• ← Elastic wave equation
  • Forward modelling with Marmousi velocity model →

ExamplesΒΆ

These examples demonstrate how to use Deepwave. Each is designed to show different features of Deepwave, so I recommend that you read and try to understand all of them.

  • Forward modelling with Marmousi velocity model
  • Full-Waveform Inversion (FWI)
  • Least-Squares Reverse-Time Migration (LSRTM)
  • Reducing memory usage by accumulating gradients over batches
  • Further reducing memory consumption with checkpointing
  • Matching a target final wavefield and saving snapshots
  • Location interpolation and dipoles
  • Frequency tapering and time padding
  • Distributed (multi-GPU) execution
  • Elastic propagation and FWI
  • Generated model
  • Large gradients at edges
  • Graph Space Optimal Transport
  • Joint Migration Inversion
  • Hessian
  • Custom imaging condition
 
  • ← Elastic wave equation
  • Forward modelling with Marmousi velocity model →

Deepwave

Navigation

Contents:

  • PyTorch
  • What Deepwave calculates
  • Examples
    • Forward modelling with Marmousi velocity model
    • Full-Waveform Inversion (FWI)
    • Least-Squares Reverse-Time Migration (LSRTM)
    • Reducing memory usage by accumulating gradients over batches
    • Further reducing memory consumption with checkpointing
    • Matching a target final wavefield and saving snapshots
    • Location interpolation and dipoles
    • Frequency tapering and time padding
    • Distributed (multi-GPU) execution
    • Elastic propagation and FWI
    • Generated model
    • Large gradients at edges
    • Graph Space Optimal Transport
    • Joint Migration Inversion
    • Hessian
    • Custom imaging condition
  • Usage

Related Topics

  • Documentation overview
    • Previous: Elastic wave equation
    • Next: Forward modelling with Marmousi velocity model

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