Wei Zhang, Liheng Bian, Mingqing Hu, Peng Wu, Tim A. Moore, Jian Shen
{"title":"大集地块深部煤层中煤的宏观岩型定量识别及分布规律","authors":"Wei Zhang, Liheng Bian, Mingqing Hu, Peng Wu, Tim A. Moore, Jian Shen","doi":"10.1002/ese3.70212","DOIUrl":null,"url":null,"abstract":"<p>The construction of a logging response model for macrolithotypes in coal has been successfully completed. This model has enabled delineation of vertical and planar distribution patterns of coal macrolithotypes within the #5 and #8 coal seams of the Daji block, as well as to forecast the distribution of favorable reservoir conditions. Our findings indicate that semibright coal is predominant in the deep layers of the Daji block, with semidull, bright, and dull coals occurring less frequently. There is a strong correlation between the content of vitrain and clarain and the logging parameters of AC, DEN, GR, and M2RX. The accuracy of the logging response model for coal macrolithotypes is as high as 80%. Vertically, in both the #5 and #8 coal seams, the Yichuan–Hedong area is characterized predominantly by bright and semibright coals, while semidull coal is the dominant type in Yanchuan. Specifically, within the #8 coal seam, the Yichuan–Hedong area is largely composed of semibright coal, whereas the eastern part of Yanchuan is dominated by semidull coal. In terms of planar distribution, the #5 and #8 coal seams exhibit a development of semibright and bright coals in the Yichuan–Hedong and northern Yanchuan regions. Notably, the combined content of bright and semibright coal in the #8 coal seam exceeds that of the #5 coal seam. Based on the proportion of bright coal plus semibright coal as an index, the reservoirs have been categorized into three types. The middle and upper sections of the #8 coal are identified as the primary reservoirs, while the areas adjacent to the dirt band and the lower sections are considered less favorable for reservoir development. The favorable areas for both the #5 and #8 coal seams are predominantly concentrated in the central region of the Hedong area.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 10","pages":"4839-4852"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70212","citationCount":"0","resultStr":"{\"title\":\"Quantitative Identification and Distribution Pattern of Macrolithotype of Coal in Deep Coal Seams of the Daji Block\",\"authors\":\"Wei Zhang, Liheng Bian, Mingqing Hu, Peng Wu, Tim A. Moore, Jian Shen\",\"doi\":\"10.1002/ese3.70212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The construction of a logging response model for macrolithotypes in coal has been successfully completed. This model has enabled delineation of vertical and planar distribution patterns of coal macrolithotypes within the #5 and #8 coal seams of the Daji block, as well as to forecast the distribution of favorable reservoir conditions. Our findings indicate that semibright coal is predominant in the deep layers of the Daji block, with semidull, bright, and dull coals occurring less frequently. There is a strong correlation between the content of vitrain and clarain and the logging parameters of AC, DEN, GR, and M2RX. The accuracy of the logging response model for coal macrolithotypes is as high as 80%. Vertically, in both the #5 and #8 coal seams, the Yichuan–Hedong area is characterized predominantly by bright and semibright coals, while semidull coal is the dominant type in Yanchuan. Specifically, within the #8 coal seam, the Yichuan–Hedong area is largely composed of semibright coal, whereas the eastern part of Yanchuan is dominated by semidull coal. In terms of planar distribution, the #5 and #8 coal seams exhibit a development of semibright and bright coals in the Yichuan–Hedong and northern Yanchuan regions. Notably, the combined content of bright and semibright coal in the #8 coal seam exceeds that of the #5 coal seam. Based on the proportion of bright coal plus semibright coal as an index, the reservoirs have been categorized into three types. The middle and upper sections of the #8 coal are identified as the primary reservoirs, while the areas adjacent to the dirt band and the lower sections are considered less favorable for reservoir development. 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Quantitative Identification and Distribution Pattern of Macrolithotype of Coal in Deep Coal Seams of the Daji Block
The construction of a logging response model for macrolithotypes in coal has been successfully completed. This model has enabled delineation of vertical and planar distribution patterns of coal macrolithotypes within the #5 and #8 coal seams of the Daji block, as well as to forecast the distribution of favorable reservoir conditions. Our findings indicate that semibright coal is predominant in the deep layers of the Daji block, with semidull, bright, and dull coals occurring less frequently. There is a strong correlation between the content of vitrain and clarain and the logging parameters of AC, DEN, GR, and M2RX. The accuracy of the logging response model for coal macrolithotypes is as high as 80%. Vertically, in both the #5 and #8 coal seams, the Yichuan–Hedong area is characterized predominantly by bright and semibright coals, while semidull coal is the dominant type in Yanchuan. Specifically, within the #8 coal seam, the Yichuan–Hedong area is largely composed of semibright coal, whereas the eastern part of Yanchuan is dominated by semidull coal. In terms of planar distribution, the #5 and #8 coal seams exhibit a development of semibright and bright coals in the Yichuan–Hedong and northern Yanchuan regions. Notably, the combined content of bright and semibright coal in the #8 coal seam exceeds that of the #5 coal seam. Based on the proportion of bright coal plus semibright coal as an index, the reservoirs have been categorized into three types. The middle and upper sections of the #8 coal are identified as the primary reservoirs, while the areas adjacent to the dirt band and the lower sections are considered less favorable for reservoir development. The favorable areas for both the #5 and #8 coal seams are predominantly concentrated in the central region of the Hedong area.
期刊介绍:
Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.