An Update to the UKOPA Pipeline Damage Distributions

Goodfellow, Graham; Turner, Susannah; Haswell, Jane; Espiner, Richard

doi:10.1115/ipc2012-90247

Cited by 5 publications

(7 citation statements)

References 10 publications

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“…During 30 years of operation, hydrocarbon gas buried onshore pipelines in Indonesia experienced 18 leaks and ruptures or 5.32E‐04/km‐year on average. Compared with the latest edition of EGIG, UKOPA, PNGPC, and PHMSA pipeline failure rates of 2.90E‐04/km‐year, 9 2.12E‐04/km‐year, 10 1.81E‐04/km‐year, 17 and 1.40E‐04/km‐year, 11 respectively. Indonesia's failure rate is significantly higher.…”

Section: Frequency Of Failuresmentioning

confidence: 99%

“…19 Another source 20 suggested the NEB causal model such as defect and deterioration, corrosion and cracking, equipment failure, incorrect operation, external interference, and natural force damage. This study followed the causal group suggested by UKOPA: Girth weld defect, external interference, internal corrosion, external corrosion, pipe material defect, ground movement, and seam weld defect 10 (Figure 4). such as UKOPA, PNGPC, and Alberta, where ground movement accounts for a small proportion of failures (3.5%, 4%, and 3.33%, respectively).…”

Section: Causal Factorsmentioning

confidence: 99%

“…To provide representative data for the pipeline failure rate, several organizations such as EGIG, UKOPA, PHMSA, CONCAWE, Transpetro Brazil, etc., collect and report transmission pipeline failure data EGIG (European Gas Pipeline Incident Data Group)—originally six European gas transmission operators, now 17 companies—collects gas pipeline failure data since 1970 from 42,711 km (or 4.84 million km) of gas pipeline in Europe 9 . UKOPA (United Kingdom Onshore Pipeline Operator's Association) collects 202 pipeline loss accidents from 23,897 km (or 951,250 km‐year) of onshore pipelines in the UK 10 . PHMSA collects pipeline accident data from 480,000 km of pipeline, with 977 accidents from 1970 to 2014 in the United States 11 .…”

Section: Introductionmentioning

confidence: 99%

“…9 UKOPA (United Kingdom Onshore Pipeline Operator's Association) collects 202 pipeline loss accidents from 23,897 km (or 951,250 km-year) of onshore pipelines in the UK. 10 PHMSA collects pipeline accident data from 480,000 km of pipeline, with 977 accidents from 1970 to 2014 in the United States. 11 CONCAWE records 66 oil spill accidents from 35,414 km of oil pipeline in 2016 from various cross-country oil pipeline operators.…”

mentioning

confidence: 99%

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Collection and analysis of hydrocarbon gas buried onshore pipeline accidents in Indonesia as the databases for failure frequency assessment in a quantitative risk analysis

Mukharror,

Maulana,

Yusuf

et al. 2023

Process Safety Progress

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As of May 31, 2022, approximately 18,687 km of gas pipeline has been built in Indonesia. However, the pipeline failure data are yet to be gathered or evaluated. In quantitative risk assessment (QRA), the pipeline failure frequency is calculated by a generic failure frequency approach. Most of these generic failure frequency data are based on other region pipeline incident databases. This paper aims to provide the basis of data for the failure frequency of Indonesia's buried onshore pipeline. Accident data from 1127.9 km of underground onshore gas pipelines within 30 years (1976–2006) in Indonesia were gathered and assessed to provide the cause and effect of pipeline age and diameter on the generic failure rate. This research reveals the average failure rate of 5.32E‐04/km‐year of onshore pipelines in Indonesia. The study concluded that baseline failure frequencies from this analysis could be used for buried onshore pipeline quantitative risk assessment purposes. Further pipeline failure research for a relatively current period (e.g., from 2006 to 2022), type of installation (e.g., buried, or non‐buried), and other applications of the pipeline (e.g., offshore pipeline) should be conducted as a way forward for this study to have a complete database for Indonesian accidents.

