矿井物理模型探地雷达CT透射探测及反演成像研究  

Research on CT Transmission Detection and Inversion Imaging of GPR by Coal Mine Physical Model

作　　者：崔凡[1,2] 李思远 俞慧婷 姜旭 陈柏平 CUI Fan;LI Si-yuan;YU Hui-ting;JIANG XU;CHEN Bai-ping(College of Geoscience and Surveying Engineering,China University of Mining and Technology（Beijing）,Beijing 100083,China;State Key Lab of Coal Resources and Safe Mining,China University of Mining and Technology（Beijing）,Beijing 100083,China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]中国矿业大学(北京)煤炭资源与安全开采国家重点实验室,北京100083

出　　处：《煤炭技术》2018年第11期130-133,共4页Coal Technology

基　　金：中国矿业大学(北京)煤炭资源与安全开采国家重点实验室(SKLCRSM16KFA06;SKLCRSM16DCB14);神华集团煤炭开采水资源保护与利用国家重点实验室开放基金(SHJT-16-30.18)

摘　　要：以矿井CT透射探地雷达探测技术为基础,基于射线追踪理论和ART算法原理,对建立的矿井隐伏构造灾害源数值模型开展模拟探测及反演成像研究,并将此方法应用于实测数据的成像处理。结果表明,此方法能够有效确定异常构造的位置及其尺寸大小,对井下隐伏构造灾害源探测起到了一定推动作用。Based on CT transmission detection technology of GPR, according to the theory of ray tracing and the principle of ART algorithm to achieve the simulation detection and inversion imaging of the hidden disaster in the numerical model. And using this method to image measured data. The results indicated that travel time tomography by using ART algorithm can effectively identify the location and size of the abnormal structure, which promotes the exploration of hidden structure disaster sources.

关 键 词：探地雷达 CT透射 射线追踪 ART算法 反演成像 

分 类 号：P631[天文地球—地质矿产勘探]