Identification of Source-Receiver Offset for the Presence of Air Wave
This paper presents the study of new method in finding hydrocarbon reservoirs which is Electromagnetic Sea Bed Logging (SBL ). This study will help to improve the effectiveness of SBL method in shallow water environment. SBL was introduced to overcome some limitations on the recent technology of...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi PETRONAS
2011
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| Online Access: | http://utpedia.utp.edu.my/10513/1/2011%20-%20Identification%20of%20Source-Receiver%20Offset%20for%20the%20Presence%20of%20Air%20Wave.pdf http://utpedia.utp.edu.my/10513/ |
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| Institution: | Universiti Teknologi Petronas |
| Language: | English |
| Summary: | This paper presents the study of new method in finding hydrocarbon reservoirs which is
Electromagnetic Sea Bed Logging (SBL ). This study will help to improve the
effectiveness of SBL method in shallow water environment. SBL was introduced to
overcome some limitations on the recent technology of finding the hydrocarbon
reservoirs. Recent technology that is being used widely is seismic method via offset
seismic technique which can help to estimate other characteristics of potential
hydrocarbon reservoirs such as pore fluid and other rock properties. However, this
method cannot distinguish the presence of hydrocarbon reservoir or gas-charged water
(saline water) [1]. SBL can curb this problem since it detects the resistivity of the
hydrocarbon which is relatively higher than saline water and sediments around it.
However, at shallow water environment, this method will have some limitation due to
the presence of the air waves. Air wave is the energy propagates from the source through
the atmosphere to the receiver. Since air wave also have high resistivity, thus, it is hard
to identify the presence of HC reservoir accurately. The study is started with some
literature review first before going to do the simulation. Here, the author presents the
literature review that had been done by him and the author also presents together data
from Troll West gas Province offshore Norway which uses this method to detect the
buried hydrocarbon reservoir. Other than that, the author also presents the methodology
time line for his project on this topic. |
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