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Abstract

SEM Automated Mineralogy (SEM-AM) is an analytical system based on a scanning electron microscope (SEM) with backscattered electron detector and an energy dispersive X-ray spectrometer (EDS). This automated tool enables to quantify mineralogy, size and geometry of solid matter components. The paper presents a SEM-AM application in detection of mineralogical and textural sediment sorting on the example of a submarine gravity flow record from the Cergowa sandstones (Lower Oligocene) in the Polish Outer Carpathians. Analysis of high quality backscattered electron (BSE) imagery in combination with EDX spectra discriminates mineral phases in polished samples. These data are then processed by the mineral liberation analysis (MLA) software in order to extract size and shape information, and combine, compare and group components for further examination. Automated data extraction provides highly representative measurement statistics devoid of manual work bias. The Cergowa sandstones were prepared for the analysis as non-granular samples in coated thin sections and granular samples in epoxy mounts. The former samples provide mineralogical data whereas the latter additionally generate textural parameters, both essential in interpretation of variability of flow competence. Comparisons between samples from an individual bed and between different beds of the measured sections give insights into the spatial and temporal flow development at a given locality. On the other hand, a comparison of different sections and regions of the formation will provide basis for the reconstruction of submarine flow events throughout the sedimentary basin and contribute to the characterisation of the provenance areas. Highly detailed quantitative data generated by this procedure have great potential in helping to recognise complex relationships between mineralogical and textural sorting by depositional processes.
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Authors and Affiliations

Joanna Pszonka
1
ORCID: ORCID
Bernhard Schulz
2
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Kraków, Poland
  2. Freiberg University of Mining and Technology, Department of Economic Geology and Petrology, Germany

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