考虑参数不确定性的井筒压力实时校正方法研究

Research on Real-Time Wellbore Pressure Correction Method Considering Parameter Uncertainty

为提高井筒压力预测的准确性和实时性,集合卡尔曼滤波被引入井筒压力预测模型,设计了考虑参数不确定性的实时校正方法。该模型综合考虑输入参数的不确定分布范围,以集合卡尔曼滤波为基础,利用实测数据进行实时校正,提高了井筒压力预测的准确性和实时性。

To improve the accuracy and real-time performance of wellbore pressure prediction,Ensemble Kalman Filtering is introduced into the wellbore pressure prediction model,and a real-time correction method considering parameter uncertainty is designed.This model comprehensively considers the uncertain distribution range of input parameters,based on Ensemble Kalman filtering,and uses measured data for real-time correction,improving the accuracy and real-time performance of wellbore pressure prediction.