论文标题
通过最大化光谱差距，无模拟的地震调查设计
A simulation-free seismic survey design by maximizing the spectral gap
论文作者
论文摘要
由于地震数据获取的巨大成本，已经开发了通过设计最佳缺失痕量重建算法来减少获得数据量的方法。这些技术旨在在现场记录尽可能少的数据，同时在未记录的调查区域中提供准确的波场重建。这是通过设计随机亚采样掩码来实现的，该掩模允许通过矩阵完成方法进行准确的波场重建。在这些最新结果的推动下，我们提出了一种无模拟的地震调查设计，旨在使用模拟的退火算法提高给定随机亚采样的质量，该算法迭代地增加了次采样蒙版的频谱差距，该属性最近与重建的质量相关联。我们证明，我们提出的方法改善了在现实的合成数据集上的固定子采样率的数据重建质量。
Due to the tremendous cost of seismic data acquisition, methods have been developed to reduce the amount of data acquired by designing optimal missing trace reconstruction algorithms. These technologies are designed to record as little data as possible in the field, while providing accurate wavefield reconstruction in the areas of the survey that are not recorded. This is achieved by designing randomized subsampling masks that allow for accurate wavefield reconstruction via matrix completion methods. Motivated by these recent results, we propose a simulation-free seismic survey design that aims at improving the quality of a given randomized subsampling using a simulated annealing algorithm that iteratively increases the spectral gap of the subsampling mask, a property recently linked to the quality of the reconstruction. We demonstrate that our proposed method improves the data reconstruction quality for a fixed subsampling rate on a realistic synthetic dataset.
