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Classification And Suppression Of Blending Noise Using CNN
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, First EAGE/PESGB Workshop on Velocities, Feb 2018, cp-579-00011
- ISBN: 978-94-6282-242-9
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Abstract
In 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.