首页> 外文期刊>Minerals >Nano-Scale Pore Structure and Fractal Dimension of Longmaxi Shale in the Upper Yangtze Region, South China: A Case Study of the Laifeng–Xianfeng Block Using HIM and N 2 Adsorption
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Nano-Scale Pore Structure and Fractal Dimension of Longmaxi Shale in the Upper Yangtze Region, South China: A Case Study of the Laifeng–Xianfeng Block Using HIM and N 2 Adsorption

机译:扬子上游龙马溪组页岩的纳米孔隙结构和分形维数:以HIM和N 2吸附为例的来凤—咸丰区块

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This paper tries to determine the key evaluation parameters of shale reservoirs in the complex tectonic provinces outside the Sichuan Basin in South China, and also to target the sweet spots of shale reservoirs accurately. The pore-structure characteristics of the Lower Silurian Longmaxi shale gas reservoirs in Well LD1 of the Laifeng–Xianfeng Block, Upper Yangtze region, were evaluated. N 2 adsorption and helium ion microscope (HIM) were used to investigate the pore features including pore volume, pore surface area, and pore size distribution. The calculated results show good hydrocarbon storage capacity and development potential of the shale samples. Meanwhile, the reservoir space and migration pathways may be affected by the small pore size. As the main carrier of pores in shale, organic matter contributes significantly to the pore volume and surface area. Samples with higher total organic carbon (TOC) content generally have higher porosity. Based on the Frenkel–Halsey–Hill equation (FHH model), two different fractal dimensions, D 1 and D 2 , were observed through the N 2 adsorption experiment. By analyzing the data, we found that large pores usually have large values of fractal dimension, owing to their complex pore structure and rough surface. In addition, there exists a good positive correlation between fractal dimension and pore volume as well as pore surface area. The fractal dimension can be taken as a visual indicator that represents the degree of development of the pore structure in shale.
机译:本文试图确定华南四川盆地以外复杂构造省份的页岩储层关键评价参数,并准确定位页岩储层的甜点区。评估了长江上游地区来凤至咸丰区块LD1井下志留统龙马溪组页岩气储层的孔隙结构特征。 N 2吸附和氦离子显微镜(HIM)用于研究孔特征,包括孔体积,孔表面积和孔径分布。计算结果表明页岩样品具有良好的储碳能力和开发潜力。同时,小孔径可能会影响储层空间和运移路径。作为页岩中孔隙的主要载体,有机物对孔隙体积和表面积有重大贡献。总有机碳(TOC)含量较高的样品通常具有较高的孔隙率。根据Frenkel-Halsey-Hill方程(FHH模型),通过N 2吸附实验观察到两个不同的分形维D 1和D 2。通过分析数据,我们发现大孔由于其复杂的孔结构和粗糙的表面而通常具有较大的分形维数。另外,分形维数与孔体积以及孔表面积之间存在良好的正相关。分形维数可以作为表示页岩中孔隙结构发育程度的可视指标。

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