Localization of induced microseismic events is an essential element of passive seismic monitoring. We have developed a novel approach for localization of microseismic events that simultaneously employs the surface and borehole observations. In our approach, we first independently calibrate the velocity models for event localization from the surface and borehole data using perforation shots visible on both datasets. Then, we select several large-magnitude events visible on both datasets and enforce their locations, obtained independently from the surface and borehole data, to coincide. We formulated the joint localization problem in a probabilistic fashion. The performance of the proposed algorithm was examined on a realistic synthetic data example. We compared the location results of clouds of microseismic events, obtained by inversion of the borehole data, surface data, and joint inversion. We found that for the majority of events the joint inversion provides superior results compared to the other methods.

Presentation Date: Monday, October 12, 2020

Session Start Time: 1:50 PM

Presentation Time: 4:45 PM

Location: 360A

Presentation Type: Oral

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