Integrated Study of Sinjhoro Block, using 2D Seismic Data And wireline logs, Southern Indus basin, Pakistan

Abstract

This dissertation contains the study and interpretation of 2D seismic reflection data of selected seismic lines of Sinjhoro area, Lower Indus Basin, Pakistan. The main objective of this research was delineation of subsurface structures favorable for hydrocarbon accumulation and attributes analysis.. This area is situated in the Sanghar District of Sindh Province and is licensed to Oil and Gas Development Corporation Limited (OGDCL).The data comprised four seismic lines and well tops of well CHAK 66-01.The names of lines obtained are: (20017-SNJ-03, 20017-SNJ-04, 20017-SNJ-05 and 20017-SNJ-08). Horizons are marked and named after correlating with well tops of CHAK 66-01, after well to seismic tie these horizons are correlated in whole area. In time structure maps, it was found that the area is under the Extensional Tectonic Regime which produced the Normal faulting in the region. Major Horst and Graben structures are formed due to process of rifting After Cretaceous only single major fault extends up to Chiltan Formation of Jurassic age. The lower cretaceous shale of sember formation is proven source for oil and gas discovered in the lower Indus basin, The Basal Sands of Lower Goru Formation are the main zones of interest in this area the upper goru formation as well as shale within the lower goru formation serves as cap rock for the underline sandstone reservoir. Time and depth contours were generated to for structural delineation. Seismic attributes are applied to identify the lithological distribution, structural deformation of the strata and for identifying the presence of hydrocarbon in the area. Instantaneous phase attributes are used for the purpose of identifying the lithological distribution and their lateral discontinuities. Envelope attribute is used to mark the possible location for hydrocarbon presence. The hydrocarbon potential of CHAK 66-01 is calculated by evaluating their petrophysical analysis of the Well logs.