/4/15/striplog)

* [Another one, with a video](http://www.agilegeoscience.com/blog/2015/7/10/geophysics-at-scipy-2015)

## Install

* `pip install striplog`

We recommend setting up a virtual environment:

* Install Anaconda if you don't have it already

* Then create an environment called `myenv` (or whatever you like):

    conda create -n myenv python=3.9 numpy scipy matplotlib

    conda activate myenv

* Then you can do:

    pip install striplog

## Docs

[Read striplog's documentation.](https://code.agilescientific.com/striplog)