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Source diagnostic and weathering indicators of oil spills utilizing bicyclic sesquiterpanes
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作者 WANG Chuanyuan HU Xiaoke +2 位作者 HE Shijie LIU Xin ZHAO Mingming 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2013年第8期79-84,共6页
Bicyclic Sesquiterpanes (BSs) are ubiquitous components of crude oils and ancient sediments. BSs in crude oils and diesel oil were identified and characterized, the effects of moderate weathering on BS distributions... Bicyclic Sesquiterpanes (BSs) are ubiquitous components of crude oils and ancient sediments. BSs in crude oils and diesel oil were identified and characterized, the effects of moderate weathering on BS distributions were discussed, and a methodology using diagnostic indices of BSs was developed for oil correlation and dif- ferentiation. The results showed that crude oils and oil products had different abundances and distributions of BSs and, consequently, resulted in different diagnostic ratios. The selected diagnostic ratio indices of BSs, such as BS4/BS5 (ratio of 4,4,8,9,9-pentamethyl-decahydronaphthalene to 8/3 (H)-drimane), BS6/BS5 (ratio of 4,4,9,9,10-pentamethyl-decahydronaphthalene to 8/3 (H)-drimane), BS8/BS9 (ratio of the second peak to the third peak of C16 sequiterpane), and BS8/BSIO (ratio of C16 sequiterpane to 8fl (H)-homodrimane), still maintained better stabilities (%RSD 〈 5%) after weathering for 30 d. The longer weathering process (150 d) had some effect on such ratios (5% 〈 %RSD 〈 10%). The facts of the uniqueness, abundance in petroleum, and chemical stability of BSs enable them to be suitable as an effective diagnostic means for identifying spilled oil with moderate weathering, particularly for lighter refined product samples that are difficult to identify by current techniques. 展开更多
关键词 bicyclic sesquiterpanes distribution diagnostic indices WEATHERING oil spill source identifica-tion
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Establishment and application of an intelligent treating method for oil spill identification
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作者 TAN Liju ZHAO Ruxiang +2 位作者 YIN Xiaonan ZHANG Haijiang WANG Jiangtao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2018年第11期116-122,共7页
In the identifying process of an oil spill accident, manual integral and artificial visual comparison are commonly used at present to determine the oil spill sources, these methods are time-consuming and easily affect... In the identifying process of an oil spill accident, manual integral and artificial visual comparison are commonly used at present to determine the oil spill sources, these methods are time-consuming and easily affected by human factors. Therefore, it is difficult to achieve the purpose of rapid identification of an oil spill accident. In this paper, an intelligent method of automatic recognition, integration and calculation of diagnostic ratio of Gas Chromatography-Mass Spectrometer (GC/MS) spectrum are established. Firstly, four hundreds of samples collected around the world were analyzed using a standard method and Retention time locking technology (RTL) was applied to reduce the change of retention time of GC/MS spectrum. Secondly, the automatic identification, integration of n-alkanes, biomarker compounds, polycyclic aromatic hydrocarbons and calculation of the diagnostic ratios were realized by MATLAB software. Finally, a database of oil fingerprints were established and applied successfully in a spill oil accident. Based on the new method and database, we could acquire the diagnostic ratios of an oil sample and find out the suspected oil within a few minutes. This method and database can improve the efficiency in spilled oil identification. 展开更多
关键词 oil fingerprint automatic identification diagnostic ratio standardized database oil spills sources
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