非线性Volterra模型预测最小方差法控制钻压系统  

Nonlinear Volterra Model Prediction Minimum Variance Method to Control WOB System

作　　者：石俊龙 刘志臻 SHI Junlong;LIU Zhizhen(Sinopec Offshore Oil Engineering Co.,Ltd.Shanghai Drilling Branch,Shanghai 201208,China;Tianshui Tianchuan Electrical Engineering Co.,Ltd.,Tianshui 741020,Gansu,China)

机构地区：[1]中石化海洋石油工程有限公司上海钻井分公司,上海201208 [2]天水天传电气工程有限责任公司,甘肃天水741020

出　　处：《电气传动自动化》2022年第3期9-12,共4页Electric Drive Automation

摘　　要：本文提出了一种非线性预测最小方差(NPGMV)控制方案,用于油管压力钻井(MPD)系统的扰动自动控制。由于系统的精确模型通常在实际中无法得到,因此将MPD的水力流动模型采用自回归二阶Volterra模型来描述。传统的最小二乘法应用于产出数据,从而识别Volterra模型,通过控制方案实现了井底压力调节。为处理一次油藏涌出,提出了自动切换流量控制方式,防止油藏流体涌入井面。为验证所提方法的有效性,对几种具有切换PI控制器的场景进行了对比研究,结果表明NPGMV控制在稳态性能方面优于其他方法。This paper proposes a nonlinear predictive minimum variance(NPGMV)control scheme for automatic control of disturbances in a tubing pressure drilling(MPD)system.Since the exact model of the system is usually not available in practice,the hydraulic flow model of MPD is described by the autoregressive second-order Volterra model.The Volterra model was identified by applying traditional least squares to the output data.Bottom hole pressure regulation is achieved through the control scheme.In order to deal with a reservoir gushing,the proposed method automatically switches the flow control mode to prevent the reservoir fluid from flooding into the well surface.To verify the effectiveness of the proposed method,a comparative study is conducted on several scenarios with switched PI controllers,and the results show that NPGMV control outperforms other methods in steady-state performance.

关 键 词：MPD 最小方差控制 Volterra模型 非线性预测 

分 类 号：TE93[石油与天然气工程—石油机械设备]