Unmixing of mixed oil using chemometrics

被引：38

作者：

Zhan, Zhao-Wen ^{[1
,2
]}

Zou, Yan-Rong ^{[1
]}

Shi, Jian-Ting ^{[1
,2
]}

Sun, Jia-Nan ^{[1
,2
]}

Peng, Ping'an ^{[1
]}

机构：

[1] Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 10039, Peoples R China

来源：

ORGANIC GEOCHEMISTRY | 2016年 / 92卷

关键词：

Mixed oil; Unmixing; Chemometrics; Alternating least square; MULTIPLE SOURCE ROCKS; TYPICAL CRUDE OILS; PETROLEUM SYSTEMS; NORTHWEST CHINA; JUNGGAR BASIN; FIELD; BIOMARKERS; CALIFORNIA; FAMILIES; RESERVOIRS;

D O I：

10.1016/j.orggeochem.2015.11.006

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

In this study, chemometrics was used to unmix a set of oil samples that had been mixed in the laboratory using three end-member oils. It was shown that the concentrations of individual compounds in the mixed oil varied linearly with the fractional contribution of each end-member oil. However, biomarker ratios in the mixed oils varied non-linearly with the amount of each end-member oil. This study demonstrates that concentrations and ratios of biomarkers yield different results when de-convoluting mixed oils. Concentrations of biomarkers are therefore more suitable than the biomarker ratios for unmixing mixed oils. Alternating least squares of biomarker concentrations (ALS-C) provides an excellent way to calculate the number, proportions, and compound compositions of the end-members in mixed oil samples. The ALS-C results are accurate, regardless of whether end-member oils are included in the sample set. The biomarker ratios of end-member oils cannot be directly obtained by ALS, but can instead be calculated using related compound concentrations computed by ALS-C. This method should be applied and verified widely using actual geochemical data. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1 / 15

页数：15

共 30 条

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