A moment tensor inversion approach based on the correlation between defined functions and waveforms

The moment tensor inversion is a commonly-used method to interpret source mechanisms of microseismicity. In the for real data (e.g. microseismicity recorded during hydraulic fracturing), waveforms by sensors can be mixtures signals and noise, or superposition generated multiple sources. Then traditional approach may result in inaccurate solutions. this article, we developed new based on correlation between functions, which are defined characteristics signals. function determined specific parameters more sensitive signal source, less noise other coefficient calculated multiplying waveform mainly signal. moment-tensor solutions coefficients accurate. was evaluated synthetic tests. For filtering, compared with tradition approaches, improve accuracy than 50% at various levels. sources discrimination, discriminate provide accurate results simultaneously, but application limited. This aims very simple way, when distorted.