In 2010 and 2011, a 3-D low-frequency wide-azimuth dataset has been acquired in Oman to improve the sub-surface image. This dataset also enables velocity model building via waveform inversion in an, almost, hands-off way, thus speeding up the delivery of velocity model for migration. Trustworthy signal as low as two hertz is visible after a specifically designed dual-domain data processing. The waveform inversion gave a velocity model that better explains the dataset than the initial background velocity, especially at long offsets, meaning that the velocity updates were mainly due to the interpretation of the diving waves. The migrated images with the waveform inversion velocity after an ad-hoc correction of the horizontal velocity to the vertical velocity show significant improvement. This real example inversion illustrates our ability to invert large low-frequency, long-offset and wide-azimuth land data sets with acoustic waveform inversion and how we could incorporate waveform inversion, which is not a stand-alone approach yet, in a velocity model workflow.


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