Journal of Northeastern University ›› 2004, Vol. 25 ›› Issue (9): 903-906.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Forecast to coal/gas outburst area through pattern recognition method

Nan, Cun-Quan (1); Feng, Xia-Ting (1)   

  1. (1) Sch. of Resources and Civil Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-09-15 Published:2013-06-25
  • Contact: Nan, C.-Q.
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Abstract: Based on the coal/gas outburst characteristics of the 13-1 coal seam in Panyi Coal Mine, the outburst mechanism was explored. The erupted or extruded type of the coal seam is regarded as mainly caused by the tectonic stresses. How to forecast the coal/gas outburst area and its practice are discussed from the point of view of various control factors and engineering feasibility. The abnormality of the physical-mechanical properties of the coal and rock supported by roofs and information on gas are the basic characteristics and inevitably the general character causing the hazardous erupted or extruded outburst areas mainly due to tectonic stresses. The area forecast is proposed the way it should be based on sufficient data mining for the exploration and log information in combination with multi-factor pattern recognition approach by using an advanced classification algorithm of the support vector machine. Such a forecast is not only based on a theoretical foundation but provide engineering practicability and operability. The forecast results obtained are in good conformation with the measured data of the 13-1 coal seam in Panyi Coal Mine.

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