DeepWave-KAUST/SSL-Lowfrequency-extrapolation
Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
This project helps geophysicists improve the clarity and detail of seismic images. It takes raw seismic data and enhances its low-frequency content, which is crucial for accurate subsurface imaging. The output is higher-resolution seismic data that can lead to better interpretations for oil and gas exploration or carbon capture and storage projects. Seismic interpreters and exploration geophysicists would use this.
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Use this if you need to extrapolate missing low-frequency components in your seismic data to achieve clearer, more reliable subsurface images.
Not ideal if you are not working with seismic data or if your primary need is general image enhancement outside of low-frequency extrapolation.
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Language
Python
License
MIT
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Last pushed
Nov 04, 2024
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