摘要
近年来逐步应用到地震勘探上的小波变换，由于它具有良好的时频局部性和不受限制地调整分析分辨率的特点，倍受重视。本文在小波理论分析的基础上，结合模式识别方法，提取了三种小波参数，作为地震特征参数，进行油气检测。经过实际资料试算，效果显著。小波参数的预测结果表明提取的小波参数是较好的地震特征参数，利用该参数进行油气预测完全可行。
Gradually finding its places in seismic exploration in recent years, the wavelet transform isnow drawing more and more attention to itself both bccausc of its good localization of tilne andfrcqucney and bccausc of its unlimited adjustment of resolut ion. In this papor, based on theorcticalanalysis of wavclct and combincd with pattern rccognition method, three kinds of waveletparamctcrs are cxtracted which are taken as charactcristic parameters for the detection of oil andgas. The trial and crror processing of rcal data has given us much better results which show thatthc cxtracted wavclet parameters arc bettcr in seismic characteristic, and can bc pract icabiy uscdto predict oil and gas.
出处
《石油物探》
EI
CSCD
北大核心
1996年第4期52-58,75,共8页
Geophysical Prospecting For Petroleum
关键词
小波变换
模式识别
油气预测
地震勘探
Wavelet Transform,Seismic Characteristic Parameters, Pattern Recognition,Oil and Gas Detection
