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OSDU™ Data Platform

With over 50 years of subsurface and data transformation experience, we have built a robust data model that honours the granularity of subsurface disciplines which we have committed to contribute fully to the OSDU. Discover CGG Data Hub's OSDU ingestion service.

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MODEL-BASED DEBLENDING WORKFLOW AND ITS APPLICATION TO MULTIPLE SOURCE ACQUISITION DATA

In this paper, we discuss the deblending result of a penta-source marine towed streamer data. The small dithering time renders the cross-talk noise to be semi-coherent in all domains, making this dataset challenging for existing deblending techniques. To tackle this data, we propose a new model-based deblending scheme (MBD) which supplements the previously proposed deblending scheme.

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