Estimation of Mineral Accessible Surface Area from Mineral Abundance and Clay Content
Estimation of Mineral Accessible Surface Area from Mineral Abundance and Clay Content
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DOI：
10.1021/acsearthspacechem.2c00181
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发表时间：
2023-01
影响因子：
3.4
通讯作者：
F. Qin;M. Salek;Parisa Asadi;C. Iloejesi;Olivia M. Brunhoeber;Mukseet Mahmood;L. Beckingham
中科院分区：
文献类型：
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作者：
F. Qin;M. Salek;Parisa Asadi;C. Iloejesi;Olivia M. Brunhoeber;Mukseet Mahmood;L. Beckingham
矿物反应性表面积通常通过多种方法（例如，Brunauer-Emmett-Teller吸附、几何近似和成像技术）。因此，数值相差1-5个数量级，这在用于反应性迁移模型以模拟地球化学反应速率时可能导致很大的差异。使用矿物可及表面积（ASA）从耦合的2D和3D成像方法确定的模拟进行了更好的匹配与岩心驱替实验中测得的反应速率。然而，这样的图像处理需要大量的时间和资源。在这项工作中，估计矿物ASA从容易测量的属性，如矿物丰度和孔隙度的可能性进行了探索。沿着从以前的文献中的另外三个样品的数据，不同成分的六个砂岩样品进行了研究。使用二维扫描电子显微镜和三维X射线纳米计算机断层扫描成像方法对矿物质ASA进行定量。样品性质，如矿物可及性，矿物ASA，连接孔隙度和粘土含量进行了比较，以探索性能之间的潜在相关性。总体而言，据观察，矿物的可访问性可以预测长石矿物的可访问性一般随着丰度的增加而增加，石英的可访问性随着粘土含量的增加而减少。矿物ASA在样品之间变化，取决于矿物的相对丰度和总体孔隙连通性。石英的阿萨随丰度的增加而减少，钠长石和碳酸盐矿物的ASA随丰度的增加而增加。定量观测，包括预测关系的ASA从孔隙度和矿物体积分数，开发。从更容易量化的属性估计ASA和矿物可获得性可以大大减少所需的图像分析范围。
The mineral reactive surface area is often quantified through a wide range of approaches (e.g., Brunauer–Emmett–Teller adsorption, geometry approximation, and imaging techniques). As such, values vary 1–5 orders of magnitude which can result in large discrepancies when used in reactive transport models to simulate geochemical reaction rates. Simulations carried out using mineral accessible surface areas (ASAs) determined from a coupled 2D and 3D imaging approach have shown better match with reaction rates measured in core-flood experiments. However, such image processing requires large amounts of time and resources. In this work, the possibility of estimating mineral ASAs from easily measured properties like mineral abundance and porosity is explored. Six sandstone samples of varying compositions were studied along with data from three additional samples from the previous literature. Mineral ASAs were quantified using a combined 2D scanning electron microscopy and 3D X-ray nano-computed tomography imaging approach. Sample properties like mineral accessibility, mineral ASAs, connected porosity, and clay content were compared to explore potential correlations between properties. Overall, it was observed that mineral accessibility can be predicted where feldspar mineral accessibility generally increases with increasing abundance and quartz accessibility decreases with increasing clay content. Mineral ASAs vary between samples, depending on the relative abundance of minerals and overall pore connectivity. While the ASA of quartz decreases with abundance, albite and carbonate mineral ASAs increase with abundance. Quantitative observations, including predictive relationships for ASAs from porosity and mineral volume fraction, are developed. Estimations of ASAs and mineral accessibility from more easily quantifiable properties can largely reduce the required extent of image analysis.