The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 63–65, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-63-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 63–65, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-63-2017

  13 Nov 2017

13 Nov 2017

APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS TO BIOMARKERS IN SE-TURKEY CRUDE OILS

K. Gürgey and S. Canbolat K. Gürgey and S. Canbolat
  • Department of Petroleum and Natural Gas Engineering Near East University, Near East Avenue, 99138, Nicosia, Mersin 10, Turkey

Keywords: Geostatistics, Biomarker, Terpane, Crude oil, SE-Turkey

Abstract. Twenty-four crude oil samples were collected from the 24 oil fields distributed in different districts of SE-Turkey. API and Sulphur content (%), Stable Carbon Isotope, Gas Chromatography (GC), and Gas Chromatography-Mass Spectrometry (GC-MS) data were used to construct a geochemical data matrix. The aim of this study is to examine the genetic grouping or correlations in the crude oil samples, hence the number of source rocks present in the SE-Turkey. To achieve these aims, two of the multivariate statistical analysis techniques (Principle Component Analysis [PCA] and Cluster Analysis were applied to data matrix of 24 samples and 8 source specific biomarker variables/parameters. The results showed that there are 3 genetically different oil groups: Batman-Nusaybin Oils, Adıyaman-Kozluk Oils and Diyarbakir Oils, in addition to a one mixed group. These groupings imply that at least, three different source rocks are present in South-Eastern (SE) Turkey. Grouping of the crude oil samples appears to be consistent with the geographic locations of the oils fields, subsurface stratigraphy as well as geology of the area.