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What is XWI?

The XWITM toolkit extends conventional FWI by:

  • Reformulating the objective function to avert cycle skipping without low frequencies in the field data (AWITM)
  • Applying regularization to the model update direction for incorporating geological constraints (ATV)
  • Alternating between long-wavelength and short-wavelength model updates for deeper penetration (RWI)

Adaptive Waveform Inversion is a patented variation of the FWI objective function which enables global minimum convergence from distant initial models

 

Comparing the drop in the objective function with 60 iterations of AWI followed by 60 iterations of FWI (in red) compared to 120 iterations of FWI alone (in blue)

Comparing the drop in the objective function with 60 iterations of AWI followed by 60 iterations of FWI (in red) compared to 120 iterations of FWI alone (in blue)

Why use XWITM on the Cloud?

  • Register for the S-Cube AWS SaaS cluster and access a managed compute environment built for full waveform inversion
  • Upload your existing job directories directly to the cloud virtual cluster with a few commands
  • View the computational load per shot and select the number of shots, number of shots per instance and number of iterations of your job
  • Always deploy the latest installations of XWITM
  • Monitor and QC the live job on a dashboard accessed via a URL

XWITM on the Cloud Example

 

  • Number of shots (9 saillines): 5186
  • Grid size: 25m
  • Average runtime per shot (16 core instances): 0.15 hours
  • Number of shots per iteration: 1037
  • Number of shots per instance: 2
  • Number of passes through the shots (epochs): 24
S-Cube Cloud

Try S-Cube Cloud with your Seismic Data

Zero-management cloud HPC platform configured for seismic velocity optimisation.

Launch a cloud-optimised XWITM cluster in minutes - no need for a supercomputer.