Saengduean Patipan, Yang Jihyun, Shragge Jeffrey, Snieder Roel, Wakin Michael B
Department of Geophysics, Colorado School of Mines, Golden, Colorado 80401, USA.
Department of Electrical Engineering, Colorado School of Mines, Golden, Colorado 80401, USA.
J Acoust Soc Am. 2024 Aug 1;156(2):1309-1318. doi: 10.1121/10.0028123.
Seismic data recorded by distributed acoustic sensing (DAS) interrogator units on deployed optical fiber are being used for a variety of subsurface imaging and monitoring investigations. To reduce the costs of active-source DAS surveying applications, seismic interferometry can be applied to estimate inter-sensor wavefields from DAS records. However, recording long-term records for ambient interferometry requires considerable data storage and sections of DAS optical fibers may be unusable because of broadside sensitivity considerations from the DAS fiber orientation and due to localized coherent energy sources with amplitudes significantly larger than the ambient signal of interest. Compressive sensing, a wavefield reconstruction technique, can mitigate the problems of large data storage and unusable data. We apply compressive sensing-based multi-source wavefield reconstruction to estimate correlograms of ambient DAS records from a fiber array in Perth, Australia. The multi-source method uses all available virtual-source gathers for simultaneous wavefield reconstruction and is different from the conventional single-source method that separately reconstructs individual virtual-source gathers. Using the Fourier and curvelet transforms to sparsify interferometric wavefields, we show that multi-source reconstruction is applicable to the DAS data and that the Fourier multi-source reconstruction can improve the recovered wavefields by approximately 5-10 dB, compared to the Fourier and curvelet single-source wavefield reconstructions.
分布式声学传感（DAS）询问单元在已部署光纤上记录的地震数据正被用于各种地下成像和监测调查。为降低有源震源DAS测量应用的成本，地震干涉测量法可用于从DAS记录中估计传感器间波场。然而，为环境干涉测量记录长期记录需要大量数据存储，并且由于DAS光纤方向的宽边灵敏度考虑以及由于幅度明显大于感兴趣的环境信号的局部相干能量源，DAS光纤的部分可能无法使用。压缩感知作为一种波场重建技术，可以减轻大数据存储和不可用数据的问题。我们应用基于压缩感知的多源波场重建来估计来自澳大利亚珀斯光纤阵列的环境DAS记录的互相关图。多源方法使用所有可用的虚拟震源道集进行同时波场重建，这与分别重建单个虚拟震源道集的传统单源方法不同。利用傅里叶变换和曲波变换来稀疏干涉波场，我们表明多源重建适用于DAS数据，并且与傅里叶变换和曲波变换单源波场重建相比，傅里叶多源重建可以将恢复的波场提高约5 - 10 dB。
