Energy and Frequency Characteristics of Microseismic Particles in a Complex Geological Model

Abstract

This study aims to better understand the energy–frequency characteristics of microseismic wave propagation by monitoring particles in complex geology. Artificial seismic source experiments are conducted using a complex geological model, and variational mode decomposition method is applied to process the microseismic signals, obtain reconstructed microseismic signals and decomposition modes, and calculate the microseismic particle input energy and signal energy at each measurement point. Computations derived from the Sadoff empirical formula are used to evaluate the attenuation of the microseismic particle input energy with the propagation distance. The relationships between microseismic wave center frequency and energy and between the microseismic particle input energy and microseismic signal energy are elucidated. The results show that the microseismic particle input energy follows a power exponential decay trend with increasing propagation distance; the values and distributions of the microseismic particle input energy and signal energy conform to a Gaussian trend in the frequency domain; various geological structures and combinations thereof impose frequency modulation effects on the microseismic wave, where the frequency modulation interval depends on the microseismic waves across the different interfaces; and the linear slope describing the relationship between microseismic particle input energy and signal energy can reflect the microseismic wave propagation state.

A Feasibility Study on Microseismic Monitoring of Rock Burst in Traffic Tunnels

“…Most rock burst processes are characterized by microseismic information precursors [109]. Most microseismic events and their energy evolution in the process of an instantaneous rock burst have self-similarity and fractal characteristics of time, energy, and space [110][111][112]. This indicates that the location and burst level of a direct rock burst can be predicted by microseismic monitoring information in most cases.…”