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在地震数据实施层析静校正的过程中,底界的确定非常关键。实际生产中经常尝试多个底界,将能够产生最优高频静校正效果与最优叠加效果的底界作为最优底界。本文将底界的确定作为一个最优化问题,提出将微测井与大炮初至波作为先验信息,基于Monte Carlo方法中的随机采样寻优方式,在层状等效介质假设下,实现了对最优近地表速度结构的建立。相比常规最小平方意义下的初至波确定性反演方法,这种方法得到的等效速度模型具有更为清晰的底界,更加有利于基准面校正的实施,能够获得更好的高频静校正处理结果,理论与实际数据的计算证实了上述观点。
In the process of seismic tomography static correction, the determination of the bottom boundary is crucial. In the actual production often try a number of bottom boundaries, will be able to produce the best high-frequency static correction effect and the optimal superposition of the bottom effect as the optimal bottom. In this paper, we choose the bottom boundary as an optimization problem. We propose to use the micro-well logging and the first arrivals of artillery as prior information and based on the random sampling optimization method in the Monte Carlo method. Under the assumption of the layered equivalent medium, Establishment of Optimal Near-Surface Velocity Structure. Comparing with the first-arrival definitive inversion method in the sense of conventional least squares, the equivalent velocity model obtained by this method has a clearer bottom line, which is more conducive to the implementation of datum correction and can achieve better high-frequency Static correction results, theoretical and practical data to confirm this view.