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Toward Drilling Automation: On the Necessity of Using Sensors That Relate to Physical Models

机译:钻探自动化:关于使用与物理模型相关的传感器的必要性

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Current top-side and downhole instrumentation at the well site has been developed for the purpose of manually conducted drilling operations. The emergence of automatic drilling analysis software shows the limitations of today抯 measurements capabilities. It is therefore time to analyze the requirements for onsite instrumentation in order to implement new, efficient drilling automation technologies. On one hand, drilling is facing more and more difficult conditions with narrow geo-pressure windows, deep water or high- pressure and high-temperature (HPHT) conditions. On the other hand, unconventional hydrocarbon reserves may require a considerable amount of wells to be profitable. Drilling automation, by means of smart safeguards, automatic safety triggers, managed pressure drilling (MPD) and ultimately complete or semi-autonomous drilling rigs can provide the solution to safely construct wells in these challenging settings. The common denominator for the vast majority of drilling automation solutions is the use of physical models of the drilling process in the form of heat transfer, mechanical and hydraulic models. By analyzing the requirements of those models for necessary boundary conditions, it is possible to derive which measurements should be made both at surface and downhole in order to obtain stable and accurate calculations. This analysis also provides a way to estimate the necessary accuracy of the boundary conditions to ensure reaching the target control tolerance. Using the boundary condition analysis, it is possible to derive precisely which measurements should be done and where they should be performed. As a result, a typical organization of sensors that is compatible with the implementation of drilling automation solutions is derived.
机译:由于手动进行了钻井操作,已经开发了当前在井场的顶部和井下仪器。自动钻探分析软件的出现显示了今天抯测量功能的局限性。因此,需要分析现场仪器的要求,以实现新的高效钻探自动化技术。一方面,钻孔面临越来越困难的条件,狭窄的地质压力窗口,深水或高压和高温(HPHT)条件。另一方面,非传统的碳氢化合物储量可能需要相当大量的井有利可图。钻探自动化,通过智能保障,自动安全触发器,托管压力钻孔(MPD)和最终完整或半自治钻机可以在这些具有挑战性的环境中安全地构建井的解决方案。绝大多数钻井自动化解决方案的共同分母是在传热,机械和液压模型的形式使用钻井过程的物理模型。通过分析所需边界条件的那些模型的要求,可以得出在表面和井下进行哪些测量,以获得稳定和准确的计算。该分析还提供了一种方法来估计边界条件的必要准确性,以确保达到目标控制公差。使用边界条件分析,可以精确地推导出该测量应该进行,并且应该在哪里进行。结果,推导出与钻井自动化解决方案的实现兼容的传感器的典型传感器组织。

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