感应测井自适应反褶积处理与地层参数的提取方法

The Adaptive Deconvolution of Induction Logging Curves and the Method of Extracting Formation Parameters.

首先对 3个典型地层模型的高分辨率感应测井 (HRI)模拟资料进行了自适应反褶积处理 ,提高了纵向分辨能力和减少围岩的影响。为了提取地层的纵向边界和每层的电阻率以便于测井解释 ,提出了一种提取地层参数的特征识别方法 ,即利用测井曲线和经过自适应反褶积处理得到的测井曲线对地层深度的相对一次导数的绝对值曲线的极大值位置来确定地层的纵向边界 ,取经自适应反褶积处理得到的测井曲线对地层深度的相对一次导数绝对值曲线极小值处的响应值作为该层的电阻率。对 3个典型地层模型处理结果表明 。

The simulated HRI logging data on the three typical formation models have been processed with adaptive deconvolution technique. The results obtained show that it can improve the vertical responses and reduce the shoulder effect. In order to extract the layers boundaries and resistivity for the log interpretation, a characteristic recognition method on picking bed parameters from the logging curves is proposed. The method described begins by picking bed boundaries from the position of maximal value points of the relative first derivative absolute value of the actual logging curves and the resulted curves corresponding to depths with the adaptive deconvolution technique. It then picks the bed resistivities from the logging responses at the minimal value points of the relative first derivative absolute value of the resulted curves with the adaptive deconvolution technique to depth. As a result, it is found that the method is successful.