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Dispersion features of transmitted channel waves and inversion of coal seam thickness

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In-seam seismic survey currently is a hot geophysical exploration technology used for the prediction of coal seam thickness in China. Many studies have investigated the relationship between the group velocity of channel wave at certain frequency and the actual thickness of exposed coal beds. But these results are based on statistics and not universally applicable to predict the thickness of coal seams. In this study, we first theoretically analyzed the relationship between the depth and energy distribution of multi-order Love-type channel waves and found that when the channel wave wavelength is smaller than the thickness of the coal seam, the energy is more concentrated, while when the wavelength is greater than the thickness, the energy reduces linearly. We then utilized the numerical simulation technology to obtain the signal of the simulated Love-type channel wave, analyzed its frequency dispersion, and calculated the theoretical dispersion curves. The results showed that the dispersion characteristics of the channel wave are closely related to the thickness of coal seam, and the shear wave velocity of the coal seam and its surrounding rocks. In addition, we for the first time realized the joint inversion of multi-order Love-type channel waves based on the genetic algorithm and inversely calculated the velocities of shear wave in both coal seam and its surrounding rocks and the thickness of the coal seam. In addition, we found the group velocity dispersion curve of the single-channel transmitted channel wave using the time–frequency analysis and obtained the phase velocity dispersion curve based on the mathematical relationship between the group and phase velocities. Moreover, we employed the phase velocity dispersion curve to complete the inversion of the above method and obtain the predicted coal seam thickness. By comparing the geological sketch of the coal mining face, we found that the predicted coal seam thickness is in good agreement with the actual thickness. Overall, adopting the channel wave inversion method that creatively uses the complete dispersion curve can obtain the shear wave velocities of the coal and its surrounding rocks, and analyzing the depth of the abruptly changed shear wave velocity can accurately obtain the thickness of the coal seam. Therefore, our study proved that this inversion method is feasible to be used in both simulation experiments and actual detection.
Czasopismo
Rocznik
Strony
1001--1009
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • College of Earth and Environment Anhui University of Science and Technology Huainan China
autor
  • College of Earth and Environment Anhui University of Science and Technology Huainan China
autor
  • College of Earth and Environment Anhui University of Science and Technology Huainan China
Bibliografia
  • 1. Buyuk E, Zor E, Karaman A (2017) Rayleigh wave dispersion curve inversion by using particle swarm optimization and genetic algorithm. In: EGU general assembly conference. EGU general assembly conference abstracts
  • 2. Calderónmacías C, Luke B (2007) Improved parameterization to invert Rayleigh-wave data for shallow profiles containing stiff inclusions. Geophysics 72(1):1–10. https://doi.org/10.1190/1.2374854
  • 3. Du W, Peng S (2010) Coal seam thickness prediction with geostatistics. Chin J Rock Mech Eng 29(s1):2762–2767
  • 4. Feng S, Sugiyama T, Yamanaka H (2005) Effectiveness of multi-mode surface wave inversion in shallow engineering site investigations. Explor Geophys 58(1):26–33. https://doi.org/10.1071/EG05026
  • 5. Feng L, Du YY, Li SY et al (2018) Resolution analysis of in-seam seismic tomographic inversion for coal thickness. Prog Geophys 33(1):0197–0203. https://doi.org/10.6038/pg2018BB0061
  • 6. Forbriger T (2003) Inversion of shallow-seismic wave fields: II. Inferring subsurface properties from wavefield transforms. Geophys J R Astron Soc 153(3):719–734. https://doi.org/10.1046/j.1365-246X.2003.01985.x
  • 7. Hu Z, Zhang P, Xu G (2017) Research advances of seismic tomography technology in coal seam. Prog Geophys 32(6):2451–2459. https://doi.org/10.6038/pg20170623 (in Chinese)
