小波分频技术在地震映像岩溶勘察中的应用
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摘要
地震映像法是浅层地质勘察的有效方法。目前岩溶区的地震映像勘察,主要根据原始记录波形特征进行地质目标解释识别,具有一定的局限性。频率是物质的固有属性,不同物质具有不同的反射波频段,提取反射波频段的特征信息,对目标地质体的解释非常有利。小波函数具有良好的局部化特征,在时间域和频率域都有较高的分辨率。利用离散平稳小波变换,实现对地震映像资料的分频处理,获取探测目标体对应频率特征的数据剖面,有利于提高地质解释的准确性和可靠性。将该方法应用于云南某高速公路岩溶勘察,取得了良好的效果。
Seismic Imaging Method is an effective way to the shallow geological prospecting.The identification and interpretation of geological objects using seismic survey in the karst area are primarily on the basis of the waveform characteristics of original records which have some limitations currently.Frequency is the inherent feature of material,and different materials have the different reflected wave bands.Extracting the feature information of the reflected wave bands is much favorable to the interpretation of geological objects.The wavelet function has the perfect localized features and the higher resolution in time and frequency domains.Using the DSWT(Discrete Stationary Wavelet Transform) implements the frequency-dividing of seismic imaging data,and gets the frequency characteristic profile data of detected objects,which is beneficial to improving the accuracy and reliability of geological interpretation.The method is applied to the karst prospecting of certain highway in Yunnan,and the perfect results have been obtained.
Seismic Imaging Method is an effective way to the shallow geological prospecting.The identification and interpretation of geological objects using seismic survey in the karst area are primarily on the basis of the waveform characteristics of original records which have some limitations currently.Frequency is the inherent feature of material,and different materials have the different reflected wave bands.Extracting the feature information of the reflected wave bands is much favorable to the interpretation of geological objects.The wavelet function has the perfect localized features and the higher resolution in time and frequency domains.Using the DSWT(Discrete Stationary Wavelet Transform) implements the frequency-dividing of seismic imaging data,and gets the frequency characteristic profile data of detected objects,which is beneficial to improving the accuracy and reliability of geological interpretation.The method is applied to the karst prospecting of certain highway in Yunnan,and the perfect results have been obtained.
引文
[1]杨祥森,林昀,崔德海.地震映像法在铁路隧道隐伏岩溶勘查中的应用[J].工程地球物理学报,2007,4(5):470~474.
[2]徐天吉,程冰洁.小波域地震信号的多尺度研究与应用[J].石油天然气学报,2007,29(5):80~83.
[3]吴招才,刘天佑.基于高阶统计量的小波阈值去噪方法在探地雷达中的应用[J].工程勘察,2007,(7):58~61.
[4]Vetterli M.Wavelets and filter banks:theory and design[J].IEEETransactions on Processing,1992,40(9):2218~2222.
[5]马朋善,高秀花,汪桂春等.小波分析在地震资料分频处理中的应用[J].特种油气藏,2007,14(3):35~38.
[6]李才明,王良书,徐鸣洁等.基于小波能谱分析的岩溶区探地雷达目标识别[J].地球物理学报,2006,49(5):1499~1504.
[2]徐天吉,程冰洁.小波域地震信号的多尺度研究与应用[J].石油天然气学报,2007,29(5):80~83.
[3]吴招才,刘天佑.基于高阶统计量的小波阈值去噪方法在探地雷达中的应用[J].工程勘察,2007,(7):58~61.
[4]Vetterli M.Wavelets and filter banks:theory and design[J].IEEETransactions on Processing,1992,40(9):2218~2222.
[5]马朋善,高秀花,汪桂春等.小波分析在地震资料分频处理中的应用[J].特种油气藏,2007,14(3):35~38.
[6]李才明,王良书,徐鸣洁等.基于小波能谱分析的岩溶区探地雷达目标识别[J].地球物理学报,2006,49(5):1499~1504.
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