Toward autonomous event identification in wave-equation traveltime inversion

We have developed a method to automatically relate events between observed and synthetic data for wave-equation traveltime (WT) inversion. The scheme starts with local similarity measurements by applying crosscorrelation localized traces. then develop differentiable alternative the argmax function. By each time slice of map, we build difference function but keep this process differentiable. WT inversion requires only related through phase shift. Thus, must reject that are not apparently data. map implies possibility doing so indicates abrupt changes offset. To mitigate problem, introduced dynamic programming algorithm define warping Wave packets in assumed be if they connected exhibit high similarity. Only such considered subsequent calculation misfit adjoint source. Numerical examples demonstrate our successfully retrieves an informative model from roughly selected In contrast, based on or deconvolution fails do so.