Abstract

This study presents an integrated approach of combining seismic data conditioning, rock physics analysis and AVO (Amplitude Versus Offset) techniques to characterize a deep-water reservoir cluster in the Krishna-Godavari (KG) Basin, located off the east coast of India. The reservoir cluster is situated within a slope fan complex and deposited during the PlioceneMiocene age. The evaluation was carried out using reprocessed seismic data and offset well information. The deviation of gas sands from the wet sand/shale trend in an AVO cross-plot forms the basis for discriminating classical AVO anomalies. The probability of correctly identifying gas sands decreases when the anomalies fall closer to the background trend. The study demonstrates how elastic property analysis, fluid substitution modeling and AVO attribute extraction can effectively delineate hydrocarbon-bearing sands from background lithologies.