A Predictive Model for Maceral Discrimination by Means of Raman Spectra on Dispersed Organic Matter: A Case Study from the Carpathian Fold-and-Thrust Belt (Ukraine)

Andrea Schito*, Alexandra Guedes, Bruno Valentim, Amanda Vergara Sassarini, Sveva Corrado

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we propose a predictive model for maceral discrimination based on Raman spectroscopic analyses of dispersed organic matter. Raman micro-spectroscopy was coupled with optical and Rock-Eval pyrolysis analyses on a set of seven samples collected from Mesozoic and Cenozoic successions of the Outer sector of the Carpathian fold and thrust belt. Organic petrography and Rock-Eval pyrolysis evidence a type II/III kerogen with complex organofacies composed by the coal maceral groups of the vitrinite, inertinite, and liptinite, while thermal maturity lies at the onset of the oil window spanning between 0.42 and 0.61 Ro%. Micro-Raman analyses were performed, on approximately 30–100 spectra per sample but only for relatively few fragments was it possible to perform an optical classification according to their macerals group. A multivariate statistical analysis of the identified vitrinite and inertinite spectra allows to define the variability of the organofacies and develop a predictive PLS-DA model for the identification of vitrinite from Raman spectra. Following the first attempts made in the last years, this work outlines how machine learning techniques have become a useful support for classical petrography analyses in thermal maturity assessment.
Original languageEnglish
Article numbere213
Number of pages19
JournalGeosciences
Volume11
Issue number5
Early online date14 May 2021
DOIs
Publication statusPublished - 14 May 2021

Keywords

  • Raman spectroscopy
  • dispersed organic matter
  • vitrinite reflectance
  • principal component analysis
  • partial least square discriminant analysis
  • machine learning

Fingerprint

Dive into the research topics of 'A Predictive Model for Maceral Discrimination by Means of Raman Spectra on Dispersed Organic Matter: A Case Study from the Carpathian Fold-and-Thrust Belt (Ukraine)'. Together they form a unique fingerprint.

Cite this