Utilising Advanced Digital Technologies to Provide Automated Drilling Riser Fatigue Tracking to Support Condition Based Maintenance

Paul Bohan, D. Lang, Dara Williams
{"title":"Utilising Advanced Digital Technologies to Provide Automated Drilling Riser Fatigue Tracking to Support Condition Based Maintenance","authors":"Paul Bohan, D. Lang, Dara Williams","doi":"10.1115/omae2020-19198","DOIUrl":null,"url":null,"abstract":"\n The traditional industry approach to drilling riser joint inspection and maintenance has centered on recertification of riser joints at fixed five-yearly intervals. There are significant potential efficiencies to be gained from moving to a condition-based maintenance regime where inspection intervals are determined based on the actual usage of the riser joint. One of the critical factors driving the requirement for inspection is the fatigue damage sustained by the riser joint during use.\n This paper describes a unique drilling riser joint fatigue tracking system that uses the latest digital technologies, advanced automation processes and a state-of-the-art finite element model of the drilling riser to provide an accurate and efficient solution to the challenge of long-term riser joint fatigue tracking. The architecture and operation of the system is described in detail and the application of a fracture mechanics-based approach to fatigue calculation versus the traditional S-N curve-based approach is discussed.","PeriodicalId":23502,"journal":{"name":"Volume 1: Offshore Technology","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Offshore Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/omae2020-19198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The traditional industry approach to drilling riser joint inspection and maintenance has centered on recertification of riser joints at fixed five-yearly intervals. There are significant potential efficiencies to be gained from moving to a condition-based maintenance regime where inspection intervals are determined based on the actual usage of the riser joint. One of the critical factors driving the requirement for inspection is the fatigue damage sustained by the riser joint during use. This paper describes a unique drilling riser joint fatigue tracking system that uses the latest digital technologies, advanced automation processes and a state-of-the-art finite element model of the drilling riser to provide an accurate and efficient solution to the challenge of long-term riser joint fatigue tracking. The architecture and operation of the system is described in detail and the application of a fracture mechanics-based approach to fatigue calculation versus the traditional S-N curve-based approach is discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用先进的数字技术,提供自动钻井隔水管疲劳跟踪,以支持基于状态的维护
传统的钻井隔水管接头检查和维护方法集中在隔水管接头的重新认证上,每隔五年进行一次。采用基于状态的维护机制,根据立管接头的实际使用情况确定检查间隔,可以获得显著的潜在效率。驱动检测需求的关键因素之一是立管接头在使用过程中遭受的疲劳损伤。本文介绍了一种独特的钻井隔水管接头疲劳跟踪系统,该系统采用最新的数字技术、先进的自动化工艺和最先进的钻井隔水管有限元模型,为长期监测隔水管接头疲劳提供了准确、高效的解决方案。详细描述了该系统的结构和操作,并讨论了基于断裂力学的方法与传统的S-N曲线方法在疲劳计算中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Importance of the Inertial Components in Modal State Covariances Prelude FLNG Free Weathervaning Heading Prediction and Uncertainties, Based on Machine Learning Model Applying Open Web Architectures Towards Collaborative Maritime Design and Simulation Joint-Industry Effort to Develop and Verify CFD Modeling Practice for Predicting Wave Impact Dynamic Response of a Generic Self-Elevating Unit in Operation With Hull in Water
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1