基于BPNN全空间电阻率反演的覆岩采动裂隙监测研究  

Monitoring of mining-induced fractures in overburden based on BPNN full-space resistivity inversion

作　　者：程久龙[1] 徐忠忠 陈涛 李垚 赵红鹏 吴成高 CHENG Jiulong;XU Zhongzhong;CHEN Tao;LI Yao;ZHAO Hongpeng;WU Chenggao(College of Geoscience and Surveying Engineering,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

出　　处：《采矿与安全工程学报》2024年第6期1212-1221,共10页Journal of Mining & Safety Engineering

基　　金：国家自然科学基金项目(42274194)。

摘　　要：覆岩采动裂隙是良好的导水和瓦斯运移通道,为实现覆岩采动裂隙钻孔电阻率法监测数据的全空间电阻率反演,首先在采煤工作面钻孔电阻率法监测的不同阶段构建具有代表性的覆岩采动裂隙的“两带”地电模型,将不同模型下利用有限元方法计算得到的视电阻率数据作为BP神经网络(BPNN)全空间电阻率反演的训练集和测试集。其次,利用测试集对训练好的网络进行全空间电阻率反演测试。然后,构建检验模型对BPNN全空间电阻率反演结果分别与最小二乘法电阻率反演结果和检验模型电阻率数据拟合结果进行对比分析。最后,利用山西某矿9-204工作面覆岩采动裂隙发育最大高度现场实测结果检验BPNN全空间电阻率反演方法的效果。研究表明,在BPNN全空间电阻率反演结果中能够较精确地分辨覆岩采动裂隙发育位置和范围,区分钻孔上、下方覆岩采动裂隙。研究中实现了覆岩采动裂隙钻孔电阻率法监测数据的全空间电阻率反演,研究成果能够为覆岩采动裂隙钻孔电阻率法精确监测提供技术支撑。Mining-induced fractures in overburden(MOFs)are good channels for water and gas migration,and this study aims to perform full-space resistivity inversion on the evolution of MOFs monitored by the borehole resistivity method.First,representative“two-zone”geoelectric models of MOFs were constructed regarding different monitoring stages of the borehole resistivity method in the mining face.The apparent resistivity data calculated from different models by the finite element method were employed as the training set and test set of the back propagation neural network(BPNN)for full-space resistivity inversion.On this basis,full-space resistivity inversion tests were carried out on the trained network with the test set,and a test model was established to comparatively analyze the results of BPNN full-space resistivity inversion,the results of resistivity inversion by the least square method,and the fitting results of resistivity data by the test model.Finally,the effect of the BPNN full-space resistivity inversion method was tested by the field measurement results of the maximum heights of mining-induced fractures in the overburden of the 9-204 working face of a mine in Shanxi.The research results suggest that the BPNN full-space resistivity inversion method can accurately identify the location and range of MOFs and distinguish MOFs above and below the borehole.This study realized full-space resistivity inversion on the evolution of MOFs monitored by the borehole resistivity method.The research findings can provide technical support for the accurate monitoring of MOFs by the borehole resistivity method.

关 键 词：覆岩采动裂隙 钻孔电阻率法 监测 BPNN 全空间电阻率反演 

分 类 号：TD745[矿业工程—矿井通风与安全]