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

作　　者：侯晓东 卢华涛[1] 张爽 席志旭 HOU Xiaodong;LU Huatao;ZHANG Shuang;XI Zhixu(China Oilfield Services Limited,Langfang,Hebei 065201,China)

机构地区：[1]中海油田服务股份有限公司,河北廊坊065201

出　　处：《自动化应用》2024年第8期19-21,共3页Automation Application

摘　　要：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.

关 键 词：参数不确定性 井筒压力 实时校正 集合卡尔曼滤波 

分 类 号：TE21[石油与天然气工程—油气井工程]