Application of Big Data Analysis in Choosing Optimal Cross-plots Related to Dibenzofuran Compounds

Application of Big Data Analysis in Choosing Optimal Cross-plots Related to Dibenzofuran Compounds

Crude oil

Gasoline

Big data

Geochemistry

Petroleum prospecting

Sedimentology

Petroleum geology

Data handling

Isomers

Pristane

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. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

389-394

1303

Meng, Bingkun

Yang, Lu

Ma, Chunmiao

2nd Big Data Analytics for Cyber-Physical System in Smart City, BDCPS 2020, December 28, 2020 - December 29, 2020

2021

conferencePaper

21945357

10.1007/978-981-33-4572-0_57

http://dx.doi.org/10.1007/978-981-33-4572-0_57