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Moment Tensor Inversion and Stress Evolution of Coal Pillar Failure Mechanism

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Abstract

Irregular coal pillars left in longwall working faces are prone to stress concentration, resulting in failure and instability of coal pillar. Revealing the failure mechanism of the coal pillars is essential for the accurate prevention of coal pillar-type rockburst. Based on the geological conditions and the residual coal pillars in the 14320 working face of the Dongtan coal mine, this study investigates the failure mechanism and stress evolution characteristics in the abnormal area with irregular coal pillars through microseismic (MS) monitoring, moment tensor inversion, and velocity tomography of MS. The results show that (1) the MS events at the edge of the coal pillars are significantly more greater than those in the core area, in which, failure types of tension and compression occur in the edge and core areas, respectively; (2) the spatial parameters (strike φ, dip angle δ, slip angle γ) of the failure plane in the irregular coal pillar area were determined. The boundary of the irregular coal pillars was dominated by reverse fault sliding, and the core area is dominated by normal fault sliding; and (3) the stress field distribution characteristics of the working face and irregular coal pillars were determined using P-wave velocity tomography. The research findings provide a reference for analyzing the mechanisms of coal pillar failure, instability and the induced rockbursts.

Highlights

  • Moment tensor theory is used to analyze the fracture mechanism of coal pillar in mines.

  • Moment tensor theory reveals rupture types and occurrence of the rupture face in different regions of coal pillar.

  • Stress evolution law of coal pillar is obtained by microseismic velocity tomography.

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References

  • Aki K, Richards PG (1980) Quantitative seismology: theory and methods. W.H. Freeman, San Francisco

    Google Scholar 

  • Akram J, Eaton DW (2014) A review and appraisal of arrival-time picking methods for downhole microseismic data. Geophysics 81(2):KS67–KS87

    Google Scholar 

  • Bardainne T, Gaucher E (2010) Constrained tomography of realistic velocity models in microseismic monitoring using calibration shots. Geophys Prospect 58(5):739–775

    Article  Google Scholar 

  • Barthwal H, Baan M (2019) Microseismicity observed in an underground mine: source mechanisms and possible causes. Geomech Energy Environ 22:100167

    Article  Google Scholar 

  • Cao AY, Dou LM, Wang CB et al (2016) Microseismic precursory characteristics of rock burst hazard in mining areas near a large residual coal pillar: a case study from Xuzhuang Coal Mine, Xuzhou, China. Rock Mech Rock Eng 49(11):1–16

    Google Scholar 

  • Cesca S, Rohr A, Dahm T (2013) Discrimination of induced seismicity by full moment tensor inversion and decomposition. J Seismol 17(1):147–163

    Article  Google Scholar 

  • Charalampidou EM, Stanchits S, Kwiatek G, Dresen G (2015) Brittle failure and fracture reactivation in sandstone by fluid injection. Euro J Environ Civ Eng 19(5):564–579

    Article  Google Scholar 

  • Charles M, Ge M (2018) Enhancing manual P-phase arrival detection and automatic onset time picking in a noisy microseismic data in underground mines. Int J Min Sci Technol 28(4):691–699

    Article  Google Scholar 

  • Crampin S (2007) Quantitative seismology: theory and methods, volumes I and II by Keiiti Aki and Paul G. Richards. W. H. Freeman and Co., San Francisco. Price: £41•40. Geol J 16(1):90–90

    Article  Google Scholar 

  • Dong L, Wesseloo J, Potvin Y et al (2016) Discrimination of mine seismic events and blasts using the Fisher classifier, Naive Bayesian classifier and logistic regression. Rock Mech Rock Eng 49(1):183–211

    Article  Google Scholar 

  • Gilbert F (1971) Excitation of the normal modes of the earth by earthquake sources. Geophys J Int 22(2):223–226

    Article  Google Scholar 

  • Hirata A, Kameoka Y, Hirano T (2007) Safety management based on detection of possible rock bursts by ae monitoring during tunnel excavation. Rock Mech Rock Eng 40(6):563–576

    Article  Google Scholar 

  • Huang NE, Shen Z, Long SR et al (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Math Phys Eng Sci 454(1971):903–995

    Article  Google Scholar 

  • Knopoff L, Randall MJ (1970) The compensated linear-vector dipole: a possible mechanism for deep earthquakes. J Geophys Res 75(26):4957–4963

    Article  Google Scholar 

  • Kuperkoch L, Meier T, Lee J et al (2010) Automated determination of P-phase arrival times at regional and local distances using higher order statistics. Geophys J Int 182(2):1159–1170

    Google Scholar 

  • Leonard M (2000) Comparison of manual and automatic onset time picking. Bull Seismol Soc Am 90(6):1384–1390

    Article  Google Scholar 

  • Li H, Wang R, Cao S (2015) Microseismic forward modeling based on different focal mechanisms used by the seismic moment tensor and elastic wave equation. J Geophys Eng 2:155–166

