利用地震资料进行煤层厚度解释预测

利用C++语言基于Windows操作环境开发了适用于煤田地震资料解释的煤层厚度辅助解释系统。该系统采用人工神经网络非线性反演方法对煤层厚度变化进行解释,对煤层厚度和地震属性参数之间的非线性关系给出了定量描述,具有较高的解释精度。理论模型和实际资料试算结果表明:利用该系统进行煤层厚度解释,得到了较好的地质效果。 

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.