散乱数据插值方法及其在背景速度建模中的应用

发布时间：2018-10-04 18:17

【摘要】：地震全波形反演(FWI)主要利用低频长偏移距透射波估计背景速度,有效的初始背景速度场对于透射波FWI和反射波FWI的有效应用都十分重要。因此,根据散乱的速度和界面深度信息,对不同来源、不同精度的散乱速度场插值产生背景速度模型是速度建模的核心环节之一。在总结了三角剖分法、自然邻域法、反距离加权插值法和径向基函数插值法以及克里金插值法等方法特点的基础上,采用三维克里金插值方法将实际测井数据插值成三维速度场,然后利用克里金方差融合策略和多尺度空间波数域Gabor变换两种方法对分别来自测井数据和来自偏移速度分析的速度场进行融合,融合后的速度场的精度得到了提高,成像质量明显改善。最后,对基于散乱数据支撑的特征速度场的描述问题进行了讨论,提出了多尺度特征速度场的表达策略。
[Abstract]:Seismic full wave inversion (FWI) mainly uses low frequency long offset transmission wave to estimate background velocity. Effective initial background velocity field is very important for the effective application of transmission wave FWI and reflected wave FWI. Therefore, according to the scattered velocity and interface depth information, it is one of the core links of velocity modeling to generate background velocity model for different sources and different precision interpolation of scattered velocity field. On the basis of summarizing the characteristics of triangulation method, natural neighborhood method, inverse distance weighted interpolation method, radial basis function interpolation method and Kriging interpolation method, etc. The 3D Kriging interpolation method is used to interpolate the actual logging data into 3D velocity field. Then, the Kriging variance fusion strategy and the multi-scale spatial wavenumber domain Gabor transform are used to fuse the velocity field from logging data and from migration velocity analysis, respectively, and the accuracy of the velocity field after fusion is improved. The imaging quality is obviously improved. Finally, the description of feature velocity field based on scattered data support is discussed, and the representation strategy of multi-scale characteristic velocity field is proposed.
【作者单位】：中国石油化工股份有限公司石油物探技术研究院;波现象与反演成像研究组WPI同济大学海洋与地球科学学院;
【基金】：国家重点基础研究发展计划(973计划)(2011CB201002) 国家自然科学基金(41374117) 国家科技重大专项(2011ZX05005-005-008HZ,2011ZX05006-002,2011ZX05023)共同资助~~
【分类号】：P631.4

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