Dynamic loading of pipelines during integrity management
Dynamic loading of pipelines during integrity management
批准号:
514336-2017
负责人:
Li, Leping
金额:
$8.73万
依托单位:
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
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
该项目的目的是为了提高管道的安全性。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、技术和最佳实践,以尽可能提高管道的完整性。无论能源是来自不可再生能源(化石燃料)还是可再生能源(生物燃料),确保能源产品通过管道安全可靠地运输至关重要。这项研究将由一个多学科团队与一家全球领先的天然气和液态碳氢化合物管道运输公司合作进行。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。作为完整性管理程序的一部分,该项目将评估在线检测工具通过管道时的应力状态。这是一个未开发的领域,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变得更加脆弱。通过数值模拟和亚尺度实验的结合,将开发一个人工智能模型来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、焊缝、腐蚀和裂纹扩展。该模型将产生一个软件工具,供管道工程师在实际情况下使用,以改进鲁棒性完整性管理程序。这项研究将解决未知问题,并将创造关于管道完整性程序的新知识,但研究方法也将适用于周围环境的影响,例如管道开挖过程中的露天坑管道、水交叉和muskeg。
英文摘要
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.
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