OpendTect / OpendTect-ML-DevLinks
Examples on how to develop your own Machine Learning tools and workflows
☆22Updated last year
Alternatives and similar repositories for OpendTect-ML-Dev
Users that are interested in OpendTect-ML-Dev are comparing it to the libraries listed below
Sorting:
- Python implementations in geophysical methods: seismic and gravity☆97Updated last month
- A rock physics library for Python☆48Updated 2 years ago
- extensive Python library for rock physics modelling☆49Updated 9 months ago
- T21 tutorial using Volve data☆33Updated 2 years ago
- Framework for computing seismic attributes with Python.☆47Updated 2 years ago
- Neural network based petrophysical property inversion☆38Updated 5 years ago
- seismic-well tie in Python☆30Updated 9 months ago
- Seismic Reservoir Modeling Python package☆108Updated last year
- Practicing machine learning (from scratch) with Python 🐍☆17Updated 3 years ago
- Pore pressure prediction using seismic velocity and well log data☆93Updated 5 years ago
- Automated Well-Tie☆33Updated 2 years ago
- Teaching material for ML in Geoscience course☆89Updated 10 months ago
- Quantitative interpretation methods for reservoir characterization using well log analysis and quantitative seismic rock physics☆14Updated 5 years ago
- Python package to support investigation of geoscience problems including geophysics, rock physics, petrophysics, and data read/write in c…☆37Updated 3 years ago
- External Attribute scripts for the open source seismic interpretation system - OpendTect☆25Updated 6 years ago
- Transform seismic segy to logs using Machine Learning☆14Updated 6 years ago
- ☆39Updated 5 years ago
- Python utility for formation evaluation and petrophysical analysis support☆42Updated last month
- Create realistic geological models with folds, faults and meandering river sediments.☆15Updated 3 years ago
- ☆31Updated 4 years ago
- Some simple tutorials about machine learning / deep learning / optimization in geosciences.☆42Updated last year
- A Benchmark for Seismic Velocity Inversion from Synthetics☆46Updated last year
- Geophysical Tutorials column for 2017☆100Updated 7 years ago
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Updated 3 years ago
- ☆56Updated 6 years ago
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 4 years ago
- Teaching material for ErSE 210 Seismology course☆125Updated 3 months ago
- This is for AI prediction using seismic attributes☆24Updated 5 years ago
- Seismic Spectral Enhancement Technique☆11Updated last year
- Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest☆15Updated 5 years ago