【摘要】 针对应用单一波反演难以更准确、更全面地重构地下速度信息及层析正反演中网格剖分大小相互矛盾的问题,本文采用Humphreys等[1]的数据加权算法,对模型空间和数据空间进行加权,并在反演中采用多尺度渐进层析反演;通过比较模型上各种波的理论旅行时与实际拾取的旅行时残差,更新模型速度及界面深度参数。模型资料试算结果表明,应用初至波与反射波旅行时联合层析整体上要优于单一波旅行时层析的结果;多尺度渐进层析反演能有效地解决层析正反演网格剖分大小的矛盾;在一定范围内,随着反演网格尺度的逐渐减小,反演精度也会逐渐提高。实际资料试算结果表明该方法是可行的,可以为高精度地震勘探提供精细的速度模型。更多还原

【Abstract】 For the single-wave inversion,it is usually very difficult to reconstruct accurate underground velocity information.And mesh sizes in the forward modeling and inversion are different in the tomography.In order to deal with these problems,we use data weighting algorithms such as Humphreys algorithm to model space and data space,and then use multi-scale netsize inversion strategy.Finally we update the model velocity and interface depth parameters by difference of the traveltimes calculated from the model and seismic records.The test results from theoretical model show that the joint tomography of first-break and reflection traveltime is better than the single wave traveltime tomography.Multi-scale netsize inversion can effectively deal with the problem of different mesh sizes in the forward modeling and inversion of tomography.The smaller netsize will be used in the inversion,the more accurate inversion result will be obtained.Real data tests show that this method is feasible and it can provide fine velocity model for seismic exploration.更多还原