用于分布式声学传感的互易间隙失配函数，结合来自无源和有源源的数据
Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources
摘要：
从分布式声传感数据中进行弹性介质中地下地球性质的定量成像。设计了一种新的基于互易间隙的失配泛函，考虑了位移和应变的互相关，这些产品进一步将观察与模拟相关联。与其他的失配泛函相比，该泛函具有只需要很少的激励源先验信息的优点。特别是，失配标准使得能够使用来自区域地震的数据（也可以包括地震事件），然后是勘探数据来执行多分辨率重建。区域地震数据包含勘探地震中缺失的低频内容，即使震源很少，也可以恢复长空间波长。这些数据被用来建立先验模型，用于从高频勘探数据进行后续重建。这给出了弹性全互易间隙波形反演方法，我们证明了它的性能与弹性各向同性重建的试点实验。
英文摘要：
Quantitative imaging of sub-surface Earth's properties in elastic media is performed from Distributed Acoustic Sensing data. A new misfit functional based upon the reciprocity-gap is designed, taking cross-correlations of displacement and strain, and these products further associate an observation with a simulation. In comparison with other misfit functionals, this one has the advantage to only require 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 multi-resolution reconstruction. The data from regional earthquakes contain the low-frequency content which is missing in the exploration ones, 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 gives the elastic Full Reciprocity-gap Waveform Inversion method, and we demonstrate its performance with a pilot experiment for elastic isotropic reconstruction.
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