Determination of the time-dependent moment tensor using time reverse imaging

We have developed an approach to determine the time-dependent moment tensor and origin time in addition commonly derived locations of seismic events using reverse imaging (TRI). It is crucial locate characterize occurring microseismicity without making a priori assumptions about sources fully understand subsurface processes inducing seismicity. Low signal-to-noise ratios (S/Ns) often force standard methods make or only selected larger magnitude events. In TRI, microearthquakes are located by back propagating full-recorded time-reversed wavefield through velocity model until it ideally convergences on source location. Therefore, less affected low S/Ns potentially locates characterizes most After distinguishing artificial convergence from locations, quality location tensors recording stress at determined during propagation wavefield. A robust workflow synthetic test cases realistic scenario with models that approximate true and/or noisy displacement traces. The influence rudimentary source-location accuracy characterization significant. Our handles these less-than-optimal station distributions models. Finally, successfully applied field data recorded geothermal Los Humeros, Mexico. Although 1D currently available, (time-dependent) could be for