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First EAGE/PESGB Workshop on Velocities
- Conference date: 22 Feb 2018 - 23 Feb 2018
- Location: London, UK
- ISBN: 978-94-6282-242-9
- Published: 22 February 2018
21 - 22 of 22 results
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Elastic Reflection Full Waveform Inversion
Authors W. Weibull and F. EbrahimReflection full waveform inversion is a formulation of full waveform inversion designed to extract low wavenumber velocity information from the reflected wavefield. In this works we extend reflection full waveform inversion to an elastic framework. This allows the estimation of both P-wave and S-wave velocities using reflected waveforms. We apply the method to a 3D-3C field dataset. The results clearly show that the velocities estimated with the method improve the quality of the PS image. The method is also able to incorporate in the velocity model information about the location of channel deposits at a depth of about 1200 meters.
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Classification And Suppression Of Blending Noise Using CNN
By R. BaardmanIn this abstract a novel machine learning deblending algorithm is introduced. The method uses a convolutional neural netork (CNN) to classify data patches in a "blended" and a "non-blended" class. A second, regression based, CNN deblends the "blended" patches. Results are shown for a synthetic data example.
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