  • 8. Ji GZ, Cheng JY, Zhu PM (2011) Numerical simulation of seam love type channel-wave and analysis on dispersion features [J]. Coal Sci Technol 39(6):106–109. https://doi.org/10.13199/j.cst.2011.06.112.jigzh.001
  • 9. Ji GZ, Cheng JY, Zhu PM et al (2012) 3-D numerical simulation and dispersion analysis of in-seam wave in underground coal mine. Chin J Geophys 55(2):645–654. https://doi.org/10.6038/j.issn.0001-5733.2012.02.028
  • 10. Lei F, Wang W, Li S, Yao X, Teng J, Gao X (2017) Research on the channel wave field characters of goaf in coal mine and its application. In: Di Q, Xue G, Xia J (eds) Technology and application of environmental and engineering geophysics. Springer Geophysics. Springer, Singapore
  • 11. Li G, Wang J, Niu H et al (2016a) Method and application of transmitted in-seam wave in detecting mine collapse. Coal Technol 35(12):135–137. https://doi.org/10.13301/j.cnki.ct.2016.12.050
  • 12. Li H, Zhu P, Ji G et al (2016b) Modified image algorithm to simulate seismic channel waves in 3D tunnel model with rugged free surfaces. Geophys Prospect 64(5):1259–1274. https://doi.org/10.1111/1365-2478.12351
  • 13. Li S, Lian J, Teng J et al (2017) Interpretation technology of coal seam thickness in mining face by ISS transmission method. J China Coal Soc 42(3):719–725. https://doi.org/10.13225/j.cnki.jccs.2016.0595
  • 14. Liu TF, Pan DM, Li DC, Li HS (1994) In-Seam seismic exploration. China University of Mining & Technology Press, Xuzhou, pp 51–52
  • 15. Luo Y, Xia J, Xu Y et al (2010) Finite-difference modeling and dispersion analysis of high-frequency love waves for near-surface applications. Pure Appl Geophys 167(12):1525–1536. https://doi.org/10.1007/s00024-010-0144-7
  • 16. Luo Y, Xia J, Xu Y et al (2011) Analysis of group-velocity dispersion of high-frequency Rayleigh waves for near-surface applications. J Appl Geophys 74(2):157–165. https://doi.org/10.1016/j.jappgeo.2011.04.002
  • 17. Ma S, Yang S, Zhu L et al (2016) Application of ISS exploration by transmission method in detection of small structures in coal mine. Coal Technol 35(6):98–99. https://doi.org/10.13301/j.cnki.ct.2016.06.040
  • 18. Räder D, Schott W, Dresen L et al (1985) Calculation of dispersion curves and amplitude-depth distributions of love channel waves in horizontal-layered media. Geophys Prospect 33(6):800–816. https://doi.org/10.1111/j.1365-2478.1985.tb00779.x
  • 19. Virieux J (1984) SH wave propagation in heterogeneous media: velocity stress finite-difference method. Geophysics 49:1933–1957. https://doi.org/10.1190/1.1442147
  • 20. Wang B, Liu S, Zhou F et al (2016a) Dispersion characteristics of SH transmitted channel waves and comparative study of dispersion analysis methods. J Comput Theor Nanosci 13(2):1468–1474. https://doi.org/10.1166/jctn.2016.5069
  • 21. Wang J, Li G, Wu G et al (2016b) Transmitted channel wave detecting technology of geologic anomalous body in coal mining face. Coal Sci Technol 44(6):159–163, 193. https://doi.org/10.13199/j.cnki.cst.2016.06.026
  • 22. Wang W, Xue G, Gao X et al (2016c) Channel wave tomographic imaging method and its application in detection of collapse column in coal [C]. In: International conference on environment and engineering geophysics & summit forum of Chinese Academy of Engineering on engineering science and technology
  • 23. Xia JH, Gao LL, Pan YD et al (2015) New findings in high-frequency surface wave method. Chinese J Geophys 58(8):2591–2605. https://doi.org/10.6038/cjg20150801 (in Chinese)
  • 24. Yamanaka H, Ishida H (1996) Application of genetic algorithm to an inversion of surface-wave dispersion data. Bull Seismol Soc Am 86(2):436–444. https://doi.org/10.1144/gsjgs.155.2.0323
  • 25. Yang XH, Cao SY, Li DC et al (2014) Analysis of quality factors for Rayleigh channel waves. Appl Geophys 11(1):107–114. https://doi.org/10.1007/s11770-014-0409-5
  • 26. Yang ST, Wei JC, Long CJ et al (2016) Numerical simulations of full-wave fields and analysis of channel wave characteristics in 3-D coal mine roadway models [J]. Appl Geophys 13(4):621–630. https://doi.org/10.1007/s11770-016-0582-9
  • 27. Yuan L (2017) Scientific conception of precision coal mining. J China Coal Soc 42(1):1–7. https://doi.org/10.13225/j.cnki.jccs.2016.1661
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2af88a71-a131-48dc-b2cc-77ca0cae9bd3
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