Coalbed methane reservoir characteristics of coal seams of south Karanpura coalfield, Jharkhand, India

Kumar, Jaywardhan; Mendhe, Vinod Atmaram; Kamble, Alka Damodhar; Bannerjee, Mollika; Mishra, Subhashree; Singh, Bhagwan D.; Mishra, Vivek; Singh, Pradeep K.; Singh, Harendra

doi:10.1016/j.coal.2018.07.011

Cited by 23 publications

(16 citation statements)

References 54 publications

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“…The ternary diagram also exemplifies that they were deposited in alternating oxic (dry) moor with sudden high flooding during peat accumulation, as shown in Fig. 7 ( Esen et al 2020;Kumar et al 2018). The vitrinite groups of macerals are dominantly present in samples, primarily derived from woody plant tissue, and its value varies from 59.47 to 73.39 vol.% (averaging 66.43%) on a dry ash-free basis (Varma et al 2015a;Varma et al 2015b).…”

Section: Petrographic Investigationsmentioning

confidence: 88%

“…The petrographic analysis indicates the quantity of organic content, maturity, gas generation, and storage capacity in coal (Goraya et al 2019;Kumar et al 2018). It was also significantly utilized to determine coal formation and diagenesis (Gao et al 2014;Moore 2012).…”

Section: Petrographic Investigationsmentioning

confidence: 99%

“…FTIR analysis not only provides information about functional groups, but it is also significant for the determination of hydrocarbon generation potential (Hossain et al 2019;Kumar et al 2018). "A" factor (aliphatic/aromatic bands) can evaluate the hydrocarbon-generating potential of coal, and the "C" factor primarily the ratio of carbonyl/carboxyl groups to the aromatic group and illustrate the maturity of coal.…”

Section: Fourier Transform Infrared Spectroscopy Studiesmentioning

confidence: 99%

“…The literature reveals that coal is a sedimentary rock, with complex pore and fracture structure (Gao et al 2014). The macro-micro pores in coal provide extremely massive surface areas for methane, and it accumulates as a free, adsorbed, and dissolved state (Kumar et al 2018;Wang et al 2020). The different ranks of coal, mineral matter and maceral composition significantly influence the methane sorption capacity (Goraya et al 2019;Moore et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Geochemical investigation of hydrocarbon generation potential of coal from Raniganj Basin, India

Panwar

Chaurasia

Saxena

et al. 2021

J Petrol Explor Prod Technol

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Methane content in a coal seam is a necessary parameter for evaluating coal bed gas, and it poses an environmental risk to underground coal mining activities. Keeping in pace with comprehensive studies of coal bed gas, 12 coal samples were selected from the Sitarampur block of Raniganj Coalfield for analysis. The Petrographic examination illustrated that significant values of reactive macerals present in samples demonstrate that organic matter is dominated by the prominent source of aromatic hydrocarbons with a minor proportion of aliphatic hydrocarbon, which falls in the region of (Type III) kerogen, confirms the suitability for the potential of hydrocarbon generation. “A” factor (aliphatic/aromatic bands) and “C” factor (carbonyl/carboxyl bands) value concluded that the sample has the lowest aromaticity and the highest hydrocarbon-generating potential, which was also validated by the Van Krevelen diagram. The Van Krevelen diagram plots between the H/C and O/C ratio indicate that coal samples lie in the type III kerogen, and bituminous coal (gas prone zone) is present in the block, which is confirmed by the cross-plot between desorbed and total gas (cc/g). The in situ gas content values are high enough to produce methane from coal beds. The overall study concludes that the Sitarampur block from Raniganj Coalfield is suitable for hydrocarbon generation and extraction.

