OPEX Optimisation for Un-Piggable Vent Line/Low Flow Pipeline Inspection via Self-Propelling Robotic ILI Tool

Mohamed Ali Abdullah, Aishah Mastura Supian, M. N. Ahmad, M. N. M Ali Napiah, Ahmad Sirwan Mat Tuselim, Muzdalifah Zakaria, Hendra Luthfi Hassan, Mohamed Ridzuan Mohamed Abd Salam, Gurin Denis, Lebedev Mikhail, Fertikova Elena, Romanovich Vitaly
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Abstract

This paper is to share the development of Self-Propelling Robotic In-Line Inspection technology that PETRONAS embark as OPEX optimization for un-piggable pipeline. Lack of conventional inspection methods to inspect un-piggable pipelines such as vent pipelines without pig traps facility and low flow pipelines, has prompted PETRONAS to embark on technology development journey for Self-Propelling Robotic ILI. The development of the Self-Propelling Robotic In-Line technology consists enhancement of robotic tethered crawler tool to a wireless robotic tool, testing and validation using actual full scale fabrication test loop. Fabricated test loop includes horizontal and vertical section with bends of 1.5D to simulate the inspection tool travel as per actual site condition representing vent line. The enhancement consists of wireless connection range, optimum speed and distance, movement of slippery surface which grease was applied on the vertical section and emergency extraction of inspection robot. Robotic ILI qualification test which was successfully met PETRONAS requirement based on full scale factory acceptance test. The test was focused and able to meet below success criteria: - Robotic ILI tool able to self-propel on vertical test spool. Robotic ILI tool able to move with wireless connection for the intended travel length. Emergency retrieval tool procedure and mechanism in the event of faulty robotic ILI or loss of connection. Sensor detection capability at POD 90% and POI 80%. Based on the evaluated technology, Robotic ILI solution is feasible in ascertaining the un-piggable pipeline integrity and recommended solution to tackle high operational costs that upstream operators face when inspecting their pipelines using current available methods. Deployment of this technology is estimated to provide up to 30% OPEX optimization. The technology has been evaluated to be technically ready and tested which currently in the stage of pilot testing. Current approach to inspect un-piggable vent or low flow pipeline is Crawler ILI type technology which propelled by umbilical cable whereby the pipeline requires to be in shutdown mode. While inspection using Self-Propelling Robotic ILI can be applied for un-piggable pipeline i.e. low flow pipeline and vent line with short duration or no requirement of shutdown.
通过自推进机器人ILI工具对不可清管排气管道/低流量管道进行OPEX优化
本文将分享马来西亚国家石油公司(PETRONAS)在不可清管管道的OPEX优化中采用的自推进式机器人在线检测技术的发展。由于缺乏常规的检测方法来检测无法清管的管道,例如没有清管器设施的排气管道和低流量管道,这促使PETRONAS开始了自推进机器人ILI的技术开发之旅。自推进机器人在线技术的发展包括将机器人系绳履带工具增强为无线机器人工具,并使用实际的全尺寸制造测试回路进行测试和验证。制造的测试回路包括水平和垂直部分,弯曲度为1.5D,以模拟检测工具的行程,根据实际现场条件代表排气线。增强包括无线连接范围、最佳速度和距离、在垂直段涂抹油脂的光滑表面的移动以及巡检机器人的紧急提取。机器人ILI资格测试,成功地满足了PETRONAS基于全尺寸工厂验收测试的要求。测试集中,能够满足以下成功标准:-机器人ILI工具能够在垂直测试轴上自我推进。机器人ILI工具能够通过无线连接移动到预定的行程长度。机器人ILI故障或失去连接时的紧急恢复工具程序和机制。传感器检测能力在POD 90%和POI 80%。基于评估的技术,机器人ILI解决方案在确定不可清管管道完整性方面是可行的,并且是解决上游运营商在使用现有方法检查管道时面临的高运营成本的推荐解决方案。该技术的部署预计可提供高达30%的运营成本优化。该技术已被评估为技术准备和测试,目前处于试点测试阶段。目前检查无法清管的通风口或低流量管道的方法是Crawler ILI型技术,该技术由脐带电缆推动,管道需要处于关闭模式。而自推进机器人ILI检测则适用于不可清管的管道,即短时间或不需要停机的低流量管道和排气管道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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