卡尔曼滤波方法在自然伽马能谱测井中的应用

The Application of Kalman Filter in the Natural Gamma Spectrum Well Logs

将卡尔曼滤波方法用于自然伽马能谱测井，由五能窗记数率估计出地层的钍、铀、钾含量。由于地层变化的未知性，采用马尔科夫过程予以描述。实测数据处理结果表明了方法的有效性。

The Kalman filter is used in the Natural Gamma spectrum well logs. The concentrations of thorium, uranium and potassium are estimated from the five energy windows datas influenced by the statistical ebb-and-flows. As the stratigraphic change is unknown , the Gauss Markov process is used to destribe the change. The real measurement well logging datas are treated and the results show the effectivity of the method.