【摘要】 地震数据子波提取,是地震资料反褶积处理、波阻抗反演以及正演模拟的基础工作.准确的地震子波估计技术对于高分辨率、高信噪比、高保真度的地震勘探数据处理具有极为重要的意义.在过去的二三十年中,数字信号处理理论、非线性理论、优化理论得到了很大发展,这些为地震子波提取技术和方法注入了新的巨大活力.本文首先简要地说明了与地震子波紧密相关的褶积模型,然后对地震子波提取现状进行了概括阐述,最后给出了地震子波提取前景屉望.更多还原

【Abstract】 Wavelet extraction of seismic data is a basic task in the processing of seismic data deconvolution,impedance inversion and forward modeling.For the seismic data processing of high resolution,high signal-to-noise ratio and high fidelity,it has an extreme significance to estimate seismic wavelet accurately.Over the past twenty years,theories and techniques in digital signal processing,non-linear sciences and optimization have made great development,and their uses come down to the seismic data processing,at the same time it gives great impetus to the development of the technique and method of the seismic wavelet extraction.In this paper,we first briefly explain the convolution model with the closest relation to the seismic wavelet,then we give a summary of seismic wavelet extraction.Finally we simply discuss the prospect of the seismic wavelet extraction.更多还原