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Efficient wavefield inversion in acoustic VTI media applied to field data

机译:应用于野外数据的声波VTI介质中的高效波场反演

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Full-waveform inversion (FWI) is now often used to retrieve high-resolution velocity models in marine datasets. Directly matching the predicted data with the recorded ones at the sensor locations, results in a highly nonlinear optimization problem. Besides its inherent high nonlinearity (manifested in one form in the cycle-skipping problem), considering the anisotropic reality of the true Earth, a multi-parameter inversion imposes additional Null space and the tradeoff issues. To solve these problems, we formulate an optimization problem referred to as an efficient wavefield inversion (EWI) to retrieve multi-parameters. EWI uses background models to reconstruct the wavefield efficiently by introducing an enhanced source function (which includes secondary sources). In this setup, the inversion for the wavefield is linear and efficient. The anisotropic parameters are inverted in a separate direct optimization using the wavefield and the enhanced source function in an efficient matter (no modeling involved). We demonstrate the effectiveness of the proposed method on an Australian marine real data, and compare inverted results with check shot velocity information from a well.
机译:全波形反演(FWI)目前常用于反演海洋数据集中的高分辨率速度模型。直接将预测数据与传感器位置的记录数据进行匹配,会导致一个高度非线性的优化问题。考虑到真实地球的各向异性现实,多参数反演除了其固有的高度非线性(以跳周期问题的一种形式表现)外,还带来了额外的零空间和权衡问题。为了解决这些问题,我们提出了一个称为有效波场反演(EWI)的优化问题来反演多个参数。EWI通过引入增强的源函数(包括次级源),使用背景模型有效地重建波场。在这种装置中,波场的反演是线性和有效的。各向异性参数在一个单独的直接优化中反转,使用波场和有效物质中的增强源函数(不涉及建模)。我们在澳大利亚海洋真实数据上证明了该方法的有效性,并将反演结果与油井的检查炮速信息进行了比较。

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