通过地面自动化,阿布扎比陆上钻井性能发生了阶段性变化

Imad Al Hamlawi, A. Creegan, Nahum Ronquillo, L. Baptista, Mohamed Jalbout, Mouza Al Nuaimi, K. Azizuddin
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引用次数: 1

摘要

由于许多变量的不可预测性,钻井油气井的过程本身就具有挑战性。然而,整个过程可以分解成许多较小的阶段,每个阶段都具有可重复性。通过自动化可重复的过程,并通过优化可变条件的输入,我们可以在更高的水平上实现钻井过程的工业化,并朝着一致、高性能的方向发展。提高作业效率需要长期的培训或特殊的工具来帮助解决井下问题。这可能是昂贵的,需要许多工时。在本文回顾的试验中,实施了地面自动化解决方案,以提高油井的施工性能。地面自动化解决方案由钻井自动化平台(DAP)、实时智能钻井优化器(IDO)、自动粘滑缓解系统和自动化生命周期管理(ALM)支持服务组成。地面自动化解决方案表现出了非凡的性能,提供了高效的钻井连接,最佳的钻井性能,并减轻了钻井功能障碍。在系统运行的每个井段都创造了新的记录,与偏移相比,总ROP提高了51%,粘滑严重程度降低了44%,节省了3.2个钻机日。在本文中,我们将研究地面自动化解决方案如何通过自动化钻井活动、减轻钻井功能障碍和优化参数来提高每段的ROP,从而节省油井交付时间。结果是通过性能来衡量的,在这种情况下是节省时间。所显示的数据是整体宏观关键性能指标(KPI)以及每个井段的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Step Change in Drilling Performance Through Surface Automation in Onshore Abu Dhabi
The process of drilling an oil or gas well is inherently challenging due to the unpredictable nature of many of the variables at play. However, the overall process can be broken down into many smaller phases, each of which has a signature of repeatability. By automating the repeatable processes, and by optimizing the inputs that are a function of variable conditions, we can industrialize the drilling process at a higher level and drive toward consistent, high performance. Improving operational inefficiency requires long-term training or special tools to help address downhole issues. This can be costly and requires many man hours. In the pilot reviewed in this paper, a Surface Automation Solution was implemented to improve well construction performance. The Surface Automation Solution was comprised of a Drilling Automation Platform (DAP), a real-time Intelligent Drilling Optimizer (IDO), an automated stick slip mitigation system, and Automation Lifecycle Management (ALM) supporting services. The Surface Automation Solution showed extraordinary performance, delivering efficient drilling connections, optimum drilling performance and mitigating drilling dysfunction. New records were achieved in every hole section where the system was operated, resulting in 51% overall ROP improvement compared to offsets, and 44% reduction in stick slip severity, translating to 3.2 rig days savings. In this paper, we will examine how the Surface Automation Solution saves well delivery time by automating drilling activities, mitigating drilling dysfunctions and optimizing parameters to increase ROP on each section. The outcome is measured by the performance, which in this case is time saved. The data shown is the overall macro key performance indicator (KPI) along with the performance at each individual hole section.
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