Localization of micro-cracks caused by high-pressure injection of fluids in permeable formations has an important role in the development of unconventional reservoirs. Hence, the seismic localization is an important aspect of the processing of surface microseismic data. In particular, the larger sensor counts and lower signal to noise ratios for these datasets mean that the localization is typically performed using stacking or coherency measures. In this paper, we introduce a semblance-based envelope-stacking approach and show the robustness of semblance as a coherency measurement tool. We test our approach using 2D synthetic data in noise-free and high noise conditions. The results show that the proposed approach is able to more precisely focus on the location of passive seismic events.


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