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A PDE MODEL FOR ESTIMATING THE LIFE TIME OF A RISER

机译:一种估算提升机寿命时间的PDE模型

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Subsea intervention operations may expose wellheads to very high structural loads. Traditionally, structural fatigue was not regarded as a challenge for wellheads, and design codes did not include verification with respect to structural loads. However, development in mathematical modeling and numerical techniques as well as monitoring systems have revealed that semi-submersible rigs with marine riser systems and BOP (Blowout Preventer) can cause quite significant loads on permanently installed equipment. Being able to describe a risers movement under the action of external forces is important in order to calculate the effects on the wellhead. This may be used to predict the expected remaining lifetime of the system. In this article, the existing literature on numerical modeling of a riser system is discussed. Different mathematical models of a riser system were approximated numerically by a finite element method. The models are compared and their correctness is discussed. The error bounds for the finite element solutions are derived. Boundary conditions are further developed to improve realism and ensure compliance with existing standards and guidelines. The sensitivity of such changes are assessed and discussed. A discussion cm how to use the numerical simulated data to train a machine learning algorithm to estimate well loading is presented and key parameters affecting the cyclic wellhead loads are identified.
机译:海底介入操作可能将井口暴露于非常高的结构载荷。传统上,结构疲劳不被视为对井口的挑战,并且设计代码不包括关于结构载荷的验证。然而,数学建模和数值技术的开发以及监测系统透露,具有海上立管系统和BOP(井喷预防炉)的半潜式钻机会对永久安装的设备产生相当大的负载。能够描述在外力的作用下的提升管运动是重要的,以便计算对井口的影响。这可以用于预测系统的预期剩余寿命。在本文中,讨论了提升系统的数值建模的现有文献。通过有限元方法数值近似提升机系统的不同数学模型。比较模型,讨论其正确性。导出有限元解决方案的错误界限。进一步发展边界条件以改善现实主义,并确保遵守现有标准和指南。评估和讨论此类变化的敏感性。讨论CM如何使用数值模拟数据来训练机器学习算法来估计井加载,并且识别影响循环井口负载的关键参数。

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