The application of chemometrics in oil-oil and oil-source rock correlations:Current situation and future prospect
Received date: 2017-12-15
Revised date: 2018-01-31
Online published: 2018-04-10
Chemometrics has unique advantages in comprehensive consideration of the influence of multiple parameters and division of the species category of samples or variables,especially for data mining of large data sets and regional oil-oil and oil-source correlation.This paper introduces in detail two commonly used chemometric oil-oil and oil-source correlation methods,hierarchical cluster analysis (HCA) and principal component analysis (PCA) as well as the newly introduced research method-multidimensional scaling (MDS),and a detailed comparison and discussion of the principles and scope of these methods.In terms of application chemometric methods to geochemical correlation,we need to be cautious about sample screening,the choice of correlation parameters,data preprocessing,and the selection of high-dimensional spatial distances between samples,because this is directly related to the reliability of the correlation results.
Key words: Chemometrics; Biomarker; Oil-oil correlation; Oil-source rock correlation
Wang Yao-ping,Zou Yan-rong,Shi Jian-ting,Shi Jun . The application of chemometrics in oil-oil and oil-source rock correlations:Current situation and future prospect[J]. Natural Gas Geoscience, 2018 , 29(4) : 452 -467 . DOI: 10.11764/j.issn.1672-1926.2018.01.016
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