烃源岩可溶烃、热解烃、总有机碳含量与光谱指数相关性研究

doi:10.3964/j.issn.1000-0593(2020)04-1001-06

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Abstract The total organic carbon content (TOC), soluble hydrocarbon content (S1) and pyrolysis hydrocarbon content (S2) of source rocks are important indicators for the study and evaluation of source rocks. In the past, they were mainly obtained through laboratory analysis, and the timeliness could not be guaranteed. In order to explore the feasibility of rapid measurement of these indicators in the field, this study collected 10 hydrocarbon source rock samples from the qilakum block in uzbekistan, and measured the visible light-near infrared-short wave infrared (vis-nir-swir) reflectance spectrum and content parameters of TOC, S1 and S2 of the samples respectively by using the ground ASD spectrometer and carbon and sulfur analyzer. The first derivative and second derivative of the reflectance spectrum of the sample were obtained by spectral fitting differential. The correlation between these data and the contents of TOC, S1 and S2 was studied by using linear regression equation fitting and statistical analysis of fitting results. The results show that S1 content of source rocks was correlated with the original spectrum, the first derivative of the spectrum and the second derivative of the spectrum in 1 973, 511 and 239 bands, respectively. The absolute value of the correlation coefficient was 0.612, 0.823 and 0.889, respectively. The correlation degree was weak, strong and strong, respectively. S2 content in source rocks was correlated with 2, 144 and 205 bands of the original spectrum, the first derivative of the spectrum and the second derivative, respectively. The absolute value of the correlation coefficient was 0.561, 0.867 and 0.926, respectively. The correlation degree was weak, strong and extremely strong, respectively. There was no correlation between the TOC content of source rocks and the original spectrum, and it was correlated with 18 and 180 bands of the first and second derivatives of the spectrum, respectively. The absolute value of the correlation coefficient was 0.882 and 0.879, respectively. The correlations were extremely strong. In addition, the best fitting degree of S1 content and the second derivative of spectrum at the band of 2 012 nm was 0.790. The best fitting degree of S2 content and the second derivative of spectrum at the band of 363 nm was 0.858. The best fitting degree of TOC content and the first derivative of spectrum at the band of 2 480 nm was 0.777. This study lays an important foundation for in-situ detection of source rocks in the field.

Key words：Source rock; Vis-NIR-SWIR spectrum; Total organic carbon content; Soluble hydrocarbon content; Pyrolysis hydrocarbon content; Petroleum evaluation; Correlation; Hydrocarbon evaluation

Received: 2019-03-02 Accepted: 2019-06-15

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2020)04-1001-06 OR https://www.gpxygpfx.com/EN/Y2020/V40/I04/1001

[1] WANG Peng-wei, SHEN Zhuo-heng, JIN Zhi-jun, et al(王鹏威，谌卓恒，金之钧，等). Earth Science（地球科学）, 2019, 44(2): 504.
[2] SHI Jun, ZOU Yan-rong, YU Jiang, et al(石军，邹艳荣，余江，等). Natural Gas Geoscience（天然气地球科学）, 2018, 29(8): 1138.
[3] ZENG Wei-zhu, SONG Zhi-guang, CAO Xin-xing (曾维主，宋之光，曹新星). Geochimica（地球化学）, 2018, 47(4): 345.
[4] CHEN Jian-ping, LI Wei, NI Yun-yan, et al(陈建平，李伟，倪云燕，等). Natural Gas Industry（天然气工业）, 2018, 38(6): 33.
[5] WANG Zhi-hong，LIU Jie，WANG Jing-ru，et al(王智宏，刘杰，王婧茹，等). Journal of Jilin University·Engineering Edition（吉林大学学报·工学版）, 2013, 43(4): 1017.
[6] CHENG Ke-ming, JIN Wei-ming, HE Zhong-hua（程克明，金伟明，何忠华）. Chinese Science Bulletin（科学通报）, 1985，(6): 448.
[7] FENG Lang, XU Juan（冯朗，徐娟）. China Coal Geology（中国煤炭地质）, 2018, 30(9): 67.
[8] XU Bai-xiang（徐百祥）. NEI JIANG KE JI(内江科技), 2018, 39(8): 19.
[9] CHEN Hao, LIU Luo-fu, DOU Wen-chao, et al(陈浩，刘洛夫，窦文超，等). Progress in Geophysics(地球物理学进展), 2019, 34(3): 1017.
[10] Qiu Junting, Zhang Chuan, Yu Zhangfa, et al. Computers & Geosciences, 2017, 106: 68.
[11] Qiu Junting, Qi Hui, Duan Jilin. Minerals, 2017, 7(3): 1.
[12] Qiu Junting, Zhang Chuan, Xu Qinjun, et al. Remote Sensing Letters, 2017, 8(9): 859.
[13] Yang Heming, Qiu Junting, Yu Li, et al. Studies in Conservation, 2019, 64(2): 63.
[14] LIU Wen-bin, JI Jun-feng, BIAN Li，et al(刘文斌，季峻峰，边立，等). Petroleum Exploration and Development(石油勘探与开发), 2003, (2): 112.
[15] WANG Zhi-hong, ZHANG Fu-dong, TENG Fei, et al(王智宏，张福东，滕飞，等). Optics and Precision Engineering(光学精密工程), 2015, 23(2): 371.
[16] Qiu Junting, Li Pengju, Yu Zhangfa, et al. Geoheritage, 2015, 7(4): 307.
[17] Qiu Junting, Zhang Chuan, Hu Xiao. Remote Sensing, 2015, 7(10): 13878.