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Title: | 2D SEISMIC REFLECTION AND DATA INTERPRETATION INTEGRATED WITH RESERVOIR CHARACTERIZATION OF MIANO AREA |
Authors: | HAMEED ULLAH |
Keywords: | Earth Sciences Geophysics |
Issue Date: | 2017 |
Publisher: | Quaid i Azam University |
Abstract: | In this dissertation, focus is placed on the structural interpretation of the Miano block - 20 in order to demarcate the probable zone for the accumulation of hydrocarbons. This thesis work includes preparation of synthetic seismogram of Miano - 09 well. Analysis of geophysical borehole logs provides one of the best approaches to characterizing rocks within boreholes. So Facies analysis is also done in order to identify lithologies. Another important tool called AVO analysis is done in order to recognize the cl ass of the sand in the study area. Also a portion of the sequence stratigraphy is discussed to interpret the Depositional sequence system of the reservoir in the study area. For the interpretation of the seismic lines, fours reflectors are marked by correlating synthetic seismogram on seismic section. As the area of study lies in the Lower Indus Basin, horst and graben geometry in this region is common which is confirmed by fault polygon and time and depth contours made from time and depth grid respectively. Facies modeling is one of the reliable tool for the confirmation of lithologies. In this dissertation, with the help of facies analysis of Miano- 09 well, we came to the result revealing sand as the reservoir lithology. Petrophysics is the one of the most reliable tools for the confirmation of the types of the hydrocarbon and for marking of the proper zone of the interest of the presence of the hydrocarbon by combination of the different logs results. In this dissertation the petrophysics is performed on the Miano- 09 and zone of interest are marked where there is chance of the presence of the hydro carbon. At last the AVO is performed in order to identify the class of the sand present in the study area. |
URI: | http://hdl.handle.net/123456789/15799 |
Appears in Collections: | BS |
Files in This Item:
File | Description | Size | Format | |
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EAR 1717.pdf | EAR 1717 | 3 MB | Adobe PDF | View/Open |
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