同步压缩小波变换在油气检测中的应用  

Application of Synchrosqueezing Wavelet Transform(SWT) in Hydrocarbon Detection

作　　者：张志超[1] 张会星[1] 

机构地区：[1]中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛266100

出　　处：《中国煤炭地质》2016年第5期67-70,75,共5页Coal Geology of China

基　　金：国家自然科学基金"部分饱和孔隙介质中地震波的衰减和频散机理研究"(41204089)资助

摘　　要：地震波在穿过地下含油气区域时会表现为低频能量相对增强,高频能量相对衰减的特征,利用时频分析方法可以准确提取地震资料的低频能量和高频能量,进而据此确定油气分布范围。以东海某工区实际资料为例,进行目的层地震数据的小波变换和同步压缩小波变换,对比分析两种变换方法的频谱图。对比结果表明,同步压缩小波变换具有高时频分辨率的特征。利用同步压缩小波变换提取了该工区地震资料的低、高频能量并进行含气性检测,获得的结果与钻井数据高度吻合。When seismic waves pass through the areas containing oil and gas, the low frequency energy of the seismic waves will comparatively be enhanced and the high frequency energy will be wakened, which can be used in oil and gas reservoirs detection low frequency energy and high frequency energy extracting from seismic data through time-frequency analysis. Taking the actual data form an East China Sea work area as example, carried out target seismic data wavelet transform and SWT, comparatively analyzed frequency spectrograms from the two methods. The result has shown that the result from SWT has higher time-frequency features. Using SWT picked up work area seismic data low and high frequency energies and carried out gas-bearing property detection, the result is highly accord with drilling data.

关 键 词：同步压缩小波变换 时频分析 油气检测 

分 类 号：P631.4[天文地球—地质矿产勘探]