基于Micro-CT技术的煤岩裂隙精细表征
发布时间:2018-06-07 17:34
本文选题:煤层气 + 煤岩裂隙 ; 参考:《煤炭科学技术》2017年04期
【摘要】:为了表征完整煤样裂隙开度及空间展布,采用高精度Micro-CT扫描技术分析新巨龙煤矿的样品的裂隙结构。根据CT图像中裂隙周边CT数分布规律及三维可视化技术,对煤岩裂隙开度、分布和空间配置等参数进行精细表征。研究结果表明:运用高斯函数可以克服裂隙两侧CT数由于非均质造成波动,较为准确拟合裂隙CT数曲线的衰减规律;利用高斯函数的峰度(PH)与曲线面积(MA)对裂隙分布形态进行测量,当裂隙开度较小时(0.24 mm),利用PH法测量有较高的准确性;当裂隙开度较大时(0.24 mm),MA法测量有较高的准确度;通过煤岩三维重建的裂隙3D可视化模型,可清晰识别煤中裂隙空间分布形态。根据三维裂隙区域中197个特征位置CT数分布的误差分析表明,采用参数PH法测量的平均误差为14.3%,而采用MA法测量的平均误差为17.1%,说明PH法具有较高的准确度。
[Abstract]:In order to characterize the crack opening and spatial distribution of complete coal samples, the fracture structure of samples in Xinjulong Coal Mine was analyzed by high-precision Micro-CT scanning technique. According to the rule of CT number distribution and 3D visualization technology, the parameters of coal fracture opening, distribution and space configuration are described in detail according to the distribution law of CT number around the fissure in CT image and 3D visualization technology. The results show that the attenuation law of fracture CT number curve can be accurately fitted by using Gao Si function to overcome the fluctuation of CT number caused by heterogeneity on both sides of fracture. The Gao Si function kurtosis and curve area are used to measure the fracture distribution morphology. When the crack opening is smaller than 0.24mm-1, the PH method is used to measure the fracture pattern with high accuracy, and when the crack opening degree is large, the measurement with 0.24mm / mm MA method has higher accuracy. The spatial distribution of fractures in coal can be clearly identified by 3D visualization model of fracture reconstruction. According to the error analysis of CT number distribution of 197 characteristic positions in 3D fracture region, the average error measured by the parameter PH method is 14.3and the average error by MA method is 17.1, which shows that PH method has higher accuracy.
【作者单位】: 山东科技大学矿山灾害预防控制国家重点实验室培育基地;长崎大学工学部;中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室;中国科学院武汉岩土力学研究所;
【基金】:国家自然科学基金资助项目(41202194,51474204,51134005) 山东省自然科学基金资助项目(ZR2012EEQ021) 中国博士后科学基金资助项目(2013M542097) 深部岩土力学与地下工程国家重点实验室开放基金资助项目(SKLGDUEK1421)
【分类号】:TD84
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本文编号:1992085
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