Dynamic loading of pipelines during integrity management

完整性管理期间管道的动态加载

• 批准号: 514336-2017
• 负责人: Li, Leping
• 金额: $ 8.73万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693051
• 关键词: Dynamic; loading; pipelines; during; integrity

The purpose of the project is to improve pipeline safety. While leak detection and spill remediation areimportant, it is more desirable to prevent incidents in the first place. The project will develop knowledge,technologies and best practices that promote pipeline integrity at the highest level possible. Ensuring the safeand reliable transportation of energy products by pipelines is crucial, irrespective of whether this energy isderived from non-renewable (fossil fuels) or from renewable (biofuels) sources. The research will be carried out by a multidisciplinary team in collaboration with a global leader in the pipeline transportation of gas and liquid hydrocarbons. Four researchers are tenured faculty members at the University of Calgary and one is from CanmetMATERIALS at Natural Resources Canada. PhD and MSc students will be an essential part of the team.The project will assess the stress regime when an In-Line Inspection tool passes through a pipe as part of anintegrity management procedure. This is an unexplored area that will result in a new understanding of thecombined effects of stress, fatigue and material loss. In some cases, these effects can be compounded in a pipethat is potentially vulnerable due to weld or corrosion defects. Using a combination of numerical modeling and subscale experiments, an artificial intelligence model will be developed to predict maximum stress and crack propagation rate for a variety of input conditions, including temperature change, welds, corrosion, and crack propagation. The model will result in a software tool for use by pipeline engineers in real-world situations to improve the robustness integrity management programs.This study will address unknowns and will create new knowledge about a frequent pipeline integrity procedure, but the research approach will also allow applicability to the effects of surrounding environment such as open pit pipe during pipe excavation procedures, water crossings and muskeg.

该项目的目的是提高管道安全性。虽然泄漏检测和泄漏补救很重要，但更可取的是首先防止事故发生。该项目将开发知识、技术和最佳做法，以尽可能高的水平促进管道完整性。确保通过管道安全可靠地运输能源产品至关重要，无论这种能源是来自不可再生（化石燃料）还是来自可再生（生物燃料）来源。 该研究将由一个多学科团队与天然气和液态烃管道运输领域的全球领导者合作进行。四名研究人员是卡尔加里大学的终身教职员工，一名来自加拿大自然资源部的CanmetMATERIALS。博士生和硕士生将是团队的重要组成部分。该项目将评估在线检测工具通过管道时的应力状况，作为完整性管理程序的一部分。这是一个未探索的领域，将导致对应力，疲劳和材料损失的综合影响的新理解。在某些情况下，由于焊接或腐蚀缺陷，这些影响可能会在管道中加剧。使用数值建模和缩尺实验的组合，将开发人工智能模型，以预测各种输入条件下的最大应力和裂纹扩展速率，包括温度变化、焊接、腐蚀和裂纹扩展。该模型将导致一个软件工具，用于管道工程师在现实世界的情况下，以提高鲁棒性完整性管理programmes.This研究将解决未知数，并将创建一个频繁的管道完整性程序的新知识，但研究方法也将允许适用于周围环境的影响，如管道开挖过程中的露天管道，水交叉和沼泽。