Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15796
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dc.contributor.authorUsman, Muhammad-
dc.date.accessioned2021-04-07T07:29:36Z-
dc.date.available2021-04-07T07:29:36Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/123456789/15796-
dc.description.abstractReservoir characterization using seismic and Well data is a renowned technique within the context of hydrocarbon exploration. This study pertains to the interpretation of seismic lines, wireline logs and spectral decomposition for better visualization of important features at reservoir level. The study area selected for this purpose is Fimkassar area (Upper Indus Basin) Pakistan. The area is a part of Potwar sub-basin which is known for its hydrocarbon structural traps. Patala formation acts as a source rock, Chorgali and Sakesar formation acts a reservoir rock whereas Murree formation acts a seal/cap rock. The data used for this work consist of 3 seismic lines. The result suggest that study area consists of snake head structures and pop-up anticlines. Various seismic attributes are used to confirm the interpretation results. Spectral Decomposition further used which helps in identifying bed thicknesses and geologic discontinuities. The result suggests that at 37.3 Hz Sakesar formation produce better results in regard of hydrocarbon exploration. Spectral decomposition results are further verified by petrophysical analysis of Sakesar formation. Petrophysical analysis of Well Fimkassar-02 is carried out for Chorgali, Sakesar and Patala formation to depict the favorable zones for hydrocarbon accumulation and their reservoir characteristics. The results suggest that Sakesar formation is more producing then Chorgali formation. Average hydrocarbon saturation in Sakesar formation is 55% and average porosity is 5%.en_US
dc.language.isoenen_US
dc.publisherQuaid i Azam Universityen_US
dc.subjectEarth Sciencesen_US
dc.subjectGeophysicsen_US
dc.titleSUBSURFACE STUDIES OF FIMKASSAR AREA USING SEISMIC AND WELL DATAen_US
dc.typeThesisen_US
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