A global-scale AVO-based pre-stack QC workflow: an ultra-dense dataset in Tunisia

In this paper we introduce an AVO QC workflow which was initially designed for ultra-dense land datasets. Its purpose is to monitor the AVO behavior at key steps of a processing sequence on the full area of interest and not only limited to a well neighborhood. The workflow, based on data reduction, consists in the creation of a reliable AVO model that can then be compared to the seismic through different measurable indicators. After some basic interpretation on the whole processed area, using maps and statistics, the processing step is assessed in terms of ‘AVO-friendliness’. If validated, the sequence can be continued and if not, it must be revised. This AVO QC workflow proves the AVO-friendliness of a process. The robustness of the workflow makes it potentially applicable to all types of 3D datasets.