    Article  Google Scholar 

  • Liang Z, Xue R, Xu N et al (2020) Characterizing rockbursts and analysis on frequency-spectrum evolutionary law of rockburst precursor based on microseismic monitoring. Tunn Undergr Space Technol 105:103564

    Article  Google Scholar 

  • Linzer LM (2005) A relative moment tensor inversion technique applied to seismicity induced by mining. Rock Mech Rock Eng 38(2):81–104

    Article  Google Scholar 

  • Linzer L, Mhamdi L, Schumacher T (2015) Application of a moment tensor inversion code developed for mining-induced seismicity to fracture monitoring of civil engineering materials. J Appl Geophys 112:256–267

    Article  Google Scholar 

  • Lu CP, Dou LM, Zhang N et al (2014) Microseismic and acoustic emission effect on gas outburst hazard triggered by shock wave: a case study. Nat Hazards 73(3):1715–1731

    Article  Google Scholar 

  • Ma K, Tang CA, Liang ZZ et al (2017) Stability analysis and reinforcement evaluation of high-steep rock slope by microseismic monitoring. Eng Geol 218:22–38

    Article  Google Scholar 

  • Ma K, Sun XY, Tang CA et al (2020) An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor. J Central South Univ 27(10):3133–3148

    Article  Google Scholar 

  • Mohan GM, Sheorey PR, Kushwaha A (2001) Numerical estimation of pillar strength in coal mines. Int J Rock Mech Min Sci 38(8):1185–1192

    Article  Google Scholar 

  • Ohtsu M (1995) Acoustic emission theory for moment tensor analysis. Res Nondestr Eval 6(3):169–184

    Article  Google Scholar 

  • Pavlis GL (2003) An introduction to seismology, earthquakes, and earth structure by Seth Stein and Michael Wysession. Seismol Res Lett 74(6):824–825

    Article  Google Scholar 

  • Peng SS (2008) Coal mine ground control, 3rd ed. Peng SS Publisher, Morgantown

  • Poulsen BA (2010) Coal pillar load calculation by pressure arch theory and near field extraction ratio. Int J Rock Mech Min Sci 47(7):1158–1165

    Article  Google Scholar 

  • Rudzinski L, Cesca S, Lizurek G (2016) Complex rupture process of the 19 March 2013, Rudna Mine (Poland) induced seismic event and collapse in the light of local and regional moment tensor inversion. Seismol Res Lett 87(2A):274–284

    Article  Google Scholar 

  • Soma N, James TR (2013) Relocation of microseismicity using reflected waves from single-well, three-component array observations: application to CO2 injection at the Aneth oil field-ScienceDirect. Int J Greenh Gas Control 19(21):74–91

    Article  Google Scholar 

  • Sun Y, Li B, Dong L et al (2021) Microseismic moment tensor based analysis of rock mass failure mechanism surrounding an underground powerhouse. Geomat Nat Haz Risk 12(1):1315–1342

    Article  Google Scholar 

  • Vavryčuk V (2011) Tensile earthquakes: theory, modeling, and inversion. J Geophys Res Solid Earth. https://doi.org/10.1029/2011JB008770

    Article  Google Scholar 

  • Vavryčuk V (2015) Moment tensor decompositions revisited. J Seismol 19(1):231–252

    Article  Google Scholar 

  • Wagner H (1980) Pillar design in coal mines. J S Afr Inst Min Metall 80:37–45

    Google Scholar 

  • White JE (1980) quantitative seismology, theory and methods volume I and volume II by Keiiti Aki and Paul G. Richards. J Acoust Soc Am 68(68):1546

    Article  Google Scholar 

  • Xue R, Liang Z, Xu N et al (2020) Rockburst prediction and stability analysis of the access tunnel in the main powerhouse of a hydropower station based on microseismic monitoring. Int J Rock Mech Min Sci 126:104174

    Article  Google Scholar 

  • Zhang B, Tian X, Ji B et al (2019) Study on microseismic mechanism of hydro-fracture propagation in shale. J Petrol Sci Eng 178:711–722

    Article  Google Scholar 

  • Zhang P, Yu Q, Li L et al (2020) The radiation energy of AE sources with different tensile angles and implication for the rock failure process. Pure Appl Geophys 177(7):3407–3419

    Article  Google Scholar 

  • Zhao Y, Wang H, Liu S et al (2018) Dynamic failure risk of coal pillar formed by irregular shape longwall face: a case study. Int J Min Sci Technol 28(5):775–781

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge the collaborative funding support from the National Natural Science Foundation of China (51574225, 52104102). The data used in this study are available from the authors.

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Correspondence to Cai-Ping Lu.

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Song, CH., Lu, CP., Zhang, XF. et al. Moment Tensor Inversion and Stress Evolution of Coal Pillar Failure Mechanism. Rock Mech Rock Eng 55, 2371–2383 (2022). https://doi.org/10.1007/s00603-022-02783-1

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  • DOI: https://doi.org/10.1007/s00603-022-02783-1

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