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Application of DOE Methodologies to the FEA of a Payload Suspended on Drill Pipe from a Semi-Submersible Drill Rig

机译:DOE方法论在半潜式钻机的钻杆有效载荷有限元分析中的应用

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In the development of a subsea well, one key phase is the lowering of the Xmas tree (XT) from a semi-submersible drill rig to the wellhead on the seafloor. A typical operation involves multiple steps and finite element analysis (FEA) is widely used to model and analyze the operation. The results would help to determine acceptable weather windows. Current practice is to build a system model in the FEA software of choice, and run load cases consisting of variables such as wave height, wave period, current velocity, pipe contents and rig heading. The purpose of this paper is demonstrate how the application of Design of Experiments (DOE) methodologies can streamline the FEA process while giving deeper insight into system behavior, and providing a logical basis for the daunting task of QA checking a large FEA. As an added benefit, the DOE methodology, through response surface modeling, allows the creation of a predictive numerical equation using a multiple regression model. The regression model can be used to calculate realtime operating windows, as well as provide a quick way to handle last-minute equipment swaps without the need to repeat huge amounts of FEA.
机译:在开发水下井时,一个关键阶段是将采油树(XT)从半潜式钻机降到海底井口。典型的操作涉及多个步骤,有限元分析(FEA)被广泛用于对操作进行建模和分析。结果将有助于确定可接受的天气窗口。当前的做法是在所选的FEA软件中建立系统模型,并运行由变量组成的载荷工况,这些变量包括波浪高度,波浪周期,当前速度,管道内容和钻机前进方向。本文的目的是演示实验设计(DOE)方法论的应用如何在简化FEA流程的同时,更深入地了解系统行为,并为QA检查大型FEA的艰巨任务提供逻辑基础。作为一项额外的好处,DOE方法论通过响应面建模,允许使用多元回归模型创建预测性数值方程。回归模型可用于计算实时操作窗口,并提供快速处理最新设备更换的方法,而无需重复大量的FEA。

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