Abstract
Fluvial-deltaic channel sands act as an excellent host for hydrocarbons in various parts of the globe. However, the prediction of channel sand reservoirs is a challenging job for geoscientists. The aim of the present study is to provide a workflow that can be used to delineate fluvial-deltaic sand reservoirs by applying the continuous wavelet transform (CWT) technique of spectral decomposition (SD) on 3D poststack seismic data from the Miano gas field in the Southern Indus Basin, Pakistan. Full spectrum attributes such as amplitude, root-mean-square (RMS) amplitude, coherence and sweetness help to map the fluvial-deltaic sands down to a certain depth, but not at the reservoir level. Nevertheless, the CWT and some conventional seismic attributes, along with the 3D visualization, can be helpful in demarcating the potential sands, thereby predicting the lithology, gas pay zones and the thicknesses of the productive zones. This workflow may serve to mark out the stratigraphic hydrocarbon reservoir compartments within fluvial-deltaic systems in the Southern Indus Basin, Pakistan.
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