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为了更精确预测煤层厚度变化,分析了波阻抗反演与煤厚的相关性,对测井资料和反演后的合成地震波振幅进行线性回归,建立了原生煤的正演模型.将该模型应用到非井点的地震属性上,利用同位协同克里金方法实现了对淮北桃园矿区煤层厚度的预测,结果与已知钻孔探测资料十分吻合,证明了利用地震振幅预测煤厚以及分类正演模型是可行的.
In order to predict the variation of coal seam thickness more accurately, the correlation between wave impedance inversion and coal thickness is analyzed, and the linear regression of logging data and the amplitude of synthetic seismic wave after inversion is carried out to establish the forward model of primary coal. To the seismic attributes of non-well point, the prediction of coal seam thickness in Taoyuan mining area, Huaibei, is carried out by using the co-located collaborative Kriging method. The result is in good agreement with the known drilling data, which proves that predicting coal thickness based on seismic amplitude and classifying forward Model is feasible.