Enhancement In Resistivity Resolution Based On Data Amalgamation Technique
The 2-d electrical resistivity imaging measured resistivity distribution at the subsurface. Improvement in 2-d resistivity data quality was carried out by the data levels amalgamation (dla) technique which is based on overlapping data levels with two different arrays combination. The first study...
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Online Access: | http://eprints.usm.my/62883/ http://eprints.usm.my/62883/1/2-%2000001792286.pdf |
| Summary: | The 2-d electrical resistivity imaging measured resistivity distribution at the
subsurface. Improvement in 2-d resistivity data quality was carried out by the data
levels amalgamation (dla) technique which is based on overlapping data levels with
two different arrays combination. The first study objective is to develop the numerical
comparative assessment for individual array and the dla technique of two different
arrays. The second objective is to improve resolution using the dla technique on two
different arrays. The final objective is to validate the dla technique of two different
arrays. In order to achieve all three objectives, the study was carried out in three
different phases. The first phase involved 2-d computerized models or namely
synthetic models and a field model are presented. Five different synthetic models are
created and used to investigate the imaging capabilities using four different arrays. In
second phase, the numerical comparative assessment is introduced for the individual
array and the dla technique. The two best and suitable arrays were determined based
on the numerical comparative analysis results. In phase three, validation of the dla
technique using two best and suitable arrays are applied to the actual field surveys.
Based on the numerical comparative assessment for both 2-d computerized models
and a field model, it shows that the dla technique of pole-dipole (p-d) and wenner-
schlumberger (w-s) arrays are able to provide good data quality of image. |
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