List of resources for mineral exploration and machine learning, generally with useful code and examples.

Global Scalable Paleo Landscape Evolution Model

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.

Python package for Exploratory Lithology Analysis

We have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for reservoir characterization, uncertainty quantification and history matching.

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.

Analysis notebooks for the geolink well log dataset

Python package for Petrophysical analysis.

A probability based approach to characterize lithology using drilling data and Random Forests

Handle classification within volcanic formation using supervised learning.

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…

A mini dataset of lithology microscopic images. This Dataset was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. Amin Beheshti.

SyleFileCrator for INSPIRE

Tools for plotting and analyzing stratigraphic data in R

Lithology type classification

Python scripts voor bewerken Nederlandse en Vlaamse bodeminformatie

Calculate facies percentage within specific intervals

Calculate each facies proportion for each well in a field and plot them as bubble map distribution

A package to extract information from drillholes to feed 3D modelling packages

GloVe and BERT language models re-trained using geological text.