晋牛煤矿北部2号煤层埋藏浅( 0~200 m ),且分布大面积不同年代的小窑采空区,由于上组煤2号煤地震信噪比低,反射波不连续,直接判别其采空区范围有一定难度。为了识别采空区分布范围,为巷道部署提供依据,利用三维地震数据体的空间属性优势,应用下组煤10号煤的相干属性、振幅属性及波形聚类等,识别、判定其上组煤采空区及陷落柱范围,取得了良好的效果。结合地震剖面特征,综合判定识别采空区的平面分布范围,为后续的采掘奠定了地质基础。
The No. 2 coal seam in the northern part of Jinniu Coal Mine was shallow (0-200 m) and distributed in small kiln goaf areas of different ages. Due to the low seismic signal-to-noise ratio of the No. 2 coal seam, the reflected wave was discontinuous. It was difficult to determine the extent of the goaf. In order to identify the distribution range of the goaf, providing the basis for the roadway deployment, using the spatial attribute advantages of the 3D seismic data volume, and applying the coherent properties, amplitude properties and waveform clustering of the coal No. 10 coal to identify and determine the coal, the goaf area and the collapse column range achieved good results. Combined with the characteristics of the seismic section, the comprehensive determination determined the plane distribution range of the goaf, which layed a geological foundation for the subsequent mining and deployment.
李建平1,潘永学2. 地震属性技术探测采空区在晋牛煤矿的应用[J]. 煤炭与化工, 2019, 42(1): 72-76,80.
Li Jianping1, Pan Yongxue2. Application of seismic attribute technology to detect goaf in Jinniu Mine. CCI, 2019, 42(1): 72-76,80.