Multivariate analysis relating oil shale geochemical properties to NMR relaxometry

Energy & Fuels
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Abstract

Low-field nuclear magnetic resonance (NMR) relaxometry has been used to provide insight into shale composition by separating relaxation responses from the various hydrogen-bearing phases present in shales in a noninvasive way. Previous low-field NMR work using solid-echo methods provided qualitative information on organic constituents associated with raw and pyrolyzed oil shale samples, but uncertainty in the interpretation of longitudinal-transverse (T1T2) relaxometry correlation results indicated further study was required. Qualitative confirmation of peaks attributed to kerogen in oil shale was achieved by comparing T1Tcorrelation measurements made on oil shale samples to measurements made on kerogen isolated from those shales. Quantitative relationships between T1T2 correlation data and organic geochemical properties of raw and pyrolyzed oil shales were determined using partial least-squares regression (PLSR). Relaxometry results were also compared to infrared spectra, and the results not only provided further confidence in the organic matter peak interpretations but also confirmed attribution of T1T2 peaks to clay hydroxyls. In addition, PLSR analysis was applied to correlate relaxometry data to trace element concentrations with good success. The results of this work show that NMR relaxometry measurements using the solid-echo approach produce T1T2 peak distributions that correlate well with geochemical properties of raw and pyrolyzed oil shales.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Multivariate analysis relating oil shale geochemical properties to NMR relaxometry
Series title Energy & Fuels
DOI 10.1021/ef502828k
Volume 29
Issue 4
Year Published 2015
Language English
Publisher American Chemical Society
Contributing office(s) Central Energy Resources Science Center
Description 10 p.
First page 2234
Last page 2243
Online Only (Y/N) N
Additional Online Files (Y/N) N