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Deep Compressed Learning for 3D Seismic Inversion
We consider the problem of 3D seismic inversion from pre-stack data using a very small number of seismic sources.
Encoder-Decoder Architecture for 3D Seismic Inversion
This paper presents a deep learning solution for the reconstruction of realistic 3D models in the presence of field noise recorded in seismic surveys.
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