Hydrocarbon (HC) microseepages can be indicator of possible reservoirs. For that
reason, mapping the microseepages has potential to be used in petroleum exploration.
This study presents a methodology for mapping HC microseepages and related clay
mineral alteration in Gemrik Anticline, Adiyaman. For this purpose samples were
collected from the potential seepage zones and tested by geochemical analysis. All
samples were found to contain some HC. Then, an ASTER image of the region was
obtained and a band combination was generated to map this particular region. To
map related clay mineral alteration, firstly reflectance spectra of samples were
measured using field spectrometer. Secondly, spectrally-known samples were
analyzed in USGS Library to determine the reflectance spectra of the constitutional
clay minerals in the samples. Lastly, the reflectance characteristics of selected end
v
members were represented as ASTER band combinations based on their spectral
absorption characteristics and literature information. Crosta Technique was used to
determine required principal components to map HC microseepage and related clay
mineral alteration. Then, this methodology is applied to the whole ASTER image.
Ground truth study showed that more than 65% of the revisited anomalies show
similar prospects to that of the referenced anticline regardless of their geochemical
content. In order to certify the ASTER band combination for mapping HC
microseepages, anomalous and non-anomalous pixels were selected from the
resultant HC map and given as training data samples to AdaBoost loop which is an
image processing algorithm. It has been found that ASTER band combination
offered for mapping HC microseepages is similar to that of AdaBoost Algorithm
output.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12612639/index.pdf |
| Date | 01 September 2010 |
| Creators | Avcioglu, Emre |
| Contributors | Duzgun, Sebnem |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | Access forbidden for 1 year |
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