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DC Field | Value | Language |
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dc.contributor.author | Asif, Muhammad | - |
dc.date.accessioned | 2022-09-26T07:25:59Z | - |
dc.date.available | 2022-09-26T07:25:59Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/20901 | - |
dc.description.abstract | In hydrocarbon exploration the seismic method is the most modern technique being used by the petroleum industries. It is the most accurate and gives detailed information about the subsurface as compared to other available geophysical methods. But due to anisotropic behavior and structural complexities the risk also prevails there. This may lead to predict the subsurface picture wrongly and as a consequence well failure may occur. This dissertation debates on the possible well failure causes in the Punjab platform area. The 2D seismic data of the study area was used to study the possible well failure cause in the study area. The present study focuses to understand the possible clue about the reservoir using seismic, well log data and also doing AVO analysis. Seismic data was used understand the subsurface structures of the study. The petrophysical analysis in addition, helped to study the reservoir characterization. Furthermore the depth of different reflectors was calculated by using seismic velocities to calculate the percentage error in depth calculation. Seismic attributes analysis of seismic section helps 111 identifying the different lithological boundaries and also the structural disturbance. Different seismic attributes (Signal Envelope, Instantaneous Phase and Instantaneous Frequency) were derived in the study and these attribute confirm about all the interpretation. Rock physics have been done to understand the reservoir characteristics and to protect from the well frailer. These properties is calculated from the sonic log are used for purposes. Sequence stratigraphy has been done with the help of OR log. Through this study there is defined the depositional environment of the area is interpreted. Amplitude versus offset (AVO) analysis is basically used to understand the class of sand in the reservOlr | en_US |
dc.language.iso | en | en_US |
dc.publisher | Quaid e Azam university Islamabad | en_US |
dc.subject | Earth Sciences | en_US |
dc.title | Integrated Reservoir Characterization of Miano Area, Lower Indus Basin, Using 2D Seismic and Well Log Data | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.Sc |
Files in This Item:
File | Description | Size | Format | |
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EAR 1541.pdf | EAR 1541 | 7.87 MB | Adobe PDF | View/Open |
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