Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
☆274Nov 29, 2021Updated 4 years ago
Alternatives and similar repositories for faultSeg
Users that are interested in faultSeg are comparing it to the libraries listed below
Sorting:
- Automatic fault interpretation with optimal surface voting☆61Sep 5, 2019Updated 6 years ago
- Deep Learning for Seismic Imaging and Interpretation☆459Sep 18, 2020Updated 5 years ago
- Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks☆137Nov 12, 2019Updated 6 years ago
- Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset☆76Aug 10, 2022Updated 3 years ago
- Interactive salt boundary picking☆14Feb 4, 2021Updated 5 years ago
- Seismic Foundation Model☆140Dec 23, 2025Updated 2 months ago
- Notebooks with examples and demos of segyio☆142Oct 10, 2023Updated 2 years ago
- Deep-learning seismic facies on state-of-the-art CNN architectures☆89May 14, 2022Updated 3 years ago
- Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation☆158Sep 13, 2021Updated 4 years ago
- Fast Python library for SEGY files.☆560Dec 3, 2025Updated 2 months ago
- Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data …☆51Jul 14, 2021Updated 4 years ago
- fault picking with 3D-UNets☆37Nov 22, 2022Updated 3 years ago
- Seismic image processing for geologic faults☆86May 18, 2015Updated 10 years ago
- Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)☆97Apr 27, 2025Updated 10 months ago
- Papers related to Deep Learning, GANs, applied to seismic☆34Dec 22, 2019Updated 6 years ago
- FaultSeg3D的pytorch版本☆21Mar 28, 2024Updated last year
- Collection of geophysical notes in the form of IPython/Jupyter notebooks.☆167May 10, 2024Updated last year
- Open source code for "cigFacies: a massive-scale benchmark dataset of seismic facies and its application"☆19Dec 22, 2025Updated 2 months ago
- Bag of really useful geoscience equations and stuff☆301Dec 19, 2023Updated 2 years ago
- ☆15Apr 6, 2023Updated 2 years ago
- Compress and decompress seismic data☆74Feb 19, 2026Updated last week
- How to convert segy file to numpy format.☆28Jan 7, 2023Updated 3 years ago
- Software for detection of given facies☆60Sep 15, 2019Updated 6 years ago
- Geophysical Tutorials column for 2018☆128Oct 30, 2020Updated 5 years ago
- ☆24May 17, 2020Updated 5 years ago
- The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facie…☆70Apr 17, 2020Updated 5 years ago
- A couple of python scripts to interpret geological structures from geophysical images using deep learning☆250May 9, 2025Updated 9 months ago
- The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facie…☆132Nov 18, 2022Updated 3 years ago
- Deep-learning inversion: A next-generation seismic velocity model building method☆216Aug 28, 2022Updated 3 years ago
- A tutorial on Reverse Time Migration☆50Nov 16, 2017Updated 8 years ago
- ☆72Feb 29, 2024Updated 2 years ago
- CIGVis is a tool for geophysical data visualization, which developed by Computational Interpretation Group (CIG)☆129Feb 3, 2026Updated 3 weeks ago
- Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories☆30Dec 27, 2018Updated 7 years ago
- Karst segmentation in 3D seismic images☆17Nov 24, 2020Updated 5 years ago
- SEGY Swiss Army Knife for Seismic Data☆120Aug 21, 2025Updated 6 months ago
- Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch☆152Aug 16, 2019Updated 6 years ago
- Generating seismic data and associated labels to train deep learning networks.☆111Mar 13, 2025Updated 11 months ago
- A Benchmark for Seismic Velocity Inversion from Synthetics☆47Jul 25, 2024Updated last year
- According to Building realistic structure models to train convolutional neural networks for seismic structural interpretation☆10Oct 12, 2023Updated 2 years ago