The relationship between micro-Raman spectral parameters and reflectance of solid bitumen

Zhou, Qinling; Xiao, Xia; Pan, Lei; Tian, Hui

doi:10.1016/j.coal.2013.10.013

Cited by 113 publications

(84 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Disorder (D) and Graphite (G) bands of bitumen are shown in the green trace, with principal peaks at 1311 and 1604 cm −1 respectively. These bands are directly related to carbonaceous materials which are red shifted with increasing bitumen maturity [42][43][44]. The blue spectrum shows the peaks originating from the surrounding lighter fraction with an overlay of peaks originating from the quartz host material (1100-1450 cm −1 ).…”

Section: Confocal Laser Raman Microscopy (Clrm) Of Type 2 Fluid Inclumentioning

confidence: 99%

Quartz-Amethyst Hosted Hydrocarbon-Bearing Fluid Inclusions from the Green Ridge Breccia in the Snoqualmie Granite, North Cascades, WA, USA

et al. 2017

View full text Add to dashboard Cite

Abstract:The Green Ridge Breccia cuts the composite Miocene Snoqualmie Batholith in King County, WA, USA. The granite was emplaced at~5 km depth between~17 and 20 Ma and the crosscutting NW trending breccia contains large angular blocks of the host granite (<1 m in longest dimension). The brecciated granite blocks are cemented by quartz-amethyst euhedra (<10 cm in longest dimension) bearing vugs. A notable feature is the presence of centimetric scale amber coloured oil inclusions within the quartz-amethyst crystals. Fluid inclusion studies using Transmitted Light Petrography, UV Microscopy, Microthermometry, Laser Raman Microspectroscopy and Gas Chromatography-Mass Spectrometry record the presence and the fluid composition of three fluid inclusion types hosted by the euhedra: primary Type 1 (liquid rich two-phase (L + V) aqueous inclusions) and secondary Type 2 bituminous two-phase (S + L) inclusions and Type 3 amber coloured oil bearing two-phase immiscible liquid inclusions. The Green Ridge Breccia was the locus for convective hydrothermal fluid flow that formed the quartz-amethyst vugs formed at T~390 • C assuming a trapping pressure of~1.65 kb. Later, hydrocarbon fluids migrated downwards from the roof source rock (e.g., the Guye Sedimentary Member) and were trapped in the euhedra. This was followed by unroofing of the batholith and exposure of the Green Ridge Breccia. This study highlights the potential for other oil migrations into the Snoqualmie Batholith in areas where it forms the basement capped by the Guye Sedimentary Member.

show abstract

Section: Confocal Laser Raman Microscopy (Clrm) Of Type 2 Fluid Inclumentioning

confidence: 99%

Quartz-Amethyst Hosted Hydrocarbon-Bearing Fluid Inclusions from the Green Ridge Breccia in the Snoqualmie Granite, North Cascades, WA, USA

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Vibrational spectroscopy has been evaluated as a potential technique for predicting the thermal maturity of carbonaceous samples (Spotl et al, 1998;Ferrari and Robertson, 2000;Beyssac et al, 2002;Quirico et al, 2005;Rahl et al, 2005;Guedes et al, 2010Guedes et al, , 2012Hinrichs et al, 2014;Wilkins et al, 2014;Zhou et al, 2014;Chen et al, 2015;Bonoldi et al, 2016;Lünsdorf, 2016;Lünsdorf and Lünsdorf, 2016;Sauerer et al, 2017;Schito et al, 2017;Schmidt et al, 2017). Most of this research has focused on Raman spectroscopy, an analytical tool that provides fast, non-destructive analyses, requires little-to-no sample preparation, and can grant both qualitative and quantitative information about the analyte.…”

mentioning

confidence: 99%

“…While studies comparing Raman spectral parameters to intrinsic properties like thermal maturity have uncovered some basic trends, they have employed a multitude of different experimental and spectral processing techniques to develop the correlations (Spotl et al, 1998;Quirico et al, 2003Quirico et al, , 2005Rahl et al, 2005;Guedes et al, 2010Guedes et al, , 2012Hinrichs et al, 2014;Lünsdorf et al, 2014;Wilkins et al, 2014;Zhou et al, 2014;Bonoldi et al, 2016;Lünsdorf, 2016;Lünsdorf and Lünsdorf, 2016;Schito et al, 2017). These methods differed in the number of samples evaluated, the acquisition parameters used to generate the data (excitation wavelength, spectral resolution, acquisition time, number of unique and random points measured per sample), data processing (i.e., baseline correction) and peak-fitting metrics (number of peaks, wavenumber, maximum peak width).…”

