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在现有资料基础上进一步提高地震资料分辨率,预测薄储层的空间展布规律是一项具有重要意义的工作,本文采用基于傅里叶算法连续小波变换分析技术进行地震信号的分解和重构,通过正演和准噶尔盆地西北缘实际地震资料分析表明本文给出的方法在保持地震资料信噪比的基础上能有效提高地震资料分辨率,突出薄互层的内部细节,其结果可用于精细刻画薄互层型地层的空间展布,有利于薄储层预测.
Based on the existing data, it is of great significance to further improve the resolution of seismic data and predict the spatial distribution of thin reservoirs. In this paper, we use the continuous wavelet transform analysis technique based on Fourier algorithm to decompose and weight the seismic signals Based on the forward seismic data and the actual seismic data analysis of the northwestern margin of Junggar Basin, the proposed method can effectively improve the resolution of seismic data and highlight the internal details of the thin interbed, while maintaining the signal-to- Finely depict the spatial distribution of thin interbedded strata, which is good for the prediction of thin reservoirs.