The fragmentation distribution caused by liquid CO2 transient of rapid acquisition and characterization
哈尔滨工业大学学报2019年51卷第10期 页码:106-114
作者机构:
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. Key Laboratory of Shale Gas and Geo-engineering, Institute of Geology and Geophysics (Institute of Geology and Geophysics, Chinese Academy of Sciences),Beijing,China,100029
3. 中国科学院 地球科学研究院,北京,100029
4. Institutions of Earth Science, Chinese Academy of Sciences,Beijing,China,100029
SUI Haoyue, HU Ruilin, GAO Wei, et al. The fragmentation distribution caused by liquid CO2 transient of rapid acquisition and characterization[J]. 2019, 51(10): 106-114.
SUI Haoyue, HU Ruilin, GAO Wei, et al. The fragmentation distribution caused by liquid CO2 transient of rapid acquisition and characterization[J]. 2019, 51(10): 106-114.DOI: 10.11918/j.issn.0367-6234.201809208.
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.