Micro-seismic source location algorithm based on spatio-temporal distribution of arrival times

Micro-seismic source location algorithm based on spatio-temporal distribution of arrival times

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In order to improve the precision of the micro-seismic hypocenter location and the robustness of algorithms, the objective function construction and spatiotemporal region information use of the location algorithm based on time are studied.The simulation experiment is based on Numpy, the perfect arrival times subjoining random disturbance is used to simulate production situation.Result shows that the L1 and L2 objective folk rivet sweat functions deviate from the hypocenter and the deviation is quite common.To alleviate the pseudo source problem, the likelihood function of arrival times deviation is used as the basic function, and the information of space-time neighborhood is then click here combined as the new objective function.

The distribution of 4-dimension area algorithm (D4DA) reduces the positioning errors by 14% and 26% respectively in the two calibration gun positioning.