摘要
智能井的数据采集系统可以获得数量庞大且复杂的压力、温度、流量等数据,于是数据的有效处理就显得尤为重要。基于以上状况,文章在前人研究的基础上提出了将卡尔曼滤波用于智能井压力数据,分别介绍了卡尔曼滤波的基本思想、算法原理和在智能井数据上的应用,并用实时生产压差数据进行了验证。结果证明,该方法是一种简单有效的数据处理方法,而且适用于智能井数据采集系统所得数据。
The data acquisition system of the intelligent well can obtain the large and complex data, such as pressure, temperature, flow rate and so on. So it is very important to process data effectively. Based on the previous study, the article was presented the application of kalman filter in the pressure data of intelligent well. At the same time, this paper introduced the basic theory and algorithm of kalman filtering and application in the intelligent well data, and it was verified with drawdown pressure data in real-time. Results show that the method is a simple and effective method in data processing, and it is suitable for the intelligent well data from data acquisition system.
出处
《石油化工应用》
CAS
2015年第12期29-31,共3页
Petrochemical Industry Application
关键词
数据处理
卡尔曼滤波
压力
data processing
kalman filter
pressure