The XWITM optimisation toolbox now integrates the AWI and RWI 2.0 objective functions. This introduces increased sensitivity to the deepest and most subtle reflection moveout invisible to standard Full Waveform Inversion. In this demonstration (SEG14 blind synthetic) we apply X-Wave + AWI + RWI to the raw data.
AWI redefines the cost function with filter coefficients penalised away from zero lag. RWI redefines the cost function with a virtual-source generated scattered wavefield. AWI avoids cycle-skipped solutions. RWI avoids macro-model updates diminishing below the diving wave limit.
Original Starting Model
Simplified Starting Model
No AWI. No RWI.
X-Wave + AWI
Deeper penetrating update
X-Wave + AWI + RWI 2.0
Deepest penetrating update
Turning the remaining residual into macromodel updates
Enhanced convergence from fitting moveout curvature - deep reflected events in the predicted data shifting into position through the inversion.
Run Full Waveform Inversion on the Cloud
Use XWITM on AWS to discover a step change in accuracy and resolution of your velocity model.