Spatial distribution of mineral development in Carboniferous Bowland Shale, UK at 3D micro- to nano- scales
Spatial distribution of mineral development in Carboniferous Bowland Shale, UK at 3D micro- to nano- scales
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DOI：
10.1016/j.coal.2023.104236
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发表时间：
2023-04
影响因子：
5.6
通讯作者：
Jingyue Hao;Lin Ma;C. Hollis;A. Fauchille;K. Taylor
中科院分区：
文献类型：
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作者：
Jingyue Hao;Lin Ma;C. Hollis;A. Fauchille;K. Taylor
确定泥岩的矿物结构和成岩特征对于揭示其孔隙系统的历史至关重要，并为预测其未来的密封能力、反应性以及封存二氧化碳、储氢或处置核废料的能力提供关键信息。为了了解流体的空间运输和储存，有必要绘制三维（3D）矿物和裂缝的分布图。本研究提出了一种新颖的多尺度三维（3D）成像方法，即同步加速器微x射线层析成像和实验室纳米层析成像相结合，以研究Bowland页岩的沉积学和成岩特征，Bowland页岩是英国体积上最重要的泥岩主导系统之一。成岩矿物包括黄铁矿、方解石、高岭石、伊利石、绿泥石、白云石、铁白云石和自生石英（微尺寸石英和石英过度生长）。多尺度三维图像提供白云岩-铁白云岩分带和碳酸盐溶蚀孔隙的详细信息。这些特征无法通过传统的二维方法观察或量化，并且在此之前未在该主题领域报道过。利用这些结果，预测了碳储存和其他地下储存应用过程中的潜在反应。
Determination of mineral texture and diagenetic features in mudstones is crucial to reveal the history of their pore systems and provides key information to predict their future sealing ability, reactivity and storage capacity for sequestered CO2, hydrogen storage or nuclear waste disposal. To understand the spatial transport and storage of fluids, it is necessary to map the distribution of minerals and fractures in three dimensions (3D). This study proposes a novel, multi-scale three-dimensional (3D) imaging method, i.e., a combination of synchrotron- sourced micro- x-ray tomography and lab- sourced nano-tomography, to investigate the sedimentology and diagenetic features of the Bowland Shale, one of the most volumetrically important mudstone-dominated systems in the UK. Diagenetic minerals have been identified and characterised, including pyrite, calcite, kaolinite, illite, chlorite, dolomite, ankerite and authigenic quartz (micro-sized quartz and quartz overgrowths). Multi-scale 3D images provide detailed information about dolomite-ankerite zonation and carbonate dissolution pores. These features cannot be observed or quantified by conventional 2D methods, and they have not been reported in this subject area before. Using these results, potential reactions during carbon storage and other subsurface storage applications are predicted.