Journal
ORGANIC GEOCHEMISTRY
Volume 102, Issue -, Pages 1-13Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.orggeochem.2016.09.008
Keywords
Fangzheng Fault Depression; Biomarkers; Oil-source rock correlation; Multidimensional scaling; Principal component analysis
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Funding
- Natural Science Funding Council of China [41273059, 41173054]
- GIGCAS 135 project [Y234021001]
- State Key Laboratory of Organic Geochemistry [sklog2012A02]
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One hundred and twenty-five rock and oil samples collected from the Fangzheng Fault Depression were analyzed by GC-MS. Principal component analysis (PCA) and multidimensional scaling (MDS) based on nine biomarker ratios were used for oil-source rock correlation in this region. The oils are characterized by a predominance of low to middle molecular weight normal alkanes (n-C-12-n-C-20 or n-C-12-n-C-25), moderate to high Pr/Ph ratios (1.44-5.3), relatively low C-27/C-29 regular steranes, C-35/C-34 hopanes and gammacerane/C31R ratios, all of which suggest relatively oxic conditions under fresh water depositional conditions with significant terrigenous organic matter input. PCA and MDS results show that the investigated oils were derived mainly from the Xinancun-Wuyun Formation and also illustrate the maturation and depositional conditions of the rocks and oils through an MDS plot. We show that MDS is a reliable, multi-parameter oil-source rock correlation method. (C) 2016 Elsevier Ltd. All rights reserved.
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