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Remote Monitoring and Modeling of Coiled Tubing Operations in Real Time

机译:实时线圈卷管操作的远程监控和建模

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Service company and operator personnel increasingly wish to monitor coiled tubing (CT) operations from a remote location. Very often the interested party will connect to the data logging computer in the field via an internet connection using freely available commercial software, which allows them to view the computer screen as it appears to the personnel on location. However, streaming video in this manner requires a fast and reliable connection. It also leaves the viewer in a predominantly passive role, with the burden of running the software remaining with the personnel in the CT unit, who must therefore be trained to handle that task along with their other duties. A different approach, first introduced to the CT industry in 2015, involves streaming the acquired job data to a remote web server in small packets, and reconstructing the complete data file on arrival. The data can then be viewed in near real-time by any authorized person with an internet connection and a browser. The method requires little bandwidth, and works even with an intermittent connection. In a further innovation, the live data is simultaneously fed into tubing forces analysis (TFA) and fatigue modeling software running on the same web server, with the resulting real-time pipe status displayed in the browser alongside the data charts. Adjustments to the models and job design can be made by a person observing the job remotely, rather than on location, with potential for significant cost savings. At the same time, an algorithm monitors the incoming data stream for detectable events, and triggers automated notifications to personnel who are ‘following’ the job. In this manner an operator can be alerted when, for example, the CT approaches a target of interest; a technician can be warned that a sensor is failing; and an engineer can be alerted if the pipe limits are in danger of being exceeded. This web-based system has been used extensively over a period of several years, with up to 50 jobs streaming on a typical day. Field examples will be presented illustrating this technology, and contrasted with conventional methods. Limitations as well as advantages will be discussed, in particular concerns about web connectivity at the wellsite, and possible solutions presented. The case will be made that, by moving the majority of the job monitoring process offsite, the need for specialist expertise in the field is reduced, with associated cost savings. Furthermore, by integrating the entire job process, from planning to completion, into a single web-based platform accessible to any involved party regardless of geographic location, numerous possibilities for other efficiencies can be imagined and realized.
机译:服务公司和运营商人员越来越希望从远程位置监控盘绕管道(CT)操作。兴趣的政党经常使用自由可用的商业软件通过Internet连接连接到现场中的数据记录计算机,这允许它们在位置看起来将计算机屏幕视为位置。然而,以这种方式流视频需要快速可靠的连接。它还使观众成为一个主要被动的角色,因此在CT单元中运行剩余的软件的负担,因此必须接受培训的人员来处理该任务以及其他职责。在2015年首次引入CT行业的不同方法涉及将所获取的作业数据流传输到小数据包中的远程Web服务器,并在到达时重建完整的数据文件。然后,任何具有Internet连接和浏览器的任何授权人员都可以在近实时查看数据。该方法需要很少的带宽,即使使用间歇连接也有效。在进一步的创新中,实时数据同时进入在同一Web服务器上运行的管制力分析(TFA)和疲劳建模软件,其中包含在浏览器中显示的实时管道状态与数据图表一起。对模型和工作设计的调整可以通过远程观察工作,而不是在位置,而不是潜在的成本节约。同时,算法监视可检测事件的传入数据流,并将自动通知触发到“跟随”作业的人员。以这种方式,当例如CT接近感兴趣的目标时,可以警告操作员;可以警告一个技术人员传感器失败;如果管道限制处于超出危险,则可以提醒工程师。该基于Web的系统在几年的时间内广泛使用,在典型的一天中最多可以播放50个职位。将呈现现场示例,其说明该技术,并与常规方法形成对比。将讨论局限性以及优点,特别是关于井网的网络连接以及提供的解决方案。将提出这种情况,通过移动大多数作业监测过程的现场,将减少对该领域专业专业知识的需求,具有相关成本节约。此外,通过将整个工作流程集成到计划完成,无论地理位置如何,都可以在任何涉及的一方访问的基于网络的平台中,可以想象和实现其他效率的许多可能性。

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