Most fracture characterization techniques using seismic data are based on seismic anisotropy analysis. Providing a more reliable dataset for such analysis should be considered during the entire seismic processing sequence. This case study demonstrates that the new techniques in seismic regularization of high dense, single-source, single-receiver (S4) seismic data along discrete azimuth directions with regular source-detector distance intervals (radial domain interpolation) can provide enhanced imaging through azimuthal velocity analysis, and deliver datasets for seismic inversion with improved noise attenuation. A comprehensive workflow is presented to improve the final image quality, and to preserve the azimuthal amplitude variation with offset and azimuth (AVOAz) for its analysis, which in turn can lead to the derivation of intrinsic rock property attributes for better reservoir management decisions & drilling plans. To compensate for the overburden effect and improves resolution at the zone of interest, a multi azimuth prestack depth migration approach resolved most of the effects of heterogeneities in the velocity field, which can be misinterpreted as azimuthal anisotropy.

The processing sequence for this dense seismic (acquired with 5×5 meter bin size, 1600 traces per bin), broadband survey in Abu Dhabi supports the understanding that azimuth-rich single-source, single-receiver acquisition geometries can provide advantages over conventional techniques (such as the use of receiver arrays or narrow-azimuth surveys) for the imaging, fracture characterization, and reservoir management of very subtle low-relief structures, in particular shedding light on the complex geological environments of carbonate reservoirs in the Middle East.

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