1. Comparing optical and Raman spectroscopic investigations of phytoclasts and sporomorphs for thermal maturity assessment: the case study of Hettangian continental facies in the Holy cross Mts. (central Poland)
- Author
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Andrea Schito, Sveva Corrado, Claudia Romano, Amalia Spina, Simonetta Cirilli, Schito, A., Spina, A., Corrado, S., Cirilli, S., and Romano, C.
- Subjects
010504 meteorology & atmospheric sciences ,Stratigraphy ,Geochemistry ,Thermal maturity, Raman spectroscopy, Palynomorph Darkness Index, Multivariate data analysis ,010502 geochemistry & geophysics ,Oceanography ,01 natural sciences ,Sedimentary depositional environment ,symbols.namesake ,Stage (stratigraphy) ,Group (stratigraphy) ,Organic matter ,Thermal maturity ,Multivariate data analysis ,0105 earth and related environmental sciences ,chemistry.chemical_classification ,Maturity (geology) ,Geology ,Palynomorph Darkness Index ,Palynofacies ,Geophysics ,chemistry ,Facies ,Raman spectroscopy ,symbols ,Economic Geology - Abstract
Thermal maturity of six organic rich samples from Jurassic continental successions cropping out in the Holy Cross Mountains in Central Poland, has been characterized by classic thermal maturity indicators, micro-Raman spectroscopy and Palynomorph Darkness Index, in order to create a multi-method workflow for complex palynofacies thermal maturity assessment. Transmitted light observations on dispersed organic matter define a Hettangian lacustrine depositional environment, characterized by periods of reducing/oxidizing conditions and variable sedimentation rates. Thermal maturity detected by classical maturity indicators and PDI indicates an early maturation stage of hydrocarbon generation and is in agreement with spectroscopic analyses performed on phytoclast groups. Moreover, Raman parameters in the sporomorph group indicate a systematic shift toward a lower degree of aromatization compared to the phytoclast group. Finally, the multivariate statistical analysis performed on Raman spectra is found to be a promising tool to define and predict the heterogeneity of dispersed organic matter in sediments.
- Published
- 2019