Quantitative imaging of subsurface earth properties in elastic media is performed from distributed acoustic sensing data. A new misfit functional based upon the reciprocity gap is designed, taking crosscorrelations of displacement and strain, and these products further associate an observation with a simulation. In comparison with other misfit functionals, this functional has the advantage of only requiring little a priori information on the exciting sources. In particular, the misfit criterion enables the use of data from regional earthquakes (teleseismic events can be included as well), followed by exploration data to perform a multiresolution reconstruction. The data from regional earthquakes contain the low-frequency content that is missing in the exploration data, allowing for the recovery of the long spatial wavelength, even with very few sources. These data are used to build prior models for the subsequent reconstruction from the higher frequency exploration data. This results in the elastic full reciprocity-gap waveform inversion method, and we illustrate its performance with a pilot experiment for elastic isotropic reconstruction.

中文翻译：

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互差间隙失配功能，用于分布式声学感应，将来自被动和主动源的数据进行组合

弹性介质中地下地球属性的定量成像是根据分布式声学传感数据进行的。设计了一种基于互易间隙的新失配函数，并考虑了位移和应变的互相关，并且这些乘积进一步将观察与仿真相关联。与其他失配功能相比，该功能的优点是仅需要很少的先验信息即可获得令人兴奋的信息。特别是，失配准则允许使用来自区域地震的数据（也可以包括地震事件），然后使用勘探数据执行多分辨率重建。来自区域地震的数据包含勘探数据中缺少的低频成分，从而可以恢复长的空间波长，即使来源很少。这些数据用于建立先前的模型，以便根据更高频率的勘探数据进行后续重建。这样就产生了弹性全互易间隙波形反演方法，并且我们通过进行弹性各向同性重构的先导实验来说明其性能。