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交互式的速度分析是复杂构造探区速度模型建立的一种有效方法,为了使不同的速度模型在短时间内得到检测和标定,本文基于匹配追踪分解算法和tau-p域同相轴拾取技术,发展了一种快速叠前深度域高斯束偏移方法.根据tau-p域地震同相轴的振幅特征,本文采用匹配追踪算法对地震记录进行时间和空间上地稀疏分解,并将分解的时频原子应用于高斯束偏移,以达到压缩地震数据和提高偏移速率的目的.模型试算和实际资料处理结果表明:本文方法不仅能够对地下复杂构造和高陡反射面清晰成像,而且可使叠前地震数据压缩近数十倍,使深度域偏移的计算效率提高一个数量级以上.
Interactive velocity analysis is an effective method to establish the velocity model of complex exploration zones. In order to detect and calibrate different velocity models in a short period of time, this paper, based on the matching pursuit decomposition algorithm and the tau-p domain phase picking-up technique, A rapid prestack depth Gaussian beam migration method is developed.According to the amplitude characteristics of the tau-p domain seismic events, this paper uses matching pursuit algorithm to sparsely decompose seismic records in time and space, and decomposes the time-frequency The atom is applied to the Gaussian beam migration in order to compress the seismic data and increase the migration rate.The results of the model trial and actual data processing show that the proposed method can not only clearly image the complex underground structures and the high and steep reflecting surfaces, Pre-stack seismic data is compressed by tens of times, which improves the computational efficiency of depth domain offset by more than an order of magnitude.