本文详细研究了小波变换的定义及小波变换的特性，并就其特性与傅里叶变换性质的区别进行了研究。通过分析我们选择了零通小波变换用于薄储层的识别，计算了小坡变换对Sine函数的分解和用小波重构原始记录。文中给出了不同模型下的合成记录及其分解围，推断出用相位个数的增加来判别薄层存在的标准及用这种方法所能分辨的地层厚度为λ／6。小波变换分解法同时也可以识别多薄层组合的存在。 In this paper, the definition of wavelet transform and the characteristics of wavelet transform are studied in detail, and the differences between its properties and the Fourier transform properties are studied. By analyzing the zero-pass wavelet transform we chose for the identification of thin reservoirs, the Slope function was decomposed by wavelet transform and the original records were reconstructed by wavelet. In this paper, the synthetic records and their decompositions are given under different models. The criterion for judging the existence of thin layers with the increase of the number of phases is deduced and the formation thickness is λ / 6. Wavelet transform decomposition method can also identify the existence of multi-thin layer combination.