Incorporating Inline Inspection Internal Measurement Unit Data Analysis Into Integrity Management Programs

Douglas Dewar
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Abstract

Inline Inspection Internal Measurement Unit (ILI IMU) data analysis is a well understood but often under-utilized technology for detecting, defining, assessing and monitoring soil to pipeline interactions. The technology has been successfully used to detect landslide interactions since 1996 [1]. Operators can be provided with a vendor analysis (initial bending strain or run to run movements) and/or processed raw data for either internal or third-party raw data Analysis [2]. Vendor Analysis typically identifies major soil/pipeline interactions but primarily reports dig related settlements [3] and static construction related features. Raw data analysis is typically used to define interactions and provide detailed pipe shapes and deformations within targeted pipeline segments. An approach for determining ILI IMU analysis/data requirements for individual ILI run segments for any size of pipeline system is presented. Guidelines for analysis are provided for Operators to optimize efforts based on the hazards encountered in individual pipelines or pipeline systems. The process includes feature screening, integrity/geotechnical specialist review and risk control/mitigation measures, if required. To facilitate the feature screening process, a classification system for ILI IMU features is presented based on their type, activity and source modified from the system presented in [3].
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将内联检验内部测量单元数据分析纳入完整性管理程序
在线检测内部测量单元(ILI IMU)数据分析是一种很好理解但经常未充分利用的技术,用于检测、定义、评估和监测土壤与管道的相互作用。自1996年以来,该技术已成功用于检测滑坡相互作用[1]。作业者可以提供供应商分析(初始弯曲应变或井间移动)和/或经过处理的原始数据,用于内部或第三方原始数据分析[2]。供应商分析通常识别主要的土壤/管道相互作用,但主要报告与挖掘相关的沉降[3]和与静态施工相关的特征。原始数据分析通常用于定义相互作用,并在目标管段内提供详细的管道形状和变形。提出了一种确定任何规模的管道系统的各个ILI运行段的ILI IMU分析/数据需求的方法。为作业者提供了分析指南,以便根据个别管道或管道系统中遇到的危险进行优化。这一过程包括特征筛选、完整性/岩土工程专家审查和风险控制/缓解措施(如有必要)。为了方便特征筛选过程,本文在[3]的基础上,根据特征的类型、活动和来源,提出了一个ILI IMU特征的分类系统。
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