niyiyu/DAS-reconstruction
Wavefield Reconstruction of Distributed Acoustic Sensing with Machine Learning
This helps geophysicists and seismologists analyze massive Distributed Acoustic Sensing (DAS) datasets more effectively. It takes raw DAS wavefield data and processes it to reduce file size and separate different types of seismic waves. The output is a clearer, more compact representation of the subsurface acoustic activity, allowing for easier interpretation and storage.
Use this if you need to compress large Distributed Acoustic Sensing (DAS) wavefield data and separate seismic wave components for geophysical analysis.
Not ideal if you are working with small DAS datasets or do not require machine learning-based wavefield separation and compression.
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16
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Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jan 15, 2026
Commits (30d)
0
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