An identification method for microseismic and blasting events based on source parameters

Abstract

This invention discloses a method for identifying microearthquake and blasting events based on hypocenter parameters. The method comprises the following steps: step 1, discriminants of the microearthquake events and the blasting events are acquired; determined N groups of microearthquake event and L groups of the blasting events are used as samples to acquire the discriminants of the microearthquake events and the blasting events as shown in the description; YE and YB are dependent variables of the discriminants of the microearthquake events and the blasting events separately; Xi(i=1,2,...6) is 6 values related to typical hypocenter parameters; Co and Ci are a constant term and an optimal coefficient corresponding to the Xi in the discriminant of the microearthquake events separately; Bo and Bi are the constant term and the optimal coefficient corresponding to the Xi in the discriminant of the blasting events separately; the Co, the Ci, the Bo and the Bi are obtained based on sample identification; both N and L are integers; N and L are not less than 10; step 2, a to-be-identified event is identified; the Xi corresponding to the to-be-identified event is valued and substituted into the discriminants of the microearthquake events and the blasting events to calculate the YE and the YB; if the YE is not less than the YB, the event is a microearthquake event; and if not, the event is a blasting event. The method has the characteristics of strong applicability, high accuracy, and the like.

Description

technical field [0001] The invention relates to a microseismic and blasting event identification method based on seismic source parameters, with clear results, strong applicability and high accuracy. Background technique [0002] Microseismic monitoring, as an effective means of ground pressure monitoring, has been widely used at home and abroad, and the identification of microseismic and blasting events is a key issue in the data processing process, so the research on the identification method of microseismic and blasting events is of great significance. However, the waveforms of microseismic and blasting events are relatively complex, and blasting events often cause repeated waveforms, and the separated single waveforms may be artificially misprocessed as microseismic events, causing serious consequences. At present, microseismic and blasting events are manually distinguished based on blasting time and waveform repetition within a day, but it is easily affected by the prof...

AI Technical Summary

Problems solved by technology

Wavelet analysis, wavelet packet analysis and frequency slice wavelet analysis have good adaptability, but are easily affected by the overlap of adjacent harmonic components in the signal, resulting in aliasing of signals in different frequency bands

[0005] It can be seen that the existing identification methods for microseismic events and blasting events have relatively large limitations, and it is necessary to study an automatic identification method with strong applicability and high accuracy

Images