Heqi Yang, Xiaoping Li, Quanyou Jin, Dengwei Jing, Lijing Ma
{"title":"Prediction of sand particle trajectories and erosion distribution in offshore oil and gas pipelines","authors":"Heqi Yang, Xiaoping Li, Quanyou Jin, Dengwei Jing, Lijing Ma","doi":"10.1007/s40571-024-00718-x","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"11 5","pages":"1923 - 1936"},"PeriodicalIF":2.8000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40571-024-00718-x","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.