The oil and gas industry has advanced over time in terms of seismic data acquisition. From conventional data acquisition to full/wide/multi-azimuth broadband data, there is an abundance of subsurface information aimed mainly at enhancing structural resolution, for improved prospect definition. Conventional seismic imaging tends towards the higher amplitude specular/continuous part of the seismic dataset for generating reflection events. During this process amplitudes or energy related to small scale features and faults can be contaminated, therefore in order to capture that information, it is essential to preserve the wavefield while imaging.

Keywords:
Artificial Intelligence, Imaging, Upstream Oil & Gas, information, diffraction imaging, diffraction, local angle domain, decomposition, velocity model, diffraction energy
Subjects:
Reservoir Characterization, Seismic processing and interpretation
Copyright 2018, Society of Petroleum Engineers
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