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Passive Seismic Tomography at Rudna Copper Ore Mine

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Seismic tomography is a technique widely used to image the Earth’s interior at various scales, from the very local subsurface to the whole Earth’s interior. Successful tomographic applications in seismology have opened the question of whether, or not, the method can also be helpful in assessing the safety of mining operations. Long-time efforts and accumulated evidence with tomography imaging carried out at the Rudna copper mine clearly indicate that this is really the case. Repeating imaging of velocity distributions reveals that the observed temporal changes provide information that is useful for improving the safety of mining processes. In this paper, we describe our experience of performing seismic passive velocity tomography at the Rudna copper ore mine in the south-western part of Poland. We consider only the last 10 years, when the geophysical unit of Rudna copper mine began using an advanced modern tomography software developed originally for this mine.
Rocznik
Tom
Strony
339--352
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
autor
  • Institute of Geophysics, Polish Academy of Sciences
autor
  • AGH University of Science and Technology
autor
  • KGHM Polska Miedź S.A. O/ZG „Rudna”
Bibliografia
  • [1] Aki K., Richards P. G., 2009, Quantitative seismology, University Science Books, 700 pp.
  • [2] Bijwaard H., Spakman W., Engdahl E., 1998, Closing the gap between regional and global travel time tomography, Journal of Geophysical Research, 103 (B12), 30055-30078, DOI: 10.1029/98JB02467.
  • [3] Bosch M., Barnes C., Mosegaard K., 2000, Multi-Step samplers for improving efficiency in probabilistic geophysical, [in:] Methods and applications of inversion, P. C. Hansen, B. H. Jacobsen, K. Mosegaard (eds.), Lecture Notes in Earth Sciences, 92, Springer, 50-67.
  • [4] Cardarelli E., Cerrto A., 2002, Ray tracing in elliptical anisotropic media using the linear traveltime interpolation (LTI) method applied to traveltime seismic tomography, Geophysical Prospecting, 50 (1), 55-72, DOI: 10.1046/j.1365-2478.2002.00297.x.
  • [5] Cerveny V., 2001, Seismic ray theory, Cambridge University Press, New York, 722 pp.
  • [6] Dębski W., 2002, Imaging rock structure using acoustic waves: methods and algorithms, [in:] Seismogenic process monitoring, H. Ogasawara, T. Yanagidani, M. Ando (eds.), CRC Press, 309-326.
  • [7] Dębski W., 2004, Application of Monte Carlo techniques for solving selected seismological inverse problems, Publications of the Institute of Geophysics, Polish Academy of Science, B-34 (367), 207 pp.
  • [8] Dębski W., 2010, Probabilistic inverse theory, Advances in Geophysics, 52, 1-102, DOI: 10.1016/S0065-2687(10)52001-6.
  • [9] Dębski W., 2013, Bayesian approach to tomographic imaging of rock-mass velocity heterogeneities, Acta Geophysica, 61 (6), 1395-1436, DOI: 10.2478/s11600-013-0148-7.
  • [10] Dubiński J., Pilecki Z., Zuberek W. M. (eds.), 2001, Badania geofizyczne w Kopalniach, IGSMiE PAN, Kraków, 526 pp.
  • [11] Friedel M., Jackson M. J., Wiliams E. M., Olson M. S., Westman E., 1996, Tomographic imaging of coal pillar conditions: observations and implications, International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 33 (3), 279-290, DOI: 10.1016/0148-9062(95)00061-5.
  • [12] Gibowicz S. J., 2009, Seismicity induced by mining: recent research, Advances in Geophysics, 51, 1-563, DOI: 10.1016/S0065-2687(09)05106-1.
  • [13] Gibowicz S. J., Kijko A., 1994, An introduction to mining seismology, Academic Press, 399 pp.
  • [14] Iyer H. M., Hirahara K., 1993, Seismic tomography: theory and practice, Springer, 864 pp.
  • [15] Jeffreys H.,1988, Theory of probability, Oxford University Press, 470 pp.
  • [16] Kijko A., 1994, Seismological outliers: L1 or adaptive Lp norm application, Bulletin of Seismological Society of America, 84 (2), 473-477.
  • [17] Masson Y., Romanowicz B., 2017, Box tomography: localized imaging of remote targets buried in an unknown medium, a step forward for understanding key structures in the deep Earth, Geophysical Journal International, 211 (1), 141-163, DOI: 10.1093/gji/ggx141.
  • [18] Maxwell S. C., Young R. P., 1993, Comparison between controlled source and passive source seismic velocity images, Bulletin of the Seismological Society of America, 83 (6), 1813-1834.
  • [19] Mosegaard K., Tarantola A., 2002, Probabilistic approach to inverse problems, [in:] International handbook of earthquake & engineering seismology. Part A, W. Lee, P. Jennings, C. Kisslinger, H. Kanamori (eds.), Academic Press, 237-265.
  • [20] Nolet G. (ed.), 1987, Seismic tomography with applications in global seismology and exploration geophysics, Springer, Dodrecht, 386 pp.
  • [21] Rudziński L., Dębski W., 2011, Extending the double difference location technique for mining applications – part I: numerical study, Acta Geophysica, 59 (4), 785-814, DOI: 10.2478/s11600-011-0021-5.
  • [22] Rudziński Ł., Mirek J., Lizurek G., 2017, Identification of seismic doublets occurred on Rudna mine, Poland, Acta Geophysica, 65 (2), 287-298, DOI: 10.1007/s11600-017-0034-9.
  • [23] Tarantola A., 1987, Inverse problem theory: methods for data fitting and model parameter estimation, Elsevier, 613 pp.
  • [24] Tarantola A., 2005, Inverse problem theory and methods for model parameter estimation, Society for Industrial and Applied Mathematics, Philadelphia, 342 pp.
  • [25] Wiejacz P., Dębski W., 2001, New observation of Gulf of Gdansk seismic events, Physics of the Earth and Planetary Interiors, 123 (2-4), 233-245, DOI: 10.1016/S0031-9201(00)00212-0.
  • [26] Zollo A., D’Auria L., Matteis R. D., Herrero A., Virieux J., Gasparini P., 2002, Bayesian estimation of 2-D P-velocity models from active seismic arrival time data: imaging of the shallow structure of Mt Vesuvius (southern Italy), Geophysical Journal International, 151 (2), 566-582, DOI: 10.1046/j.1365-246X.2002.01795.x.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-df7db563-1e95-4469-a9c4-480a0d8fdf0e
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