Abstract
This research endeavor to provide a workflow that may open the ways to explore the clastic reservoirs by the application of continuous wavelet transform technique of spectral decomposition and conventional seismic attributes such as average energy, reflection strength to a 3D seismic data set of Miano gas field, Lower Indus Basin of Pakistan. Miano Gas field is one of the distinct hydrocarbon producing zone located in Lower Indus Basin, Pakistan. Lower Goru is the principal hydrocarbon reservoir of Fluvial-deltaic depositional environments. Extensive geophysical studies have been done in this area to explore these clastic reservoirs. Predicting the thin reservoir sands within these laterally heterogeneous environments is a challenge for the Geoscientists. To overcome this issue, we have applied spectral decomposition; a vigorous seismic interpretation tool for delineating the channel geometries and the potential thin beds of hydrocarbon bearing sands. This technique can detect thin gas sand reservoirs which conventional seismic attributes cannot do due to their bandwidth limitations. Average energy could only give clue for these depositional features due to bandwidth limitation. However, continuous wavelet transform technique of spectral decomposition has remarkably delineated the channel geometries and the thin gas sand beds associated with these depositional features. Therefore, continuous wavelet transform in conjunction with some conventional seismic attributes can be used for future delineation and characterization of Fluvial-Deltaic reservoirs by giving optimal well locations of Miano area, Lower Indus Basin, Pakistan.