Abstract

The chimney analysis tool is very useful for identifying fluid migration paths from source through the reservoir to the surface. We apply this tool to the multi-channel seismic data in the Krishna-Godavari (KG) offshore basin with a view to imaging the chimneys. After having conditioned the seismic data, multiple attributes such as the frequency washout, energy, dip variance, similarity have been computed and then merged using a non-linear Multi-Layer Perceptron (MLP) to derive a meta attribute, defined as the chimney attribute. This study helps in better interpretation of seismic data in terms of understanding the petroleum system of KG basin, and risk assessment in future drilling.