【摘要】 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。更多还原

【Abstract】 In tomographic statics seismic data processing,it is crucial to determine an optimum base for a near-surface model.In this paper,we consider near-surface model base determination as a global optimum problem.Given information from uphole shooting and the first-arrival times from a surface seismic survey,we present a near-surface velocity model construction method based on a Monte-Carlo sampling scheme using a layered equivalent medium assumption.Compared with traditional least-squares first-arrival tomography,this scheme can delineate a clearer,weathering-layer base,resulting in a better implementation of datuming correction.Examples using synthetic and field data are used to demonstrate the effectiveness of the proposed scheme.更多还原