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Characterization and `Source-Receiver' Continuation of Seismic Reflection Data

机译:地震反射数据的表征和“源-接收器”的延续

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摘要

In reflection seismology one places sources and receivers on the Earth's surface. The source generates elastic waves in the subsurface, that are reflected where the medium properties, stiffness and density, vary discontinuously. In the field, often, there are obstructions to collect seismic data for all source-receiver pairs desirable or needed for data processing and application of inverse scattering methods. Typically, data are measured on the Earth's surface. We employ the term data continuation to describe the act of computing data that have not been collected in the field. Seismic data are commonly modeled by a scattering operator developed in a high-frequency, single scattering approximation. We initially focus on the determination of the range of the forward scattering operator that models the singular part of the data in the mentioned approximation. This encompasses the analysis of the properties of, and the construction of, a minimal elliptic projector that projects a space of distributions on the data acquisition manifold to the range of the mentioned scattering operator. This projector can be directly used for the purpose of seismic data continuation, and is derived from the global parametrix of a homogeneous pseudodifferential equation the solution of which coincides with the range of the scattering operator. We illustrate the data continuation by a numerical example.
机译:在反射地震学中,人们将源和接收器放置在地球表面上。源在地下产生弹性波,该弹性波在介质属性,刚度和密度不连续变化的地方被反射。在该领域中,通常存在收集数据处理和逆散射方法应用所需或需要的所有源-接收器对的地震数据的障碍。通常,数据是在地球表面上测量的。我们使用数据延续一词来描述尚未在现场收集的计算数据的行为。地震数据通常由以高频,单次散射近似法开发的散射算子建模。我们最初专注于确定前向散射算子的范围,该算子以所述近似值对数据的奇异部分进行建模。这包括对最小椭圆投影仪的特性和结构的分析,该椭圆投影仪将数据采集歧管上的分布空间投影到上述散射算子的范围。该投影仪可直接用于地震数据的延续,并且是从齐次伪微分方程的整体参数导出的,该方程的解与散射算符的范围一致。我们通过一个数值示例来说明数据延续。

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  • 来源
    《Communications in Mathematical Physics》 |2006年第1期|1-19|共19页
  • 作者单位

    Center for Computational and Applied Mathematics Purdue University 150 N. University Street West Lafayette IN 47907 USA;

    Department of Mathematics University of Washington Seattle WA 98195-4350 USA;

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