Seismic Denoising

The task of removing/suppressing the unwanted energies from recorded seismic data. These unwanted energies (i.e. seismic noise) has often non-stationary characteristics and could be random or non-random overlapping the seismic signal of interest.

Used ML Approaches:

  • Artificial Neural Networks

  • Dictionary Learning

  • Support Vector Machine

Used Neural Networks:

  • Autoencoder

  • DnCNN

  • U-Net

  • ResNet

  • GAN

  • VGG

  • SegNet

  • DenseNet

  • Attention

Used Learning Procedures:

  • Supervised Learning

  • Unsupervised Learning

  • Transfer Learning

  • Self-Supervised Learning

  • Semi-Supervised Learning

References:

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