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This section introduces custom TV (total variation) norm based constraint settings. When used in tandem with Adaptive Waveform Inversion this acts to penalise jumps and homogenise salt. It preserves key salt boundaries and suppresses spurious oscillation when building up blocks of salt.

Below shows a synthetic example with a starting model and target model. Results from conventional least-squares FWI are compared with AWI plus constraints.

Starting Model

Starting Model

Target Model

Target Model

Conventional FWI

Conventional FWI

AWI with constraints

AWI with constraints

AWI with spatial derivative constraints

Salt body recoveredĀ 

Horizontal slice through starting model

Horizontal slice through starting model

Vertical slice through starting model

Vertical slice through starting model

Horizontal slice through intermediate model

Horizontal slice through intermediate model

Vertical slice through intermediate model

Vertical slice through intermediate model

Horizontal slice through final model

Horizontal slice through final model

Vertical slice through final model

Vertical slice through final model

Horizontal slice through target model

Horizontal slice through target model

Vertical slice through target model

Vertical slice through target model

Conventional FWI

Salt body wiped away

Horizontal slice through starting model

Horizontal slice through starting model

Vertical slices through starting model

Vertical slices through starting model

Horizontal slice through final model

Horizontal slice through final model

Vertical slice through final model

Vertical slice through final model

S-Cube Cloud

Run Full Waveform Inversion on the Cloud

Use XWITM on AWS to discoverĀ a step change in accuracy and resolution of your velocity model.