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Marine Towed Streamer Data-Reconstruction Based on Compressive Sensing

机译:基于压缩传感的海洋拖曳飘带数据重建

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In 2011, ConocoPhillips conducted a 3D towed streamer survey in Barents Sea, with optimized shot locations and cable configurations (NUOS design). The purpose of this unconventional survey was to test the ability of compressive sensing to increase the effective spatial bandwidth of the seismic data. In this paper, we describe an alternating direction method (AD-M) combined with a nonmonotone line search technique for seismic data reconstruction. It solves a general analysis-based optimization model derived from compressive sensing. This method is highly robust due to the nature of ADM, and able to quickly approach the global minimum for large-scale problems due to the nonmonotone line search. We applied this method to two acquired data sets in the same area—one with a NUOS design and one with a conventionally towed streamer. The, final imaging results show the significant improvement of resolution for both data sets obtained from applying the technology, and inspire future marine survey design and processing.
机译:2011年,Conocophillips在Marents Sea中进行了3D牵引式飘带调查,优化了拍摄位置和电缆配置(Nuos Design)。这种非常规调查的目的是测试压缩感测量增加地震数据的有效空间带宽的能力。在本文中,我们描述了交替方向方法(AD-M)与非单调线路搜索技术相结合用于地震数据重建。它解决了一种基于分析的优化模型,来自压缩感测。由于ADM的性质,这种方法是非常强大的,并且能够通过非单调线搜索快速接近全局最小值的全局最小问题。我们将该方法应用于与Nuos设计的两个获取的数据集,其中一个具有常规牵引拖缆的诺斯设计。最终的成像结果表明,从应用技术获得的数据集的分辨率的显着提高,并激发了未来的海洋调查设计和加工。

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