基于小波变换的频谱分解在煤矿巷道探测中的应用  

Application of spectral decomposition based on wavelet transform in coal mine roadway detection

作　　者：李君 马丽[1,2] 秦永军 薛海军[1,2] 

机构地区：[1]陕西省煤田物探测绘有限公司,陕西西安710005 [2]国土资源部煤炭资源勘查与综合利用重点实验室,陕西西安710026

出　　处：《煤炭科技》2017年第2期92-94,共3页Coal Science & Technology Magazine

基　　金：国土资源部煤炭资源勘查与综合利用重点实验室项目(ZZ2016-2)

摘　　要：利用山西某矿的常规三维地震数据进行小波变换的频谱分解,经过精细分析研究,结果表明利用该技术在不同的地质构造情况下,可以查明已掘进煤层巷道的分布情况,而且异常体特征反映明显,研究结果与实际掘进巷道资料边界吻合度较高。采用这种技术方法,可以有效识别煤矿生产中掘进巷道的分布情况,对于在煤矿安全生产中存在的采空区、精细巷道解释及异常构造体的识别中具有很强的现实意义,在煤田勘探中进行推广,可以有效提高地震预测特殊地质异常体的能力与精度。Based on the conventional 3D seismic data of a mine in Shanxi Province, the spectrum decomposition of wavelet transform was carried out,through detailed analysis, the results show that using the technology in geological structure under different situations, the distribution of excavated coal roadway can be detected, and abnormal characteristics reflect obviously,the research results were coincident with the actual situation of roadways. By using this technology, the distribution of roadway can effectively identified, it is of great practical significance for the identification of coal mine goaf roadway, fine interpretation and abnormal structure in safety production.Once it is promoted in coalfield exploration, the prediction ability and accuracy of special geological anomalous body can been effectively improved.

关 键 词：频谱分解 煤矿巷道 小波变换 地震勘探 

分 类 号：P631[天文地球—地质矿产勘探]