Skip to content
#

lithology

Here are 19 public repositories matching this topic...

GebPy

GebPy 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.

  • Updated Apr 30, 2024
  • Jupyter Notebook

To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.

  • Updated Nov 20, 2023
  • Jupyter Notebook

This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enforcement (BSEE) https://www.data.bsee.gov/Main/Default.aspx with a particular focus on the Gulf of Mexico (GOM) wells. This project will study sandstone…

  • Updated Nov 20, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the lithology topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the lithology topic, visit your repo's landing page and select "manage topics."

Learn more