Abstract
Prospecting for reservoir zones in mature trends sometimes requires unconventional exploration tools. AVO has been successfully used as a direct hydrocarbon indicator in some clastic rocks. Lately, AVO inversion for Lame parameters (λρ and μρ) has been shown to enhance identification of reservoir zones. Furthermore, integration of AVO-derived attribute volumes with other non-AVO-derived seismic attribute volumes can provide meaningful geologic information when tied back to well data and verified as correlating with rock properties. This paper provides a case study of a 3D seismic survey in southern Alberta, Canada, where a probabilistic neural network solution was employed on AVO attributes. The results were integrated with other seismic attributes to develop a more comprehensive interpretation.
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