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: $ 8.45万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696226
• 关键词: Dynamic; loading; pipelines; during; integrity

The purpose of the project is to improve pipeline safety. While leak detection and spill remediation are important, 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 safe and reliable transportation of energy products by pipelines is crucial, irrespective of whether this energy is derived 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 an integrity management procedure. This is an unexplored area that will result in a new understanding of the combined effects of stress, fatigue and material loss. In some cases, these effects can be compounded in a pipe that 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是 重要的是，更可取的做法是首先预防事故发生。该项目将发展知识， 技术和最佳实践，以促进最高水平的管道完整性。确保安全 通过管道可靠地运输能源产品至关重要，无论这种能源是否 来源于不可再生（化石燃料）或可再生（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。博士和硕士学生将是团队的重要组成部分。 该项目将评估当在线检测工具通过管道时的应力状况， 完整性管理程序。这是一个未探索的领域，将导致对 应力、疲劳和材料损耗的综合影响。在某些情况下，这些影响可以在管道中复合 其由于焊接或腐蚀缺陷而潜在地易损坏。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。该模型将产生一个软件工具，供管道工程师在现实世界中使用，以提高鲁棒性完整性管理程序。 这项研究将解决未知问题，并将创造新的知识，一个频繁的管道完整性程序，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。