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Determination of First Arrival Wave Type of Microseismic Signals and Approach to Wave Velocity Correction

Song, G., Cheng, J., Hu, B., Zhu, F., Zhang, H., Liu, T., Sun, T. ORCID: 0000-0003-3861-8933 and Grattan, K. T. V. ORCID: 0000-0003-2250-3832 (2021). Determination of First Arrival Wave Type of Microseismic Signals and Approach to Wave Velocity Correction. Shock and Vibration, 2021, 6631374.. doi: 10.1155/2021/6631374

Abstract

Given the complex environment experienced in working mines, the vibration waves produced by processes such as rock fracture in deep formations usually show interference effects when monitored due to other signals, the so-called “clutter” in the signal, which are interfered with the clutter. At the same time, owing to the influence of system noise, the first arrival time and the arrival time difference values of the signals obtained cannot easily be determined accurately. The propagation model for the microseismic signals experienced and the discrimination method used to determine the first arrival wave type can be established using knowledge of the spatial geometry between the sensors used and the seismic source. Thus, the filtering of the actual from the abnormal wave signals is possible. Using the theory of signal cross-correlation in this work, a correction method for the arrival velocity of the first microseismic signal has been proposed and evaluated. By calculating the cross-correlation coefficient of the same source vibration signal and finding the position that corresponds to the maximum value of the cross-correlation coefficient, the arrival time difference between the signals seen in the two channels is obtained. Thus, the key conclusions can be drawn from the experiments carried out: when the signal-to-noise ratio of the original signal is low, the time difference can still be determined with high accuracy. Further, a wave velocity correction criterion has also been proposed, where the velocity correction of the S wave or the R wave can be realized by combining the spatial coordinate information on the blasting point and an algorithm representing the signal cross-correlation to arrival time difference is used.

Publication Type: Article
Additional Information: Copyright © 2021 GuangDong Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
Date available in CRO: 23 Apr 2021 11:23
Date deposited: 23 April 2021
Date of acceptance: 3 February 2021
Date of first online publication: 1 March 2021
URI: https://openaccess.city.ac.uk/id/eprint/25962
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