An Atr-Ftir Procedure for Quantitative Analysis of Mineral Constituents and Kerogen in Oil Shale

Abstract

Principal component regression (PCR) was used to develop calibration and prediction models for determination of mineral content of complex mineral mixtures by utilizing attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectra. The typical constituents of oil shale such as dawsonite, nahcolite, quartz, dolomite, illite, albite, analcime, and kerogen were used to prepare samples to record mid-infrared (IR) spectra. The specified values of dawsonite, nahcolite, quartz, dolomite and kerogen were in good agreement with measured data.

Development of far-infrared attenuated total reflectance spectroscopy for the mineralogical analysis of shales

“…The results of the fits are summarized in Table 3 and it can be seen that the errors for some of the minerals are reasonable while in other cases considerable improvements are needed. The values for RMSEC and RMSECV obtained are generally higher than values found in the literature for related studies [18,53]. In addition the RMSEP values are quite high, especially for smectite.…”

“…Some IR absorption bands (i.e., SiAO stretch) that typically occur in many different mineral groups (i.e., silicates, clays) are broad and overlap with each other and this makes quantitative analysis extremely challenging. Multivariate methods have been developed to help improve the discrimination and quantification of many different mineral components [9,17,18]. However, the information generated from the IR spectra in heterogeneous materials can be complicated by various factors such as sample preparation and particle size effects [19].…”

Analysis, occurrence, and reactions of dawsonite in AMSO well CH-1

“…Elemental composition derived from the FTIR method agreed well with that from chemical analysis. A similar method for FTIR analysis of oil shale including dawsonite has been published by others [16].…”

Application of attenuated total reflectance Fourier transform infrared spectroscopy in the mineralogical study of a landslide area, Hungary

“…The intensity of characteristic absorption bands is usually related to the concentrations of the absorbing specie, through the Beer-Lambert law. Therefore recently a few studies have attempted the quantitative application of ATR FTIR for economically important sediments (e.g., Adamu, 2010;Palayangoda and Nguyen, 2012;Washburn and Birdwell, 2013).…”

“…Chemtob et al (2010) revealed that absorbance is strongly grain size dependent where intensity increases with decreasing grain size. Therefore, the preparation of samples with small and homogeneous grain size is a key factor for more accurate quantitative ATR FTIR analysis (Palayangoda and Nguyen, 2012).…”