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Section: Petrographic Investigationsmentioning

confidence: 88%

Section: Petrographic Investigationsmentioning

confidence: 99%

Section: Fourier Transform Infrared Spectroscopy Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Geochemical investigation of hydrocarbon generation potential of coal from Raniganj Basin, India

Panwar

Chaurasia

Saxena

et al. 2021

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

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“…CBM is natural gas that is generated by biochemistry and pyrolysis during the formation and evolution of coal seams and is stored in coal seams. At present, the United States, Canada, Australia, Russia, India, China, and other countries have all started exploration and development of CBM [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Combining K-Means Clustering and Random Forest to Evaluate the Gas Content of Coalbed Bed Methane Reservoirs

Zhu

Qin³

et al. 2021

Geofluids

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The accurate calculation of the gas content of coalbed bed methane (CBM) reservoirs is of great significance. However, due to the weak correlation between the logging response of coalbed methane reservoirs and the gas content parameters and strong nonlinear characteristics, it is difficult for conventional gas content calculation algorithms to obtain more reliable results. This paper proposes a CBM reservoir gas content assessment method combining K-means clustering and random forest. The K-means clustering is used to divide the reservoirs and distinguish the types to establish a random forest model. Judging from the evaluation effect of the research block, the prediction accuracy of the new method is significantly higher than that of the original method, and more accurate gas content prediction values can be obtained for different types of reservoirs. Studies have shown that this method can help the gas content evaluation of CBM reservoirs, improve the accuracy of gas content evaluation, and better support the exploration and development of CBM reservoirs. The results of this study show that the random forest method based on clustering can effectively distinguish the relationship between different logging responses and gas content. On this basis, the random forest algorithm modeling can effectively characterize the complex relationship between gas content and logging curve response. In the case of poor correlation between gas content and logging curve, the gas content of the reservoir can also be accurately calculated.

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A Comprehensive Study on Methane Adsorption Capacities and Pore Characteristics of Coal Seams: Implications for Efficient Coalbed Methane Development in the Soma Basin, Türkiye

Esen,

Fişne

2024

Rock Mech Rock Eng

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This study represents a comprehensive assessment of methane adsorption capacity and pore characteristics for the coal seams of the Soma Basin in Western Türkiye, with a focus on their implications for coalbed methane potential. Twenty-one exploration wells were utilized to obtain coal samples from the kP1 and kM2 coal seams in the Kınık coalfield of the Soma Basin. High-pressure methane adsorption experiments using the indirect gravimetric method were conducted to quantify the storage capacities of these coal seams. Results revealed a wide range of methane adsorption capacities, ranging from 10.5 to 28.3 m3/t (air-dry basis), indicating significant methane storage potential for the kP1 and kM2 coal seams. The gas contents, ranging from 1.1 to 4.3 m3/t (as-received basis), suggested that the coal seams were undersaturated. Low-pressure N2/CO2 adsorption tests, along with standard proximate and gross calorific value analyses, were performed to investigate the influence of coal quality and pore characteristics on methane adsorption capacities. The findings demonstrated correlations between coal quality parameters and adsorption capacity, with ash yield showing a moderately negative correlation and fixed carbon content and gross calorific values exhibiting moderately positive correlations. Microporosity was identified as the critical factor governing methane adsorption, with a strong positive correlation observed between micropore surface areas and volumes and adsorption capacity. These results highlight the significant methane storage capacities of the coal seams in the Soma Basin and underscore the importance of micropores in determining methane adsorption capacity. The findings provide valuable insights for optimizing methane extraction and utilization in the region and offer important considerations for reservoir characterization and development strategies in similar low-rank coal deposits. Highlights Extensive evaluation of methane adsorption and pore characteristics in Soma Basin coals, uncovering substantial potential for coalbed methane. The study reveals a diverse range of methane adsorption capacities, indicating highly promising methane storage capabilities. Correlation between coal quality parameters and methane adsorption, offering valuable insights into gas storage influenced by coal composition. Emphasis on the crucial role of micropores in methane storage, underscoring their significance as primary adsorption sites. Practical implications for optimizing methane extraction and utilization, guiding reservoir development in low-rank coal deposits like Soma Basin.

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Coalbed methane reservoir characteristics of coal seams of south Karanpura coalfield, Jharkhand, India

Cited by 23 publications

References 54 publications

Geochemical investigation of hydrocarbon generation potential of coal from Raniganj Basin, India

Geochemical investigation of hydrocarbon generation potential of coal from Raniganj Basin, India

Combining K-Means Clustering and Random Forest to Evaluate the Gas Content of Coalbed Bed Methane Reservoirs

A Comprehensive Study on Methane Adsorption Capacities and Pore Characteristics of Coal Seams: Implications for Efficient Coalbed Methane Development in the Soma Basin, Türkiye

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