DIG-Kaust/Seismic_PnP
Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers
This project helps geophysicists improve the quality of subsurface images. It takes raw seismic reflection data and applies advanced noise reduction techniques to produce clearer impedance models of the earth's layers. Exploration geologists and reservoir engineers can use this to get a more accurate picture of underground structures for oil, gas, or geothermal exploration.
No commits in the last 6 months.
Use this if you need to perform post-stack seismic inversion and want to achieve higher resolution and less noisy subsurface impedance models.
Not ideal if you are working with pre-stack seismic data or require a different type of geophysical inversion beyond post-stack.
Stars
31
Forks
4
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 17, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DIG-Kaust/Seismic_PnP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
seisbench/seisbench
SeisBench - A toolbox for machine learning in seismology
petrobras/GeoSlicer
Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image...
thilowrona/seismic_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
microsoft/seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
RichardScottOZ/mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.