信噪比谱约束的自适应谱模拟反褶积方法研究

Adaptive spectral modeling deconvolution based on the constraint of signal to noise ratio spectrum

反褶积是提高地震资料分辨率的重要方法,子波估计与反褶积算子设计是反褶积方法的两个重要方面.本文在分析谱模拟法与自相关法各自特点的基础上,将两种方法的优势相结合,提出了自适应谱模拟方法,提高了谱模拟方法的适应性和准确性.在反褶积算子计算过程中对误差能量进行加权,减少了反褶积过程中处理噪音的产生,同时引入信噪比谱约束,以达到保证信噪比的前提下合理提升地震资料分辨率的目的.

The deconvolution is an important method of improving the resolution of seismic data. There are two important aspects in deconvolution, including the wavelet estimation and deconvolution operator designing. Based on the analysis of the characteristics of spectral modeling method and autocorrelation method, we propose a method of adaptive spectral modeling which combine the advantages of the two methods to improve the adaptability and accuracy of the spectral modeling method. Weighting the error energy in the process of deconvolution operator designing can reduce the noise in the deconvolution process. At the same time, the introduction of the constraints of signal to noise ratio （SNR） spectrum can improve the resolution and ensure the premise of SNR of seismic data.