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Cloud-based advanced analytics for pipeline inspection data management

Cloud-based advanced analytics for pipeline inspection data management
基于云的管道检测数据管理高级分析
批准号:
501377-2016
负责人:
Liu, Zheng
金额:
$1.78万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

项目摘要

项目成果

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中文摘要
翻译
油气管道管理需要能够将大量的检测数据转化为明智的决策。通常,管道在线检测(ILI)是由不同的服务提供商进行的,数据会随着时间的推移而积累。然而,存储的数据尚未得到充分的探索,以深入了解异常增长。主要的障碍是收集的数据没有正确匹配或对齐以反映管道退化过程。挑战还来自于缺失的日期、不同的分辨率以及与检测数据相关的不确定性。
英文摘要
Oil and gas pipeline management requires the capability to convert volumes of inspection data into informed decisions. Usually, pipe inline inspection (ILI) is conducted by different service providers and data are accumulated over time. However, stored data have not been fully explored to give an insight into the anomaly growth. The major obstacle is that the collected data are not properly matched or aligned to reflect the pipe degradation process. Challenges also come from missing date, different resolutions, and uncertainties associated with the inspection data.
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