Spectral Decomposition and Seismic Attributes for Clastic Reservoir Analysis of Miano Gas Field, Southern Indus Basin, Pakistan.

Abstract

This study has been conducted on Miano Gas field located in Southern Indus Basin, Pakistan. The aim of the study is to map the producing channel sands within the heterogeneous fluvial-deltaic stacked channel of sand system. Continuous wavelet transforms technique of spectral decomposition and full spectrum seismic attributes have been applied to a 3D seismic data of study area. Full spectrum attributes such as coherency, RMS, and dominant frequency helped to identify the reservoir geometries but, could not map the hydrocarbon potential zones due to their limited imaging capability. However, continuous wavelet transform used in combination with 3D- visualization technique can be used to successfully detect and map the producing sands and to analyze the attenuation effects associated with the gas sands both at shallow and deeper reservoir levels. This workflow may help to detect and map the remaining potential reservoir compartments within the fluvial-deltaic sand system of Southern Indus Basin of the country.