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连续管作业综合管理系统开发与应用 被引量:5

Development and Application of Total Management System for Coiled Tubing Operation
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摘要 针对连续管应用过程中存在诸多不足的情况, 开展了连续管装备信息化管理相关技术研究,研制了连续管作业综合管理系统。该系统基于连续管作业数据诊断技术和连续管寿命综合评估技术,实现了连续管装备及作业多层级、多角色的信息化管理。完成了该系统在长庆井下作业技术公司3台作业机上的部署及应用。现场应用结果表明,连续管作业综合管理系统稳定运行超过300 d,提高了连续管作业装备使用效率,降低了装备现场应用的风险;系统远程实时监控功能模块能够实时、准确接收现场作业数据,并以数值、仪表和曲线等形式显示接收的数据;支持历史作业数据、工作进尺与工作总时长的存储及查询;支持科学定制设备检修与维护任务;实现了连续管局部缺陷、壁厚变化及疲劳使用状况的信息化管理。研究结果可为连续管使用寿命评估系统开发提供数据支撑。 In order to solve the problems existing in the application of coiled tubing(CT), the information management technology of CT equipment was studied, the total management system for CT operation was developed, and the system was deployed and applied on 3 CT units of the Changqing Downhole Service Company. Field application shows that the total management system runs stably for more than 300 days, which improves the service efficiency of the CT operation equipment;the remote real-time monitoring function module of the system can accurately receive the field operation data in real time, and display them in the form of numerical value, instrument and curve;the system supports the storage and query of historical operation data, service footage and total working time, supports scientifically customized equipment overhaul and maintenance tasks, and has realized information management of local defect, wall thickness change and fatigue conditions of the coiled tubing. The research conclusions provide data support for the development of CT service life evaluation system.
作者 于志军 贾海平 张清龙 刘丹 王文军 蒲晓莉 黄立华 Yu Zhijun;Jia Haiping;Zhang Qinglong;Liu Dan;Wang Wenjun;Pu Xiaoli;Huang Lihua(Jianghan Machinery Research Institute Limited Company of CNPC;Changqing Downhole Service Company,CNPC Chuanqing Drilling Engineering Company Limited)
出处 《石油机械》 北大核心 2021年第4期96-102,共7页 China Petroleum Machinery
基金 中国石油天然气集团有限公司科学研究与技术开发项目“采油、井下作业和储层改造技术研发与应用”(2019B-4110) 中国石油集团工程技术研究院有限公司项目“连续管自动监测与作业关键技术研发与应用”(2019B-4116)。
关键词 连续管 综合管理系统 数据监测 疲劳寿命 监测预警 故障诊断 在线检测 CT total management system data monitoring fatigue life monitoring and early warning fault diagnosis online detection
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