Quantitative Determination of the Proportion of Mixed Crude Oil with Different Maturity by Fluorescence Spectra: Take a Case of the ES4 oil in the Dongying Depression
ZHANG Han-jing1, 2, CHEN Yong1, 2*, WANG Miao1, 2, WANG Xue-jun3, ZHAO Zhen-yu4, LIU Qing3, ZHANG Xue-jun3, LI Ping3, HAN Dong-mei3
1. Key Laboratory of Deep Oil and Gas (China University of Petroleum (East China)), Qingdao 266580, China
2.Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
3. Research Institute of Shengli Oilfield Exploration and Development, Dongying 257015, China
4. Petro China Research Institute of Science and Technology Research, Beijing 100083, China
Abstract：The quantitative analysis of the proportion of mixed source oil is of great significance to the determination of the contribution of oil source in different accumulation periods. In order to establish a fast and effective method to determine the contribution of mixed oil, micro-fluorescence spectroscopy was addressed to quantitatively determine relative contribution. Taking Wangjiagang area in the Dongying Depression as an example, biomarkers, including Gammacerane/C30Hoxane, Ts/(Tm+Ts), Ts/Tm and C2920S/(20S+20R), are used to fine classification of petroleum groups and oil source correlation of Es4 crude oil, and the type and maturity of crude oil are constrained. The mature(from well X1) and low-mature(from well X2) crude oil from the upper Es4 in the Dongying Depression were selected as two typical end members for mixing experiment. On the basis of verifying the reliability of components of the end member, the mass proportions of mixed oil(X1∶X2) are respectively 0∶10, 2∶8, 4∶6, 6∶4, 8∶2 and 10∶0. The relationships of maturity of mixed crude oil, contribution of end member and fluorescence spectrum parameters were analyzed. The results show that the fluorescence spectra of end-component are mainly three-peak type, and the mixed crude oil inherits the spectral spectrum shape features of end-component. The fluorescence color of mixed oil was obviously different. According to analysis of quantitative coefficient of fluorescence color(CIE-X，CIE-Y), the CIE chromaticity diagram shows nearly-linear changeof fluorescence color. With the increase of the amount of ES4 mature crude oil, the aromatic hydrocarbon content in the mixed oil decreased, and the fluorescence intensity also decreased, and the fluorescence color showed a significant blue shift. The fluorescence spectrum parameters(QF-535, fluorescence intensity at 567 nm, ratio of red to green, ratio of yellow to green) and the mixing proportion showed a good linear relationship, which could reflect the maturity of crude oil. As the maturity of mixed oil increases, the content of macromolecular hydrocarbons decreases, so the fluorescence spectrum parameters become small. The mathematical relation established by the mixing experiment can be used to identify the mixture ratio quantitatively, so as to determine the contribution of end member oil. This experiment can prove that these spectral parameters of fluorescence are effective to quantitatively characterize the contribution of end-member in mixed oil.
张韩静，陈 勇，王 淼，王学军，赵振宇，刘 庆，张学军，黎 萍，韩冬梅. 荧光光谱定量表征不同成熟度的同源混合原油——以东营凹陷沙四段为例[J]. 光谱学与光谱分析, 2019, 39(11): 3414-3419.
ZHANG Han-jing, CHEN Yong, WANG Miao, WANG Xue-jun, ZHAO Zhen-yu, LIU Qing, ZHANG Xue-jun, LI Ping, HAN Dong-mei. Quantitative Determination of the Proportion of Mixed Crude Oil with Different Maturity by Fluorescence Spectra: Take a Case of the ES4 oil in the Dongying Depression. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3414-3419.
[1] ZHU Jing-xiu, XIONG Chao, LIU Gui-lan, et al（朱景修，熊 超，刘桂兰，等）. Petroleum Geology & Oilfield Development in Daqing（大庆石油地质与开发）, 2011, 30(4): 5.
[2] GUO Rui-chao, SUI Feng-gui, ZENG Zhi-ping, et al（郭瑞超, 隋风贵, 曾治平, 等）. Petroleum Geology & Experiment（石油实验地质）, 2016, 38(5): 679.
[3] Francis Alarcon, Maria E Baez, Manuel Bravo, et al. Talanta, 2013, 103: 361.
[4] Wang Jianyao, Wu Hailong, Sun Yanmei, et al. Journal of Chromatography B, 2014, 947-948: 32.
[5] Valderrama P, Maro P H, Locquet N, et al. Chemometrics and Intelligent Laboratory Systems, 2011, 106(2): 166.
[6] CHANG Xiang-chun, XUE Sheng-tong, CUI Jing, et al（常象春, 薛圣同, 崔 晶, 等）. Journal of Shandong University of Science and Technology·Natural Science（山东科技大学学报·自然科学版）, 2016, 35(4): 21.
[7] SHEN Hai-dong, BAI Yu-hong, ZHENG Hua（沈海东，白玉洪，郑 华）. Offshore Oil（海洋石油）, 2017, 37(2): 61.
[8] Kumar K, Mishra A K. Talanta, 2013, 117: 209.
[9] Radke M, Welte D H, Willsch H. Geochimica Et Cosmochimica Acta, 1982, 46(1): 1.
[10] Jones R W. Nature, 1978, 275(5680): 567.
[11] Khorasani G K. Organic Geochemistry, 1987, 11(3): 157.
[12] Wang C, Shi X, Li W, et al. Mar. Pollut. Bull., 2016, 104: 322.
[13] Zhou Z, Guo L, Shiller A M, et al. Mar. Chem., 2013, 148: 10.
[14] YE Shao-dong, QIAN Shi-you, LI Xing-li（叶绍东, 钱诗友, 李兴丽）. Petroleum Geology & Experiment（石油实验地质）, 2015, 37(6): 770.
[15] Su A, Chen H H, He C, et al. Spectroscopy & Spectral Analysis, 2016, 36(9): 3039.
[16] LI Jun, LIU Ru-jia, LI Lian-shan, et al（李 军，刘茹佳，李连山，等）. Chinese Journal of Radiological Health（中国辐射卫生）, 2016, 25(3): 352.
