卡尔曼滤波在钻井地层电阻率测量中的应用

Application of Kalman Filtering in Resistivity Measurement in Drilling Well

卡尔曼滤波的主要思想是用状态方程和量测方程描述线性动态系统。本文将卡尔曼滤波应用于测井数据处理，利用滤波参数的特殊性，使处理过程得到简化，计算量减小。实例证明，经过卡尔曼滤波处理后，测井曲线的纵向分辨率有了显著提高，定量解释结果也接近于地层真值。

The main idea of Kalman filtering is to describe linear dynamic system by using state equation and measurement equation. In this paper, Kalman filtering is applied to logging data processing. Using the specialty of filtering parameters, the procedure is simplified and the cost of computation is decreased. The example shows: the vertical resolution of log curves is remarkably improved and the interpretation results are close to the true formation values.