Petrographic insights of organic matter conversion of Raniganj basin shales, India

Hazra, Bodhisatwa; Varma, Atul Kumar; Bandopadhyay, Anup Kumar; Mendhe, Vinod Atmaram; Singh, Bhagwan D.; Saxena, V. K.; Samad, Suresh Kumar; Mishra, Divya Kumari

doi:10.1016/j.coal.2015.09.001

Cited by 80 publications

(33 citation statements)

References 51 publications

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“…The least amount of hydrocarbons under S2-curve was observed for the jhama sample (CP-MLP-04). The impact of igneous-intrusion resulted in removal of hydrocarbons from the sample, and thereby reducing the presentday hydrocarbon-yield as determined using the Rock-Eval (Hazra et al 2015). Consequently, for this sample, the HI was also observed to be small.…”

Section: Rock-eval Pyrolysis and Oxidation Stagesmentioning

confidence: 92%

Coal combustion analysis using Rock-Eval: importance of S4-Tpeak

et al. 2020

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The Rock-Eval technique has been conventionally used for source-rock analysis. In this work we document the importance of Rock-Eval S4 oxidation graphics and S4-T peak as indicators for coal reactivity and thermal maturity. Two non-coking coals (lower maturity), one coking coal (higher maturity), and one jhama (intrusion-induced metamorphosed coal), were collected and studied in terms of their reactivity and combustion properties. Our results indicate that Rock-Eval S4-T peak can be convincingly used to decipher the thermal maturity level of a coal sample. The two non-coking coals owing to their higher reactivity and corresponding lower activation energies, combusted at lower temperatures, almost entirely below 650°C, and showed lower Rock-Eval S4-T peak . The coking coal sample on the other hand due to its higher thermal maturity level and lower reactivity, combusted at higher temperature, showing higher S4-T peak . While the S2 T max showed higher maturity for the coking coal than the jhama, the S4 oxidation graphics and S4-T peak clearly revealed higher thermal maturity of the jhama relative to the other samples. With increasing sample weights, the S4CO 2 curves were observed to be broader, and consequently the S4-T peak was observed to be higher and erroneous, the errors being more for the more-mature coking coal and jhama. With lowering sample weights, the curves became tighter and the S4-T peak became lower and more precise. Parameters calculated using TG-DTG-DSC were observed to complement the data from Rock-Eval oxidation-stage, and revealed higher maturity, less reactivity, higher temperatures of ignition and burn out for the jhama, followed by the coking coal. Our results also indicate the suitability of applying Rock-Eval for combustion-profiling of coals, beyond source-rock characterization and CBM reservoir analysis.

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Section: Rock-eval Pyrolysis and Oxidation Stagesmentioning

confidence: 92%

Coal combustion analysis using Rock-Eval: importance of S4-Tpeak

et al. 2020

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“…These samples were selected from a larger set of samples earlier studied and characterized by Varma et al (2014aVarma et al ( , 2014b and Hazra et al (2015). The Lower Permian Barakar Formation shales from the Sitarampur area are slightly more mature than shales studied from other areas of the basin, which possibly is caused due to the local impacts of several igneous intrusives in that area (Varma et al, 2014a(Varma et al, , 2014bHazra et al, 2015). To improve understanding concerning petroleum generation Wood, D.A.…”

Section: Raniganj Basin Setting and Sample Selectionmentioning

confidence: 99%

“…The Raniganj basin, a sub-basin of Damodar Valley basin, was the birthplace of the Indian coal industry, and its potential for shale-gas extraction is already well documented (Sain et al, 2014;Varma et al, 2015a). Previous works have described the organic matter richness, petrographic charac-teristics, mineralogy, high-pressure methane gas adsorption, matrix petroleum-retention properties, biomarkers, and organic geochemistry of this and other Indian Permian shale basins (Mani et al, 2014;Varma et al, 2014aVarma et al, , 2014bVarma et al, , 2014cVarma et al, , 2014dVarma et al, , 2015aVarma et al, , 2015bGanapathi, 2015a, 2015b;Hazra et al, 2015Hazra et al, , 2016Hazra et al, , 2018aHazra et al, , 2018bTewari et al, 2016;Mendhe et al, 2017Mendhe et al, , 2018. In this work, for the first time, Rock-Eval data for a range of shales with a wide-range of maturities is used to consider the kerogen kinetics of Permian shales from the Raniganj basin.…”

Section: Introductionmentioning

confidence: 99%

Pyrolysis S2-peak characteristics of Raniganj shales (India) reflect complex combinations of kerogen kinetics and other processes related to different levels of thermal maturity

Wood

Hazra

2018

Adv. Geo-Energy Res.

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“…The shale gas extraction is still in its beginning phase in India. Nevertheless, efforts have been made by several researchers for the evaluation of Indian shale deposits to delineate the prospective areas and housed formations and estimate their hydrocarbon generation potentialities in regional and basinal scales (Sain et al, 2014;Hazra et al, 2015Hazra et al, , 2018aMendhe et al, 2017a;Mishra et al, 2018a;Mishra et al, 2021; and many more). Subsequently, substantial developments have also been made on the characterization of thick shaleassociated sequences in many basins of India, such as Barakar and Barren Measures Formations in Damodar Basin (Varma et al, 2015;Mendhe et al, 2017a), Kommugudem and Raghavapuram Shales in Krishna-Godavari Basin (Padhy et al, 2013), and Cambay Formation in Cambay Basin (Dayal et al, 2013;Hafiz et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Pore structures and fractal dimensions in Early Permian Barakar shales of Rajmahal Basin, Jharkhand, India

et al. 2021

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The proximate, low-pressure N 2 sorption, X-ray diffraction, and organic petrography parameters have been used to delineate the pore structures and fractal dimensions in the Barakar shales of Rajmahal Basin, India. The information has been utilized for the assessment of shale gas reservoir and to know about the mode of occurrence and storage capacity of shales for the entrapment of methane (CH 4 ). The studied shales are characterized by high fixed carbon contents (10.14-46.09 wt.%) and contain significant abundance of brittle minerals, like quartz (6.0-51.6%) and mica (1.0-41.2%). The petrographic observations show that the studied samples comprise of numerous laths of vitrinite (collotelinite and vitrodetrinite) and semifusinite macerals and quartz grains. The data of low-pressure N 2 sorption analysis indicates the shales encompass mainly meso-to macropores and microfractures. The total pore volume, average pore size, and multipoint BET surface area of the studied shales vary from 0.012 to 0.023 cc/g, 8.295 to 10.840 nm, and 5.752 to 10.390 m 2 /g respectively. Two types of fractal dimensions (D 1 and D 2 ) have been calculated by using FHH (Frankel-Halsey-Hill) method from the N 2 adsorption isotherm. The high values of fractal dimensions (2.1949 < D 1 < 2.4837 and 2.6668 < D 2 < 2.7247) are indicating the highly rugged pore surface or complexity in the pore structures.

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Petrographic insights of organic matter conversion of Raniganj basin shales, India

Cited by 80 publications

References 51 publications

Coal combustion analysis using Rock-Eval: importance of S4-Tpeak

Coal combustion analysis using Rock-Eval: importance of S4-Tpeak

Pyrolysis S2-peak characteristics of Raniganj shales (India) reflect complex combinations of kerogen kinetics and other processes related to different levels of thermal maturity

Pore structures and fractal dimensions in Early Permian Barakar shales of Rajmahal Basin, Jharkhand, India

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