| 引用本文: | 隋皓月,胡瑞林,高玮,程雅星.液态CO2瞬变致裂的岩体块度快速获取与表征[J].哈尔滨工业大学学报,2019,51(10):106.DOI:10.11918/j.issn.0367-6234.201809208 |
| SUI Haoyue,HU Ruilin,GAO Wei,CHENG Yaxing.The fragmentation distribution caused by liquid CO2 transient of rapid acquisition and characterization[J].Journal of Harbin Institute of Technology,2019,51(10):106.DOI:10.11918/j.issn.0367-6234.201809208 |
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| 液态CO2瞬变致裂的岩体块度快速获取与表征 |
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隋皓月1,2,3,胡瑞林1,2,3,高玮1,2,程雅星1,2
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(1.中国科学院页岩气与地质工程重点实验室(中国科学院地质与地球物理研究所),北京 100029; 2.中国科学院 地球科学研究院,北京 100029; 3.中国科学院大学,北京 100049)
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| 摘要: |
| 液态CO2瞬变致裂技术越来越多的应用到岩体开挖中,其致裂后岩体块度的快速获取与系统表征对于现场条件下进行液态CO2瞬变致裂效果快速评价具有重要的应用价值. 为解决致裂块度获取方式信息获取不全、操作复杂、工作量大等问题,采用无人机摄像技术与MIPS图像处理技术,提出了一种全面快速获取破碎块石特征信息（面积、周长、最大弦长等）的新方法,并将其应用到液态CO2瞬变致裂现场实验中. 在此基础上,通过对块度信息所包含的不均匀性、曲率特征等进行了综合分析,将分形理论应用于液态CO2瞬变致裂块度分布描述中,并采用分形维数D定量表征破碎岩块的块度分布. 现场实验结果表明,“无人机摄像+MIPS图像处理”技术能够快速、准确且完整的提取岩石块度信息,分形维数可较好的表征致裂块度分布,即分形维数越大,小块度占比越高,反之越低. 该研究为及时分析和快速调整致裂方案及其相应技术参数提供了一种新的重要技术支撑. |
| 关键词: CO2致裂 无人机 图像处理 块度分布 分形维数 |
| DOI：10.11918/j.issn.0367-6234.201809208 |
| 分类号:P642.3 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(41330643); 中国科学院战略性先导科技专项(B类)(XDB10030100) |
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| The fragmentation distribution caused by liquid CO2 transient of rapid acquisition and characterization |
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SUI Haoyue1,2,3,HU Ruilin1,2,3,GAO Wei1,2,CHENG Yaxing1,2
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（1.Key Laboratory of Shale Gas and Geo-engineering, Institute of Geology and Geophysics (Institute of Geology and Geophysics, Chinese Academy of Sciences), Beijing 100029, China; 2. Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China)
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| Abstract: |
| The cracking technology by liquid CO2 transient has been increasingly applied to rock excavation. The rapid acquisition and systematic characterization of the fragmentation distribution have important application value for rapidly evaluating the effect of liquid CO2 transient cracking under field conditions. In order to solve the problems of incomplete information acquisition, complicated operation, and large workload, a new method is proposed in this paper that combines the UAV camera technology and the MIPS image processing technology to comprehensively and quickly obtain the broken rock feature information (area, perimeter, maximum chord length, etc.) and apply it to liquid CO2 transients. On this basis, through the comprehensive analysis of the inhomogeneity and curvature characteristics of the block information, the fractal theory was used to describe the distribution of liquid CO2 transient fragmentation, and the fractal dimension D was applied to quantitatively characterize the fragmentation distribution of the broken rock. The field experiment results show that the “UAV camera + MIPS image processing” technology could extract the rock block information quickly, accurately, and completely. Moreover, the fractal dimension could better characterize the distribution of split block. The larger the fractal dimension was, the higher the proportion of small pieces was, and otherwise the lower it was. This study provides a new important technical support for timely analysis and rapid adjustment of borehole scheme and corresponding technical parameters. |
| Key words: carbon dioxide transient crack Unmanned Aerial Vehicle image processing fragmentation distribution fractal dimension |
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