矿产勘探和机器学习资源列表,通常包含有用的代码和示例。
lithology 开源项目推荐(31 个)
lithology 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 31 个仓库Global Scalable Paleo Landscape Evolution Model
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.
Python package for Exploratory Lithology Analysis
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.
Python package for Petrophysical analysis.
Analysis notebooks for the geolink well log dataset
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…
Machine learning project for lithology classification from well log data using XGBoost. Predicts Sandstone, Shale, and Limestone from petrophysical logs.
Lithology type classification
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
Predicting lithology from drillhole geochemistry - honest, spatially-validated ML on open SARIG data (CLR features, GroupKFold by drillhole).
Tools for plotting and analyzing stratigraphic data in R
Calculate each facies proportion for each well in a field and plot them as bubble map distribution
Automated well log interpretation: lithology classification & porosity estimation
A package to extract information from drillholes to feed 3D modelling packages
Facies Classification is one of the process to devine the lithology, with unsupervised learning K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) it will be easily devine type of lithology with automation classification.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/lithology。
- 该话题在 GitHub 上共有 31 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 582 Star,覆盖 4 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。