Coal thickness interpretation prediction using seismic data

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.