Application of Multivariate Statistical Analysis to Biomarkers in Se-turkey Crude Oils
Kadir Gürgey, Serhat Canbolat · 2017
Abstract
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.
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Citation
APA 7
Gürgey, K., & Canbolat, S. (2017). Application of Multivariate Statistical Analysis to Biomarkers in Se-turkey Crude Oils. The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, XLII-4/W6, 63-65. https://doi.org/10.5194/isprs-archives-xlii-4-w6-63-2017
bibtex
@article{applicationofmultivariatestati2017,
title = {{Application of Multivariate Statistical Analysis to Biomarkers in Se-turkey Crude Oils}},
author = {Gürgey, Kadir and Canbolat, Serhat},
year = {2017},
journal = {{The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences}},
volume = {XLII-4/W6},
pages = {63-65},
publisher = {{Copernicus Publications}},
doi = {10.5194/isprs-archives-xlii-4-w6-63-2017}
} ris
TY - JOUR AU - Gürgey, Kadir AU - Canbolat, Serhat TI - Application of Multivariate Statistical Analysis to Biomarkers in Se-turkey Crude Oils PY - 2017 JO - The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences VL - XLII-4/W6 SP - 63 EP - 65 PB - Copernicus Publications DO - 10.5194/isprs-archives-xlii-4-w6-63-2017 ER -
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