利用小波参数进行油气预测

Oil and gas prediction via wavelet parameters

1. 大庆物探研究所, 大庆163357;2. 大庆勘探开发研究院, 大庆163712

Research Institute of DQGPC Daqing 163357

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 because of its good localization of tilne andfrcqucney and because of its unlimited adjustment of resolut ion. In this papor, based on theorcticalanalysis of wavelet and combincd with pattern recognition method, three kinds of wavelet parameters are extracted 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 that the extracted wavelet parameters are better in seismic characteristic, and can be practicabiy used to prediet oil and gas.