Analysis and structure optimization of jetting pigging robot for black powder removal process in subsea nature gas pipeline

海底 清管 管道(软件) 过程(计算) 石油工程 工艺工程 计算机科学 海洋工程 环境科学 材料科学 工程类 机械工程 操作系统
作者
Qiang Ma,Tianpeng Mo,Zhenyuan Yang,Shangjunnan Liu,Shuhai Liu
标识
DOI:10.1177/14750902241292523
摘要

Over extended periods of operation, natural gas pipelines tend to accumulate significant amounts of black powder impurities along their inner walls. Many of these impurities exhibit corrosive properties, leading to pipeline degradation and posing a serious threat to the safety and reliability of energy transportation. The jet pigging robot also called as jet pig, a type of pigging robots, has been developed to address pipeline impurities. The conventional approach involves using a pigging robot to perform cleaning operations inside the pipeline. However, the speed of traditional pigging robots is difficult to control, often leading to safety risks such as blockages and reduced cleaning efficiency, as well as increased operational costs. In contrast, the jet pigging robot, equipped with a jet nozzle, emits a high-speed jet stream that effectively dislodges black powder particles, mitigating issues related to safety, efficiency, and cost. Therefore, optimizing the design of the jet pigging robot for black powder removal is of great significance. This study proposes a novel pigging robot jet structure and optimizes its dimensions using finite element simulation. The effects of key geometric parameters on flow velocity and turbulent kinetic energy are investigated. Simulation results indicate that a jet structure with a sealing disk hole inclination angle of 40° and a baffle spacing of 18 mm demonstrates effective wall-cleaning performance. At a bypass ratio of 9%, the structure exhibits high cleaning efficiency, while at a bypass ratio of 12%, it enhances operational safety and reduces the risk of blockages.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.1应助xianglily采纳,获得30
1秒前
CiCi完成签到,获得积分10
1秒前
若知发布了新的文献求助10
1秒前
善学以致用应助qqyy采纳,获得10
1秒前
默默发布了新的文献求助10
1秒前
2秒前
Howes91完成签到,获得积分10
2秒前
在水一方应助11采纳,获得10
3秒前
朱冰蓝完成签到,获得积分10
3秒前
ynwa完成签到 ,获得积分10
3秒前
ewww发布了新的文献求助10
3秒前
4秒前
cssfsa发布了新的文献求助30
4秒前
所所应助玛卡巴卡采纳,获得10
4秒前
檀九完成签到,获得积分10
4秒前
zzz发布了新的文献求助10
4秒前
cd发布了新的文献求助20
4秒前
夜神月发布了新的文献求助10
4秒前
4秒前
隐形曼青应助苯酚装醇采纳,获得10
5秒前
6秒前
6秒前
6秒前
似水无痕完成签到,获得积分10
7秒前
7秒前
英俊的铭应助丁丁采纳,获得10
7秒前
7秒前
8秒前
科研通AI6.2应助明理如凡采纳,获得10
8秒前
紫苏发布了新的文献求助10
8秒前
2506601498发布了新的文献求助10
8秒前
尔信完成签到 ,获得积分10
8秒前
SY完成签到,获得积分10
8秒前
复杂的傲松完成签到,获得积分10
8秒前
科目三应助谦让晓晓采纳,获得10
9秒前
9秒前
行行行发布了新的文献求助10
9秒前
chestnut完成签到,获得积分10
9秒前
9秒前
安筠发布了新的文献求助20
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6017534
求助须知:如何正确求助?哪些是违规求助? 7602864
关于积分的说明 16156355
捐赠科研通 5165375
什么是DOI,文献DOI怎么找? 2764873
邀请新用户注册赠送积分活动 1746211
关于科研通互助平台的介绍 1635206