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Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process.
Scalable attribute-aware network embedding with locality
Here we propose \emph{SANE}, a scalable attribute-aware network embedding algorithm with locality, to learn the joint representation from topology and attributes.
3D seismic data denoising using two-dimensional sparse coding scheme
Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques.
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs.
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