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Accurate data reconstruction through simultaneous application of statistical and physics-based constraints to multiple geophysical datasets.Normal access

Authors: A. Baumstein and R. Neelamani
Event name: 71st EAGE Conference and Exhibition - Workshops and Fieldtrips
Session: WS 9: Reconstruction, Recovery and Interpolation of Multi-dimensional Seismic Wave Fields
Publication date: 08 June 2009
DOI: 10.3997/2214-4609.201404915
Organisations: SPE, EAGE
Language: English
Info: Extended abstract, PDF ( 273.79Kb )
Price: € 20

Summary:
Spatial aliasing is the key problem that affects seismic data interpolation techniques. Although existing methods can interpolate data "beyond aliasing" under certain assumptions, their performance degrades as shot and receiver sampling become coarser. Most existing data interpolation techniques overcome aliasing by making assumptions regarding either the statistical properties of the data or the physics that explains the data.


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