Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

In order to quantitatively evaluate the relationship between the tomographic images of P wave velocity and rock burst hazard, the seismic velocity tomography was used to generate the P wave velocity tomograms during the retreat of a longwall panel in a coal mine. Subsequently, a novel index (bursting strain energy) was proposed to characterize the mining seismic hazard map. Finally, the structural similarity (SSIM) index in the discipline of image quality assessment was introduced to quantitatively assess the relation between the bursting strain energy index images and the tomographic images of P wave velocity. The results show that the bursting strain energy index is appropriate for quantitative analysis and seems to be better for expressing the mining seismic hazard than the conventional map. The SSIM values of the future bursting strain energy compared with the P wave velocity and the current bursting strain energy reach up to 0.8908 and 0.8462, respectively, which illustrate that the P wave velocity and the bursting strain energy both are able to detect the rock burst hazard region. Specifically, seismic velocity tomography is superior to the bursting strain energy index in the detection range and the precision and accuracy of detection results.

[1]  Crustal strain characteristics derived from earthquake sequences , 1951 .

[2]  B. Gutenberg,et al.  Progress Report, Seismological Laboratory, California Institute of Technology, 1950 , 1951 .

[3]  C. Scholz.  The frequency-magnitude relation of microfracturing in rock and its relation to earthquakes , 1968 .

[4]  Gene Simmons,et al.  Stress‐induced velocity anisotropy in rock: An experimental study , 1969 .

[5]  P. Gilbert.  Iterative methods for the three-dimensional reconstruction of an object from projections. , 1972, Journal of theoretical biology.

[6]  M. Zoback,et al.  Empirical relationships among seismic velocity, effective pressure, porosity, and clay content in sandstone , 1989 .

[7]  G. Brãuner.  Rockbursts in Coal Mines and Their Prevention , 1994 .

[8]  D. F. Scott,et al.  3-D tomographic imaging of anomalous conditions in a deep silver mine , 1995 .

[9]  A. Frankel.  Mapping Seismic Hazard in the Central and Eastern United States , 1995 .

[10]  D. F. Scott,et al.  Temporal imaging of mine-induced stress change using seismic tomography , 1997 .

[11]  R. L. Wesson,et al.  USGS National Seismic Hazard Maps , 2000 .

[12]  H Reginald Hardy,et al.  Acoustic Emission/Microseismic Activity: Volume 1: Principles, Techniques and Geotechnical Applications , 2003 .

[13]  D. Kracke,et al.  Local seismic hazard assessment in areas of weak to moderate seismicity—case study from Eastern Germany , 2004 .

[14]  E. Westman,et al.  Use of tomography for inference of stress redistribution in rock , 2003, IEEE Transactions on Industry Applications.

[15]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[16]  I. Meglis,et al.  Assessing in situ microcrack damage using ultrasonic velocity tomography , 2005 .

[17]  A. Lavrov,et al.  Effect of Confining Stress on Acoustic Emission in Ductile Rock , 2005 .

[18]  K. Luxbacher,et al.  Three-dimensional time-lapse velocity tomography of an underground longwall panel , 2008 .

[19]  A. Lurka.  Location of high seismic activity zones and seismic hazard assessment in Zabrze Bielszowice coal mine using passive tomography , 2008 .

[20]  Xun Luo,et al.  Tomographic Imaging of Rock Conditions Ahead of Mining Using the Shearer as a Seismic Source—A Feasibility Study , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Erik Westman,et al.  Investigation of the stress imaging in rock samples using numerical modeling and laboratory tomography , 2009 .

[22]  Jimin Wang,et al.  Preliminary engineering application of microseismic monitoring technique to rockburst prediction in tunneling of Jinping II project , 2010 .

[23]  Possibility of more precise analytical prediction of rock mass energy changes with the use of passive seismic tomography readings , 2010 .

[24]  He Hu,et al.  Study on optimal configuration of seismological observation network for coal mine , 2010 .

[25]  K. Xia,et al.  Seismological method for prediction of areal rockbursts in deep mine with seismic source mechanism and unstable failure theory , 2010 .

[26]  Kourosh Shahriar,et al.  Studying the stress redistribution around the longwall mining panel using passive seismic velocity tomography and geostatistical estimation , 2013, Arabian Journal of Geosciences.

[27]  Xuwei Li,et al.  Active velocity tomography for assessing rock burst hazards in a kilometer deep mine , 2011 .

[28]  Guo-fa Wang,et al.  New development of sets equipment technologies for coal mine long-wall face in China , 2012 .

[29]  Feng Mei-hua.  Rockburst hazard evaluation model based on seismic CT technology , 2012 .

[30]  Hu He,et al.  Rockburst hazard determination by using computed tomography technology in deep workface , 2012 .

[31]  D. Amitrano.  Variability in the power-law distributions of rupture events , 2012 .

[32]  J. Kornowski,et al.  Prediction of rockburst probability given seismic energy and factors defined by the expert method of hazard evaluation (MRG) , 2012, Acta Geophysica.

[33]  Kourosh Shahriar,et al.  Passive seismic velocity tomography on longwall mining panel based on simultaneous iterative reconstructive technique (SIRT) , 2012 .

[34]  Liu Hui,et al.  A case study of micro-seismic monitoring: goaf water-inrush dynamic hazards , 2012 .

[35]  K. Shahriar,et al.  Passive seismic velocity tomography and geostatistical simulation on longwall mining panel / Tomografia pasywna pola prędkości i symulacje geostatystyczne w obrębie pola ścianowego , 2012 .

[36]  Mu Zong-long.  Study of correlation between stress and longitudinal wave velocity for deep burst tendency coal and rock samples in uniaxial cyclic loading and unloading experiment , 2012 .

[37]  He Hu.  Experimental Study on the Correlation Between Stress and P-Wave Velocity for Burst Tendency Coal-Rock Samples , 2012 .

[38]  Haijiang Zhang,et al.  Time-lapse Passive Seismic Velocity Tomography of Longwall Coal Mines: A Comparison of Methods , 2012 .

[39]  Jiang Yao-don,et al.  State of the art review on mechanism and prevention of coal bumps in China , 2014 .

[40]  Dou Lin-min.  Dynamic risk assessment of rock burst based on the technology of seismic computed tomography detection , 2014 .