Volume 30 Issue 3
Jun.  2002
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CUI Ruo-fei, ZHONG Qi-tao, LI Jin-ping. Coal thickness interpretation prediction using seismic data[J]. COAL GEOLOGY & EXPLORATION, 2002, 30(3): 54-57.
Citation: CUI Ruo-fei, ZHONG Qi-tao, LI Jin-ping. Coal thickness interpretation prediction using seismic data[J]. COAL GEOLOGY & EXPLORATION, 2002, 30(3): 54-57.
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Coal thickness interpretation prediction using seismic data

  • China University of Mining and Technology, Xuzhou 221008, China

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  • Received Date: July 15, 2001
  • Available Online: March 30, 2023
    Graphical Abstract
    • Abstract
  • The seismic coal thickness assistant interpretation system,which is suit for coal seismic data interpretation,is worked out by using C++ language on the base of Windows.In this system,the neural network nonlinear inversion method is used to interpret thickness variation of coal seam.This method defines the nonlinear relationship of both coal thickness and seismic attribute parameters quantitatively and has high interpretation precision.The theoretical model and actual calculated results show that the seismic coal thickness assistant interpretation system can be used to interpret coal thickness and has better geological results.
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