This repository compiles academic papers, open-source projects, codes, visualization tools, and commercial software - a hub for geoscientists and data scientists interested in the intersection of subsurface data analysis and advanced computational techniques. This repository is a curated list of resources focused on well-log analysis using machine learning (ML), deep learning (DL), and visualization techniques.
A curated list of resources for well-log analysis with machine learning and deep learning.
Includes:
- Open-source repositories
- Academic research papers
- Code
- Technologies for visualization and data processing
- Commercial software
Related to：
- Geoscience
- Petrophysics
- Formation evaluation
A collection of GitHub repositories and other open-source platforms providing tools, libraries, and applications for well-log analysis.
Machine-Learning-Deep-Learning : Projects on Oil and Gas (and Non Oil & Gas) Machine Learning[code] flag:TODO
synthetic_well-log_polynomial_regression : Construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well. [code] flag:TODO
matrixfactorization : Matrix factorization for well formation tops, A recommender system for automatic picking of subsurface formation tops [code] flag：TODO
Well_log_Prediction : Prediction of Equinor Volve well logs Data [code] flag:rearching [change res]
Force-2020-Machine-Learning-competition [code] [contest] [FORCE] [xeek] [dGB] flag:Rearching [change res]
An overview of commercial software offerings that provide advanced capabilities for well-log data processing and visualization.
[Applied Computing and Geosciences] Multivariate imputation via chained equations for elastic well log imputation and prediction. [paper][official code] keys: MICE LGBM
[Journal of Petroleum Science and Engineering] Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks [paper] [official code] keys: Continuous Prediction
[IEEE Transactions on Geoscience and Remote Sensing] Physics-Constrained Deep Learning of Geomechanical Logs [paper] [official code] keys: LSTM Author: Yuntian Chen
[Geophysical Research Letters] Well Log Generation via Ensemble Long Short-Term Memory (EnLSTM) Network [paper] [official code] keys: LSTM Author: Yuntian Chen
[Neural Networks] Ensemble Neural Networks (ENN): A gradient-free stochastic method [paper] [official code] keys: enn Author: Yuntian Chen
[Petroleum Exploration and Development] Synthetic well logs generation via Recurrent Neural Networks [paper] [official code] keys: LSTM Author: Yuntian Chen
A list of useful code snippets, libraries, and frameworks for implementing ML and DL models on well-log data.
Tools and software recommendations for effective visualization of well-log data and interpretation results.
Petrophysics-Python-Series [code] Author: Andy McDonald
Insightful blogs and articles discussing trends, techniques, and case studies related to well-log analysis.
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