GloVe and BERT language models re-trained using geological text.
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Updated
Jul 31, 2023 - Jupyter Notebook
GloVe and BERT language models re-trained using geological text.
SyleFileCrator for INSPIRE
Python scripts voor bewerken Nederlandse en Vlaamse bodeminformatie
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…
Python package to assist in providing quick-look or preliminary petrophysical estimation.
Tools for plotting and analyzing stratigraphic data in R
A mini dataset of lithology microscopic images. This Dataset was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. Amin Beheshti.
A probability based approach to characterize lithology using drilling data and Random Forests
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
Analysis notebooks for the geolink well log dataset
Calculate facies percentage within specific intervals
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.
Handle classification within volcanic formation using supervised learning.
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
Global Scalable Paleo Landscape Evolution Model
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Add a description, image, and links to the lithology topic page so that developers can more easily learn about it.
To associate your repository with the lithology topic, visit your repo's landing page and select "manage topics."