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论文摘要

井下智能节流及智能节流器系统开发

Study and Design of an Intelligent Downhole Throttle System

作者:何明格(中国石油西南油气田公司 采气工程研究院;四川大学 制造科学与工程学院);林丽君(四川大学 制造科学与工程学院);殷国富(四川大学 制造科学与工程学院);马发明(中国石油西南油气田公司 采气工程研究院);陈骥(中国石油西南油气田公司 采气工程研究院)

Author:He Mingge(Gas Production Eng. Research Inst.,Southwest Oil & Gas Field Co.,PetroChina;School of Manufacturing Sci. and Eng.,Sichuan Univ.);Lin Lijun(School of Manufacturing Sci. and Eng.,Sichuan Univ.);Yin Guofu(School of Manufacturing Sci. and Eng.,Sichuan Univ.);Ma Faming(Gas Production Eng. Research Inst.,Southwest Oil & Gas Field Co.);Chen Ji(Gas Production Eng. Research Inst.,Southwest Oil & Gas Field Co.)

收稿日期:2013-01-25          年卷(期)页码:2013,45(3):151-157

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:天然气井;井下节流;节流器;智能控制

Key words:gas well;downhole throttling;throttle system;intelligent control

基金项目:中石油重大专项资助项目(2011E-2402)

中文摘要

井下智能工具是支撑智能完井和数字化天然气田发展的一种关键基础设备装置。针对天然气井井下智能节流工艺技术需要,构建了适用于远程控制的井下智能节流体系结构及节流器系统,阐述了井下智能节流控制的算法原理;详细论述了基于CAN总线技术的电机控制系统设计、基于CAD/CAE的机械系统结构设计、数字化井下温度压力采集与处理以及模块化分层软件设计等智能节流器系统设计的关键技术;最后对整个系统进行了试验运行和分析。结果表明,所研发的智能式井下节流器系统具有实时监测节流参数和远程控制节流的特点,能为井下智能节流工艺技术的实施提供设备支撑,对相关智能化井下工具的研发具有参考意义。

英文摘要

In order to improve the traditional throttling technology and promote intelligent downhole throttling technology, many advanced technologies were adopted to build up an intelligent downhole choke system which can realize remote control and monitoring, and a control algorithm for this system was designed. Various key techniques of the chock system were elaborated, such as electric control system design based on CAN bus technology, mechanical structure design based on CAD/CAE, downhole temperature and pressure data collection and processing based on digital information technology and software design based on modular layering method. The control software and operation process of the practical system were tested and analyzed. The result demonstrated that the intelligent downhole throttle system has two main advantages of real-time monitoring and real-time remote control and throttling, which can provide equipment supports for intelligent throttling technology. These methods have some reference for other researches in developments of intelligent downhole tools.

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