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基于伊通盆地双二段储层岩性变化快,沉积模式复杂等特点,利用小波变换对测井信号进行去高频噪音处理,再运用多分辨率分析、小波包分析对该研究区目的层段流体进行识别.结果表明:去噪处理后的信号在保持原有信号特性的基础上,将高频噪音产生的影响去除,具有高保真,高信噪比的优点.运用小波分析理论,结合分频能量叠加原理对储层流体进行识别,解释正确率在80%以上,远优于常规解释方法,有效地解决了在复杂岩性区块油水层识别难度大的问题.
Based on the characteristics of rapid change of lithology and complex sedimentary model of Shuang 2 Member in Yitong Basin, the de-noised high frequency noise of logging signals is processed by wavelet transform. Then, by multi-resolution analysis and wavelet packet analysis, The results show that the denoising signal has the advantages of high fidelity and high signal to noise ratio by removing the influence of high frequency noise while maintaining the original signal characteristics.Based on the wavelet analysis theory and combining The principle of frequency-superposition energy is used to identify the reservoir fluid, and the interpretation accuracy is above 80%, which is much better than the conventional interpretation method, which effectively solves the problem of difficulty in identifying oil-water layers in complex lithologic blocks.