Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
dc.contributor.author | SYED SAAD ALI, 01-262191-019 | |
dc.date.accessioned | 2022-12-30T10:55:57Z | |
dc.date.available | 2022-12-30T10:55:57Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/123456789/14589 | |
dc.description | Supervised by Dr. M Fahad Mahmood | en_US |
dc.description.abstract | Horst & Graben structures are a very common example of extensional tectonics as represented by Badin area, Southern Sindh Monocline, Pakistan. In order to carry out the structural and stratigraphic interpretation of the Badin area, eight seismic lines along with four wells are interpreted. Two way time and depth mapping helped in delineating the structural trend and understanding the tectonics of the area. Subsurface mapping reveals that major fault trend is NWSE. There are indications of reactivation of faults indicating the occurrence of tilted fault blocks. Existing structural trend of the area provides basic components of a prolific petroleum system. 1-D forward modeling is done for the Jabo-01 well and zone of interest is the B Sands of Lower Goru Formation. Porosity calculations are made to find out the hydrocarbon saturation. The main constituents of petroleum system are present as proven by a number oil and gas discoveries but there is still a requirement of advance techniques to improve seismic resolution and quality of interpretation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Earth and Environmental Sciences, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | MS Geophysics;T-1888 | |
dc.subject | Geophysics | en_US |
dc.title | DETERMINATION OF POROSITY AND WATER SATURATION USING 3D SEISMIC POST-STACK INVERSION OF BADIN AREA, SOUTHERN INDUS BASIN, SINDH PAKISTAN | en_US |
dc.type | MS Thesis | en_US |