Identification and Location Method of Microseismic Event Based on Improved STA/LTA Algorithm and Four-Cell-Square-Array in Plane Algorithm
Publication: International Journal of Geomechanics
Volume 19, Issue 7
Abstract
The key issue of microseismic (MS) monitoring technology is to detect MS events and accurately locate the MS source. On the basis of the traditional short-term average/long-term average (STA/LTA) algorithm, a new characteristic function has been proposed that can reflect the signal energy and dispersion. The results reveal that the improved method can accurately pick up the first arrival of MS events. A new monitoring network of the four-cell-square-array in plane algorithm is proposed, which can overcome the ill-conditioned problem of the objective equation. Taking into account the actual project, we designed the monitoring arrangement scheme for the surrounding rock around the underground cavern. The improved MS monitoring scheme can envelop the front of the cave and the dome and floor areas of the working face.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work was supported by the National Key Research and Development Program of China (Grant 2016YFC0801607), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University (Grant 2016zd13), State Key Laboratory for Mine Disaster Prevention and Control, cultivation base cobuilt by province and Ministry of Shandong University of Science and Technology (Grant MDPC201707), and the National Natural Science Foundation of China (Grant 51609129, 51709159). Great appreciation goes to the editorial board and the reviewers of this paper.
References
Bertoncini, C. A., and M. K. Hinders. 2010. “Fuzzy classification of roof fall predictors in microseismic monitoring.” Meas. 43 (10): 1690–1701. https://doi.org/10.1016/j.measurement.2010.09.015.
Boschetti, F., M. D. Dentith, and R. D. List. 1996. “A fractal-based algorithm for detecting first arrivals on seismic traces.” Geophysics 61 (4): 1095–1102. https://doi.org/10.1190/1.1444030.
Chen, Z., and R. R. Stewart. 2005. “A multi-window algorithm for real-time automatic detection and picking of P-phases of microseismic events.” CREWES Res. Rep. 18: 1288–1291.
Cheng, J. L., G. D. Song, T. Y. Liu, B. X. Hu, J. Q. Wang, and J. Y. Wang. 2016. “High precision location of micro-seismic source in underground coal mine.” Chin. J. Geophys. 59 (6): 734–743. https://doi.org/10.1002/cjg2.30021.
Cheng, S., S.-C. Li, L.-P. Li, S.-S. Shi, Z.-Z. Zhou, and J. Wang. 2018. “Study on energy band characteristic of microseismic signals in water inrush channel.” J. Geophys. Eng. 15 (5): 1826–1834. https://doi.org/10.1088/1742-2140/aaba28.
Gao, S. F., S. Y. Li, D. P. Wu, and Q. Ma. 2008. “An automatic identification method of seismic phase based on modified STA/LTA algorithm.” World Earthquake Eng. 24 (2): 37–41.
Geiger, L. 1912. “Probability method for the determination of earthquake epicenters from the arrival time only.” Bull. St. Louis Univ. 8 (1): 56–71.
Li, J., Y. T. Gao, Y. L. Xie, Y. Zhou, and K. Yang. 2015. “Improvement of microseism locating based on simplex method without velocity measuring.” Chin. J. Rock Mech. Eng. 33 (7): 1336–1346. http://www.rockmech.org/EN/Y2014/V33/I7/1336.
Liu, H., and J. Z. Zhang. 2014. “STA/LTA algorithm analysis and improvement of microseismic signal automatic detection.” Prog. Geophys. 29 (4): 1708–1714. https://doi.org/10.6038/pg20140429.
Liu, X., C. Tang, L. Li, P. Lv, and H. Liu. 2017a. “Microseismic monitoring and 3D finite element analysis of the right bank slope, Dagangshan Hydropower Station, during reservoir impounding.” Rock Mech. Rock Eng. 50 (7): 1901–1917. https://doi.org/10.1007/s00603-017-1191-5.
Liu, X.-M., J.-J. Zhao, Y.-M. Wang, and P. Peng. 2017b. “Automatic picking of microseismic events p-wave arrivals based on improved method of STA/LTA.” J. Northeastern Univ. Nat. Sci. 38 (5): 740–745. https://doi.org/10.3969/j.issn.1005-3026.2017.05.027.
Lü, J.-G., Y.-D. Jiang, Y.-X. Zhao, J. Zhu, X. Wang, and L. Tao. 2013. “Study of microseismic positioning based on steady simulated annealing-simplex hybrid algorithm.” Rock Soil Mech. 8: 2195–2203. https://doi.org/10.16285/j.rsm.2013.08.024.
Pang, H., F.-X. Jiang, and X.-M. Zhang. 2004. “Study on nonhomogeneous material’s AE by image processing method.” Rock Soil Mech. 25 (Suppl): 60–62. https://doi.org/10.16285/j.rsm.2004.s1.014.
Picozzi, M., A. Oth, S. Parolai D. Bindi, G. De Landro, and O. Amoroso. 2017. “Accurate estimation of seismic source parameters of induced seismicity by a combined approach of generalized inversion and genetic algorithm: Application to the Geysers geothermal area, California.” J. Geophys. Res. Solid Earth 122 (5): 3916–3933. https://doi.org/10.1002/2016JB013690.
Shi, X., F. Jiang, S. Zhu, and G. Yang. 2017. “Mechanism of integrated dynamic disaster of rock burst and water inrush: a new type of integrated dynamic disaster in China.” Geotech. Geol. Eng. 35 (3): 1261–1270. https://doi.org/10.1007/s10706-017-0170-7.
Stevenson, P. R. 1976. “Microearthquakes at Flaoasis:thead Lake, Montana: A study using automatic earthquake processing.” Bull. Seismol. Soc. Am. 66 (1): 61–80.
St-Onge, A. 2010. “Akaike information criterion applied to detecting first arrival times on microseismic data.” In SEG technical program expanded abstracts, 1658–1662. Tulsa, OK: Society of Exploration Geophysicists.
Wang, C. X., C. Y. Bai, and X. Wang. 2013. “Review of automatic onset time picking for seismic arrivals.” Prog. Geophys. 28 (5): 2363–2375. https://doi.org/10.6038/pg20130518.
Yu, J. H., D. D. Li, and G. D. Han. 2011. “Response analysis of the characteristic function and STA/LTA method improving.” Foreign Electron. Meas. Tech. 30 (7): 17–19. https://doi.org/10.3969/j.issn.1002-8978.2011.07.004.
Yu, Y., B. Chen, C. Xu, and X. Dhao. 2016. “Analysis for microseismic energy of immediate rockbursts in deep tunnels with different excavation methods.” Int. J. Geomech. 17 (5): 04016119. https://doi.org/10.1061/(ASCE)GM.1943-5622.0000805.
Yu, Y., D. Geng, L. Tong, and X. Zhao. 2018. “Time fractal behavior of microseismic events for different intensities of immediate rock bursts.” Int. J. Geomech. 18 (7): 06018016. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001221.
Information & Authors
Information
Published In
International Journal of Geomechanics
Volume 19 • Issue 7 • July 2019
Copyright
© 2019 American Society of Civil Engineers.
History
Received: Jun 28, 2018
Accepted: Dec 31, 2018
Published online: Apr 22, 2019
Published in print: Jul 1, 2019
Discussion open until: Sep 22, 2019
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.