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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Application of Big Data Analysis in Choosing Optimal Cross-plots Related to Dibenzofuran Compounds
verfasst von : Bingkun Meng, Lu Yang, Chunmiao Ma
Erschienen in: Big Data Analytics for Cyber-Physical System in Smart City
Verlag: Springer Singapore
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Abstract
In this paper, the distribution of methyl dibenzofuran isomers (MDBFs) in petroleum hydrocarbon samples of different ages and sedimentary environments were analyzed by the GC-MS method and relevant software. Relevant parameters of MDBFs were put into several cross-plots that have been studied and can reflect the origin of petroleum hydrocarbon. The results show that the diagram of pristane/phytane (Pr/Ph) - dibenzothiophene/phenanthrene (DBT/P) and the diagram of Pr/Ph - alkyl dibenzothiophene/alkyl dibenzofuran (ADBT/ADBF) cannot distinguish shale derived from marine and lacustrine shale. Whereas the diagram of Pr/Ph - (1 + 4)-/(2 + 3)-MDBF can effectively distinguish. the sedimentary environments and lithologic characteristics of samples. The results show that the diagram of Pr/Ph versus (vs.) (1 + 4)-/(2 + 3)-MDBF are more suitable to reflect the sedimentary environment and lithologic characteristics of organic matters. The method of big data processing can effectively optimize geochemical information.