谱分解在含气检测中的应用  

Application of Spectral decomposition to gas detection

作　　者：张波[1] 王真理[1] 周水生[1] 潘永[2] 白博[2] 

机构地区：[1]中国科学院地质与地球物理研究所油气综合地球物理重点实验室,北京100029 [2]中国石油大学(华东)地球资源与信息学院,东营257061

出　　处：《地球物理学进展》2010年第4期1360-1364,共5页Progress in Geophysics

基　　金：国家重点基础研究发展计划项目(2005CB422104)资助

摘　　要：由于含气砂岩的非均质性,地震波在经过含气砂岩时高频能量衰减强,低频能量衰减弱.从而在储层的下方可能出现低频强振幅的阴影区.因此,可用时频分析直接对储层的含气性进行检测.时频连续小波变换是对连续小波变换方法的改进.变换的结果是时频域,不需要尺度-频率的转换;且时频分辨率高.本文将它用于储层含气性检测.Because of the heterogeneity, when seismic propagates through gas-bearing sandstone, the high frequency will attenuate strongly while the low frequency attenuation is much weaker. Then, low-frequency shadow may occur below the gas reservoirs. Therefore, time-frequency analysis can be directly used to detect the gas in the reservoirs. Time-frequency continuous wavelet transform （TFCWT） is a new time-frequency analysis method which comes from the improvement of continuous wavelet transform （CWT）. Its domain is directly time-frequency and its resolution is mtlch higher than CWT. In this paper, TFCWT is directly used to detect the gas in the reservoirs.

关 键 词：低频阴影 时频分析 连续小波变换 时频连续小波变换 含气检测 

分 类 号：P631[天文地球—地质矿产勘探]