S-Cube delivers its breakthrough waveform inversion through the XWITM toolbox which now integrates the AWI and RWI objective functions. This latest result on the SEG14 blind test dataset demonstrates why this combination is theoretically and practically potentially the most accurate and efficient algorithm in existence to determine the final velocity model deep below the diving wave limit from a highly inaccurate starting model.
Original Starting Model
Simplified Starting Model
Full Waveform Inversion
Adaptive Waveform Inversion
Overcomes Cycle Skipping
Reflection Waveform Inversion
Extends Update Deeper
Harnessing reflection moveout
During RWI, near offset inversion is used to image reflectors generating temporary virtual sources in the model. Offsets are then opened up to update background velocity values with a scattered wavefield objective function. This misfit minimisation isolates and inverts the moveout misfit between the observed and predicted traces of the reflected events.
Fitting deep reflected events
Deep reflected events in the predicted data shifting into positions through the inversion.
Run Full Waveform Inversion on the Cloud
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