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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Target-oriented wavefield tomography using synthesized Born data
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Target-oriented wavefield tomography using synthesized Born data

机译:使用合成的Born数据进行面向目标的波场层析成像

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摘要

We present a new strategy for efficient wave-equationmigration-velocity analysis in complex geological settings.The proposed strategy has two main steps: simulating a newdata set using an initial unfocused image and performingwavefield-based tomography using this data set.We demonstratedthat the new data set can be synthesized by usinggeneralized Born wavefield modeling for a specific targetregion where velocities are inaccurate. We also showed thatthe new data set can be much smaller than the original onebecause of the target-oriented modeling strategy, but it containsnecessary velocity information for successful velocityanalysis. These interesting features make this new data setsuitable for target-oriented, fast and interactive velocitymodel-building. We demonstrate the performance of ourmethod on both a synthetic data set and a field data setacquired from the Gulf of Mexico, where we update the subsaltvelocity in a target-oriented fashion and obtain a subsaltimage with improved continuities, signal-to-noise ratio andflattened angle-domain common-image gathers.
机译:我们提出了一种在复杂地质环境中有效进行波方程迁移速度分析的新策略,该策略包括两个主要步骤:使用初始未聚焦图像模拟新数据集和使用该数据集进行基于波场的层析成像。可以通过对速度不准确的特定目标区域使用广义Born波场建模来合成集合。我们还表明,由于采用了面向目标的建模策略,因此新数据集可以比原始数据集小得多,但是它包含成功进行速度分析所需的速度信息。这些有趣的功能使此新数据集适用于面向目标的快速和交互式速度模型构建。我们在从墨西哥湾获取的合成数据集和现场数据集上展示了我们的方法的性能,在该数据集中,我们以面向目标的方式更新了盐下速度,并获得了具有改善的连续性,信噪比和平坦角度的盐下图像域共同图像收集。

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