Prediction of sand particle trajectories and erosion distribution in offshore oil and gas pipelines

IF 2.8 3区工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computational Particle Mechanics Pub Date : 2024-02-19 DOI:10.1007/s40571-024-00718-x

Heqi Yang, Xiaoping Li, Quanyou Jin, Dengwei Jing, Lijing Ma

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引用次数: 0

Abstract

Sand erosion in pipelines during offshore oil and gas exploitation and transportation can lead to serious equipment failures, considerable economic losses, and environmental burdens. Accurate prediction of sand erosion in these pipelines, especially near elbow sections, is crucial to reduce pipeline failure. In this study, the CFD-DPM method verified by experiment data is used for numerical simulation. The effects of particle size, shape, and fluid viscosity on elbow erosion have been discussed. The results show that the maximum erosion rate decreases exponentially with the increase in fluid viscosity. It shows a decrease first and then increases with the increase in particle diameter, and an opposite trend with the increase in particle shape factor. More importantly, the correlation between the maximum erosion position of the elbow and the Stokes number has been derived. Our work is expected to provide theoretical guide for anti-erosion design strategy for submarine pipelines.

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预测海上油气管道中的沙粒轨迹和侵蚀分布

在近海油气开采和运输过程中，管道中的沙蚀会导致严重的设备故障、巨大的经济损失和环境负担。准确预测这些管道（尤其是靠近弯头部分）中的砂侵蚀对减少管道故障至关重要。本研究采用经实验数据验证的 CFD-DPM 方法进行数值模拟。讨论了颗粒大小、形状和流体粘度对弯头侵蚀的影响。结果表明，随着流体粘度的增加，最大侵蚀率呈指数下降。随着颗粒直径的增大，最大侵蚀率呈现先减小后增大的趋势，而随着颗粒形状系数的增大，最大侵蚀率呈现相反的趋势。更重要的是，我们还得出了弯头最大侵蚀位置与斯托克斯数之间的相关性。我们的工作有望为海底管道的防侵蚀设计策略提供理论指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computational Particle Mechanics Mathematics-Computational Mathematics

CiteScore

5.70

自引率

9.10%

发文量

期刊介绍： GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate ﬂows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.