Abstract

The velocity model is a key factor that affects the accuracy of microseismic event location around tunnels. In this paper, we consider the effect of the empty area on the microseismic event location and present a 3D heterogeneous velocity model for excavated tunnels. The grid-based heterogeneous velocity model can describe a 3D arbitrarily complex velocity model, where the microseismic monitoring areas are divided into many blocks. The residual between the theoretical arrival time calculated by the fast marching method (FMM) and the observed arrival time is used to identify the block with the smallest residual. Particle swarm optimization (PSO) is used to improve the location accuracy in this block. Synthetic tests show that the accuracy of the microseismic event location based on the heterogeneous velocity model was higher than that based on the single velocity model, independent of whether an arrival time error was considered. We used the heterogeneous velocity model to locate 7 blasting events and 44 microseismic events with a good waveform quality in the Qinling No. 4 tunnel of the Yinhanjiwei project from 6 June 2017 to 13 June 2017 and compared the location results of the heterogeneous-velocity model with those of the single-velocity model. The results of this case study show that the events located by the heterogeneous velocity model were concentrated around the working face, which matched the actual conditions of the project, while the events located by the single-velocity model were scattered and far from the working face.

Highlights

  • During the excavation of a deeply buried tunnel, rockbursts are likely to occur as the working face advances [1]

  • The noise immunity of the heterogeneous velocity model (HVM)-based approach is analyzed by adding the arrival time error, and the single-velocity model (SVM)-based approach is compared to the HVM-based approach

  • To further test the practicality of the HVM-based method, we added a certain noise in the theoretical arrival time

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Summary

Introduction

During the excavation of a deeply buried tunnel, rockbursts are likely to occur as the working face advances [1]. Microseismic monitoring technology is used in many projects to provide rockburst warnings, allowing certain measures to be taken in advance of an event At present, this technology has achieved some success in avoiding danger from underground excavation [4,5,6,7,8,9]. Establishing a complex velocity model that is consistent with the actual engineering scenario is an important factor for improving the accuracy of MEL in a tunnel To solve this problem, Peng proposed a mesh-based velocity model [26], which can accurately generate an arbitrarily complex. Considering the influence of the empty area after excavation on the microseismic location, we proposed the use of the fast marching method (FMM) to accurately calculate the travel time of the microseismic wave from the source to the sensor.

Methodologies
Establishment of the Velocity Model around Tunnels
Block Localization
Accurate Location
Synthetic Tests
Establishment of the Tunnel Engineering Model
MEL Based on an HVM
Comparison and Analysis
Application to Real Data
Conclusions
Full Text
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