f Optimizing interpretation knowledge with full azimuth information and data in a common canvas

Pre stack seismic data structures are a result of a systematic and formulated reconstruction of the recorded seismic wavefield. Seismic processing and imaging specialists spend most of their time generating, refining, analyzing, and inverting these pre stack data structures in order to attenuate noise, build velocity models, image the subsurface structure, search for direct hydrocarbon indicators and derive elastic properties. Seismic interpreters, on the other hand, spend most or all of their time performing operations on the stacked image. While modern interpretation systems are rich in data mining, visualization, and extraction procedures, these operations, and the information extracted from them, are limited to the dimensionality of the data and the loss of information suffered during the stacking process. To overcome these deficiencies, approximations in the form of limited dimensional stacks over acquisition offset or subsurface angle are frequently used as part of the interpretation process.