A Novel Method to Develop Chemostratigraphy Using X-Ray Fluorescence Spectral Raw Data

Chemostratigraphy has become a powerful correlation tool for identifying strata where other traditional stratigraphic methods fail. This is largely due to its ability to capture subtle variations in rather homogenously looking sedimentary rock formations or in rocks lacking biostratigraphic markers. In this study, we compared two multivariate statistical analysis by extract high-resolution stratigraphic information from a major elemental dataset acquired using MicroXRF for three Paleozoic formations in Saudi Arabia. Our main goal was to demonstrate the efficiency and reproducibility of the statistical protocol for the identification of correlatable chemozones within highly homogenous formations.