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Section: Frequency Of Failuresmentioning

confidence: 99%

Section: Causal Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Collection and analysis of hydrocarbon gas buried onshore pipeline accidents in Indonesia as the databases for failure frequency assessment in a quantitative risk analysis

Mukharror,

Maulana,

Yusuf

et al. 2023

Process Safety Progress

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“…8,9 Similar issues are prevalent in gas and oil pipelines as well as water pipelines. The European Gas Pipeline Incident Data Group 10 and the United Kingdom Onshore Pipeline Operators' Association 11 reported that approximately 28.3% (2007-2016) and 21.6% (1962-2019) of pipeline failures were induced by TPI. Therefore, the structural health monitoring (SHM) technology has emerged to prevent their failures of buried pipelines and solve the social issues related to them.…”

Section: Introductionmentioning

confidence: 99%

Source location and anomaly detection for damage identification of buried pipelines using kurtosis-based transfer function

Lee,

Park,

Yoon

2023

Structural Health Monitoring

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The failure of buried pipelines can lead to serious consequences such as explosions, environmental pollution, settlement, as well as economic loss. To prevent these outcomes, it is crucial to identify the causes of failure and monitor their signs. One of the main causes of failure is unexpected third-party interference (TPI), which is particularly challenging to detect. Regarding to this issue, this study proposes a new algorithm for monitoring impact damage, which can be used for prompt response and damage prevention. The algorithm is integrated into the system using two approaches. The first approach focuses on detecting the location of the damage (referred to as source location). A kurtosis-based transfer function was newly proposed to selecting the optimal frequency band for time-difference-of-arrival based source location, resulting in accurate pinpointing of damage, even in a noisy environment. The second approach is used to determine whether impact damage has actually occurred by observing newly suggested features in both the time and frequency domains (referred to as anomaly detection). These features evaluate the presence of damage and the similarity between signals. As a result, it was evaluated that the field applicability was higher than that of conventional methods, and the superiority of the proposed method was also verified through field experiments. The method proposed in this study is expected to enable immediate response when the integrity of the buried pipelines is on the line of failure due to TPI.

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Validation of the NG-18 equations for thick walled pipelines

Lyons

Race

Chang

et al. 2020

Engineering Failure Analysis

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The applicability of the flow stress dependent NG-18 equations to thick wall pipelines such as those used to transport dense phase carbon dioxide (CO2) is demonstrated. A comparison between the components of the NG-18 equations and BS 7910 shows that the factor MT for though-wall defects and MP for part-wall defects in the NG-18 equations are very close to the reference stress solutions in BS 7910 Annex P, which are applicable to thick wall pipe. Thus, by inference, the flow stress dependent form of the NG-18 equations is also applicable to thick wall pipe. A further comparison with experimental failure data for thick wall pipes shows that the flow stress dependent NG-18 equations are applicable to wall thicknesses of up to 47.2 mm when the full-size equivalent upper shelf Charpy V-notch impact energy is at least 50 J. The results suggest that in principle, the flow stress dependent NG-18 equations may be used as limit state functions in models to calculate the failure frequency due to third party external interference, for high toughness, thick wall pipelines such as those required for dense phase CO2 pipelines.

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An Update to the UKOPA Pipeline Damage Distributions

Cited by 5 publications

References 10 publications

Collection and analysis of hydrocarbon gas buried onshore pipeline accidents in Indonesia as the databases for failure frequency assessment in a quantitative risk analysis

Collection and analysis of hydrocarbon gas buried onshore pipeline accidents in Indonesia as the databases for failure frequency assessment in a quantitative risk analysis

Source location and anomaly detection for damage identification of buried pipelines using kurtosis-based transfer function

Validation of the NG-18 equations for thick walled pipelines

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