Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion

Figure 6

Fitting performance of the fractional-order Gaussian source-time function with a unified value on windowed waveforms before and after filtering referring to the optimal dominant frequency. (a) Fitting performance of broadband waveforms before filtering. For each waveform, the corresponding LPF could be performed on the synthetic waveforms with the highest cut-off frequency depending on its own optimal dominant frequency by the two-parameter grid search. Numbers on the right side represent the normalized correlation coefficient between the synthetic waveforms corresponding to the fractional-order Gaussian source-time function and the observed windowed waveforms. (b) Fitting performance of waveforms after a uniform LPF at a cut-off frequency of 120 Hz in (a). It can be seen that the correlation coefficient reflecting waveform fitting under this roughly unified LPF is obviously improved.

(a)

(b)