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本文提出了γ测井资料的现场解释方法并列举了模型测量结果的应用实例。文中所提出的现场解释方法的实质就是把连续γ测井记录按记录时间间隔0.2s变换成离散的γ强度测量值J_r(Z_i),并用3个反滤波运算子分别去乘3个离散的、顺次相邻的γ强度值J_r(Z_(i-1)),J_r(Z_i)和J_r(Z_(i+1)),然后按3点计算式求出深度Z_i处的铀含量值。为了验证该方法的有效性,列举了模型钻孔中γ测井资料的反褶积分层解释结果。作者认为,模型矿层的已知含量分布与反褶积解释结果间的差异主要是由于理想的响应函数与真实函数间的差异和γ测井记录中的各种误差所产生的。选择合理的形态系数值α有可能改进反褶积分层解释结果。
This paper presents a field interpretation method of γ logging data and lists examples of application of model measurement results. The essence of the on-site interpretation method proposed in this paper is to transform the continuous γ log records into discrete γ-intensity measurements J_r (Z_i) at recording time intervals of 0.2s and then use three inverse filter operators to multiply the three discrete γ- The values of uranium content at the depth Z_i are obtained by calculating the three-point calculation according to the adjacent γ-intensity values J_r (Z_ (i-1)), J_r (Z_i) and J_r (Z_i (i + 1) In order to verify the effectiveness of this method, the results of deconvolution stratification interpretation of γ logging data in the model borehole are listed. The author believes that the difference between the known content distribution and the deconvolution interpretation of the model seam is mainly due to the difference between the ideal response function and the true function and various errors in the gamma log record. Choosing a reasonable value of the morphological coefficient α may improve the deconvolution stratification interpretation.