mentioning

confidence: 99%

Assessment of Thermal Maturity Trends in Devonian–Mississippian Source Rocks Using Raman Spectroscopy: Limitations of Peak-Fitting Method

et al. 2017

View full text Add to dashboard Cite

The thermal maturity of shale is often measured by vitrinite reflectance (VRo). VRo measurements for the Devonian-Mississippian black shale source rocks evaluated herein predicted thermal immaturity in areas where associated reservoir rocks are oil-producing. This limitation of the VRo method led to the current evaluation of Raman spectroscopy as a suitable alternative for developing correlations between thermal maturity and Raman spectra. In this study, Raman spectra of Devonian-Mississippian black shale source rocks were regressed against measured VRo or sample-depth. Attempts were made to develop quantitative correlations of thermal maturity. Using sample-depth as a proxy for thermal maturity is not without limitations as thermal maturity as a function of depth depends on thermal gradient, which can vary through time, subsidence rate, uplift, lack of uplift, and faulting. Correlations between Raman data and vitrinite reflectance or sample-depth were quantified by peak-fitting the spectra. Various peak-fitting procedures were evaluated to determine the effects of the number of peaks and maximum peak widths on correlations between spectral metrics and thermal maturity. Correlations between D-frequency, G-band full width at half maximum (FWHM), and band separation between the G-and D-peaks and thermal maturity provided some degree of linearity throughout most peak-fitting assessments; however, these correlations and those calculated from the G-frequency, D/G FWHM ratio, and D/G peak area ratio also revealed a strong dependence on peak-fitting processes. This dependency on spectral analysis techniques raises questions about the validity of peak-fitting, particularly given the amount of subjective analyst involvement necessary to reconstruct spectra. This research shows how user interpretation and extrapolation affected the comparability of different samples, the accuracy of generated trends, and therefore, the potential of the Raman spectral method to become an industry benchmark as a thermal maturity probe. A Raman method devoid of extensive operator interaction and data manipulation is quintessential for creating a standard method.

show abstract

“…Spatially resolved confocal micro Raman spectroscopy could map coal with regard to rank, disorder level, average 'graphite' domain dimension, near infrared (NIR) emission of coal with submicron resolution [3,[24][25][26]. Significant advances have been reported in obtaining spatially resolved structure of coal using confocal micro Raman for identification of inorganic [5] and ordered and disordered carbon components [3,[7][8][9], to study changes in the collotelinite, fusinite, macrinite macerals signatures as a function of coal rank [10,11,27,28], chars [15,16,29], and coke [17].…”

Section: Introductionmentioning

confidence: 99%

Breaking the limits of structural and mechanical imaging of the heterogeneous structure of coal macerals

et al. 2014

View full text Add to dashboard Cite

The correlation between local mechanical (elasto-plastic) and structural (composition) properties of coal presents significant fundamental and practical interest for coal processing and for the development of rheological models of coal to coke transformations. Here, we explore the relationship between the local structural, chemical composition, and mechanical properties of coal using a combination of confocal micro-Raman imaging and band excitation atomic force acoustic microscopy for a bituminous coal. This allows high resolution imaging (10s of nm) of mechanical properties of the heterogeneous (banded) architecture of coal and correlating them to the optical gap, average crystallite size, the bond-bending disorder of sp 2 aromatic double bonds, and the defect density. This methodology allows the structural and mechanical properties of coal components (lithotypes, microlithotypes, and macerals) to be understood, and related to local chemical structure, potentially allowing for knowledge-based modeling and optimization of coal utilization processes.2

show abstract

The relationship between micro-Raman spectral parameters and reflectance of solid bitumen

Cited by 113 publications

References 28 publications

Quartz-Amethyst Hosted Hydrocarbon-Bearing Fluid Inclusions from the Green Ridge Breccia in the Snoqualmie Granite, North Cascades, WA, USA

Quartz-Amethyst Hosted Hydrocarbon-Bearing Fluid Inclusions from the Green Ridge Breccia in the Snoqualmie Granite, North Cascades, WA, USA

Assessment of Thermal Maturity Trends in Devonian–Mississippian Source Rocks Using Raman Spectroscopy: Limitations of Peak-Fitting Method

Breaking the limits of structural and mechanical imaging of the heterogeneous structure of coal macerals

Contact Info

Product

Resources

About