Infrared spectroscopy and chemometric modelling of organic carbon measured by Rock-Eval pyrolysis of UK shale rock

Beriro, Darren J.; Vane, Christopher H. ORCID: https://orcid.org/0000-0002-8150-3640. 2022 Infrared spectroscopy and chemometric modelling of organic carbon measured by Rock-Eval pyrolysis of UK shale rock. In: Emmings, J.F., (ed.) The Bowland Shale Formation, UK: processes and resources. London, UK, Geological Society of London. (Geological Society Special Publication, 534, 534).

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Official URL: http://dx.doi.org/10.1144/SP534-2021-67

Abstract/Summary

Shale rock core from the Bowland Shale Formation, UK was analysed in the laboratory using Rock-Eval(6) pyrolysis and Fourier Transform Infrared Spectroscopy (FTIR). These methods are used to characterise the organic constituents of soil and rock. This research is a proof-of-concept study to investigate whether regression models developed using FTIR and Rock-Eval data for the same length of core can be used to estimate selected Rock-Eval parameters. The accuracy of the regression models was assessed using statistical methods, the results of which were used to choose preferred models for each Rock-Eval parameter. Models produced were shown to have an acceptable level of uncertainty for Total Organic Carbon, S1, S2 and S3 outputs which led us to conclude these are potentially suitable for estimating unknown down-core Rock-Eval parameter values. Conversely, the Tmax model had a higher variability in the cross-validation data above the acceptable level of uncertainty which could lead to erroneous estimates. Down-core interpolations of selected Rock-Eval parameters could be practically achieved by modelling FTIR data by maintaining standard sample frequencies for Rock-Eval while supplementing with higher frequencies for FTIR and chemometric analysis.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	https://doi.org/10.1144/SP534-2021-67
ISSN:	0305-8719
Date made live:	09 Jan 2023 14:18 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533844

Item Type:

Publication - Book Section

Digital Object Identifier (DOI):

https://doi.org/10.1144/SP534-2021-67

ISSN:

0305-8719

Date made live:

09 Jan 2023 14:18 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/533844