No abstract

In exploration seismology, it is extremely important to enhance the image of the sub-surface in terms of geological features by suppressing the noise. The weighted stacking methods are found to be superior to the conventional stacking and result in good quality seismic images. The weighted stacking process based on principal component analysis (PCA) is employed in the present study to enhance the seismic image from the Krishna-Godavari (KG) basin, India. In present study, the weights are calculated by thresholding the similarities between each data trace and PCA based reference trace. The study demonstrates the efficacy of the method and shows considerable improvement in the resolution of the seismic reflections. The identification of the migration pathways within the gas curtains reported earlier, has become easy and clarity is enhanced for the identification of migration and accumulation of free gas in the downslope region of the seismic image.