A review on pipeline integrity management utilizing in-line inspection data

Xie, Mingjiang; Tian, Zhigang

doi:10.1016/j.engfailanal.2018.05.010

Cited by 192 publications

(76 citation statements)

References 128 publications

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“…In practice however, audits can also constitute the final stage of the framework whereby audit findings are used to improve the quality of system inputs. Once a reasonable understanding of the current state is gained, the next step involves identifying the relevant standards for PT health management, estimation of health index, failure analysis (including failure investigation using FTA, RBD and FMECA approaches) [51,[56][57][58][59][60][61][62], useful age and cost estimations. The final stages of the framework involve the harmonization of the acquired information to improve engineering decision-making as well as the routine evaluation of the suitability of such decisions.…”

Section: Proposed Mam Frameworkmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.

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Section: Proposed Mam Frameworkmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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“…The regular smart PIG is a usually designed as a rectangular-shaped robot, which would fit tightly in the inner surface of cylindrical-shaped pipelines. At the beginning of the designing phase, only three symmetrical installed odometers are used as the travel distance measurement equipment of the regular smart PIG in the inspected pipeline, which is shown in Figure 3 [ 51 , 52 ]. However, the distance measurement odometers installed on the regular smart PIG could slip when the regular smart PIG travels over areas covered by wax or mud, and the regular smart PIG travels over the Pipeline Bending Angle (PBA) [ 53 , 54 ].…”

Section: Pig Surveying Technologiesmentioning

confidence: 99%

A Comprehensive Review of Micro-Inertial Measurement Unit Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline Surveying

et al. 2020

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It is of great importance for pipeline systems to be is efficient, cost-effective and safe during the transportation of the liquids and gases. However, underground pipelines often experience leaks due to corrosion, human destruction or theft, long-term Earth movement, natural disasters and so on. Leakage or explosion of the operating pipeline usually cause great economical loss, environmental pollution or even a threat to citizens, especially when these accidents occur in human-concentrated urban areas. Therefore, the surveying of the routed pipeline is of vital importance for the Pipeline Integrated Management (PIM). In this paper, a comprehensive review of the Micro-Inertial Measurement Unit (MIMU)-based intelligent Pipeline Inspection Gauge (PIG) multi-sensor fusion technologies for the transport of liquids and gases purposed for small-diameter pipeline (D<30cm) surveying is demonstrated. Firstly, four types of typical small-diameter intelligent PIGs and their corresponding pipeline-defects inspection technologies and defects-positioning technologies are investigated according to the various pipeline defects inspection and localization principles. Secondly, the multi-sensor fused pipeline surveying technologies are classified into two main categories, the non-inertial-based and the MIMU-based intelligent PIG surveying technology. Moreover, five schematic diagrams of the MIMU fused intelligent PIG fusion technology is also surveyed and analyzed with details. Thirdly, the potential research directions and challenges of the popular intelligent PIG surveying techniques by multi-sensor fusion system are further presented with details. Finally, the review is comprehensively concluded and demonstrated.

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Section: Overview Of the Structural Reliability Modelmentioning

confidence: 99%

“…If a certain NDT technique effectively detects a crack and the structural reliability is analysed, then the process of measuring the geometrical characteristics of the crack should certainly follow. [26][27][28] The measurement is, in some cases, made using an NDT technique other than the detection technique. In practice, the size of the crack is generally determined and recorded by an NDT inspector without following a rigorous documentation procedure.…”

Section: Ndt Measurementsmentioning

confidence: 99%

Structural reliability assessment of cracked pipes: The role of probability of detection data

Mussini¹,

Cancela²,

Clarke

2018

Fatigue Fract Eng Mat Struct

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The structural reliability of industrial pipes, including those in the nuclear, oil, and gas industries, has a significant impact on the safety of people and the environment. This work aims to develop a computational structural reliability model method in conjunction with the failure assessment diagram method and the user‐defined probability of detection curves of non‐destructive testing are used. The concept of “reliability factor of a repair” is proposed. Then, the effects of the pipe inspection considering different user‐defined probability of detection curves and different values of the reliability factor of a repair on probability of failure are discussed. The main results include the identification of cases where performing repairs do not guarantee an improved reliability, as well as the consequences of considering the repair as a “perfect process” which result in non‐conservative assessments.

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A review on pipeline integrity management utilizing in-line inspection data

Cited by 192 publications

References 128 publications

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

A Comprehensive Review of Micro-Inertial Measurement Unit Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline Surveying

Structural reliability assessment of cracked pipes: The role of probability of detection data

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