Our comprehensive multistage full-wave inversion workflow involves dynamic-warping FWI, image-guided FWI, wavepath reflection FWI and high-resolution reflection FWI.

Full waveform inversion (FWI) develops a subsurface model that best explains the observed seismic data through iteratively minimizing the misfit between modelled and observed data.

This is inherently a nonlinear optimization problem and thus often suffers from local-minima and cycle-skipping issues. To attack these issues, TGS FWI uses a dynamic warping technique to resolve long wavelength components; then image-guided FWI starts from low frequency, small offset data, and gradually extends to higher frequency and longer offset data for shallow model inversion. Diving-wave FWI can also be used to update anisotropy parameters. The process then turns to reflection mode; get large wavenumber background update through the wavepath kernel, and then changes to phase-only reflection FWI for high-resolution model update. TGS FWI provides a spatial correlation map, phase residual map and other tools to QC the convergence and possible cycle skipping. TGS FWI can handle all types of acquisitions (NAZ/WAZ streamer, OBC/OBN, land etc.) and provide a high-resolution model for imaging uplift.

 

 

Jian Mao , James Sheng , Matt Hart , and Taejong Kim (2016) ”High-resolution model building with multistage full-waveform inversion for narrow-azimuth acquisition data.” The Leading Edge, 35(12), 1031–1036.

A. Salem, M. Hart, S. Baldock, C. Lang, J. Chen, J. Sheng; 2018, “Image Guided Full Waveform Inversion (IGFWI) Modelling of Shallow Channel Features in the Moray Firth”, EAGE

 

 

Move the Slider Left or Right
to Visualize the Images

Got it
Kirchoff PSDM web 2
Kirchhoff PSDM: FWI Velocity
Kirchoff PSDM web.jpg
Kirchhoff PSDM: Initial Velocity