System-level prognosis and health monitoring modeling framework and software implementation for gas pipeline system integrity management

Chalgham, Wadie; Wu, Keo-Yuan; Mosleh, Ali

doi:10.1016/j.jngse.2020.103671

Cited by 19 publications

(4 citation statements)

References 54 publications

(80 reference statements)

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“…If hydrogen is expanded, e.g., on leakage, the Joule-Thomson effect increases the temperature of H 2 ; however, in the case of lots of gases, the temperature decreases during their extension. For this reason, to reduce the probability of failure, it is necessary to apply a modelling framework for integrity management of a pipeline system similar to that described in [3,6].…”

Section: Introductionmentioning

confidence: 99%

Impact of hydrogen blended natural gas on linepack energy for existing high pressure pipelines

2023

Archives of Thermodynamics

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The aim of this work is to examine the impact of the hydrogen blended natural gas on the linepack energy under emergency scenarios of the pipeline operation. Production of hydrogen from renewable energy sources through electrolysis and subsequently injecting it into the natural gas network, gives flexibility in power grid regulation and the energy storage. In this context, knowledge about the hydrogen percentage content, which can safely effect on materials in a long time steel pipeline service during transport of the hydrogen-natural gas mixture, is essential for operators of a transmission network. This paper first reviews the allowable content of hydrogen that can be blended with natural gas in existing pipeline systems, and then investigates the impact on linepack energy with both startup and shutdown of the compressors scenarios. In the latter case, an unsteady gas flow model is used. To avoid spurious oscillations in the solution domain, a flux limiter is applied for the numerical approximation. The GERG-2008 equation of state is used to calculate the physical properties. For the case study, a tree-topological high pressure gas network, which have been inservice for many years, is selected. The outcomes are valuable for pipeline operators to assess the security of supply.

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Section: Introductionmentioning

confidence: 99%

Impact of hydrogen blended natural gas on linepack energy for existing high pressure pipelines

2023

Archives of Thermodynamics

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“…Furthermore, implementing regular ILI using an IMU proves beneficial for monitoring pipeline displacement, rate of change, and promptly identifying and reporting significant changes in defect points [13][14][15]. This method aids in monitoring and alerting pipeline strain, identifying and locating abnormal points on the pipeline, and ultimately enhancing pipeline integrity management for pipeline companies [16,17]. To be specific, Liu et al [18] proposed a spiral error compensation method, that improves the detection accuracy of centerline mapping, reduces the occurrence of spiral error, and calibrates and compensates for pipe bending strain, effectively enhancing the accuracy of pipe displacement and strain detection.…”

Section: Introductionmentioning

confidence: 99%

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

Ma,

Hu,

Wang

et al. 2023

Meas. Sci. Technol.

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Despite the availability of pipeline bending strain detection technologies based on inertial measurement unit (IMU), there is a lack of intelligent and efficient methods for accurately identifying pipeline features by bending strain. Therefore, this paper proposes a novel method for identifying features in natural gas pipelines based on shapelet and blending fusion model. Specifically, the shape features of the bending strain data are extracted and transformed by shapelet. Then a blending fusion model with SVM, Decision Tree and Gradient Boosting as base learners and Random Forest as meta-learner is constructed. Finally, the extracted features are fed into the blending fusion model for pipeline feature recognition. The model is trained with bending strain data obtained from a real natural gas pipeline, the results indicate that the recognition accuracy of the proposed method is 97.17%. Compared with other models, the superiority of the proposed model is verified, and it is proved that the proposed method has better accuracy than the existing models (over 1.3%). Overall, the method proposed in this paper can be effectively combined with the in-line inspection system to provide a reference for pipeline companies to carry out pipeline integrity management.

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“…Secondly, the consequences of emergency situations (COVID-19 pandemic, Russian-Ukrainian conflict, sanctions pressure on Russia, Venezuela, Iran) [22][23][24][25]. In April 2020, as a result of a decrease in demand for oil, its price fell to negative values, which led to the bankruptcy of a number of producers whose production was based on credit funds [26][27][28][29]. Thirdly, the "green agenda", which is actively promoted by the administration of J.R. Biden.…”

Section: Introductionmentioning

confidence: 99%

Prospects for the development of the oil and gas sector in the Russian Federation

Zhichkin

Zhichkina²,

Moskaleva³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The purpose of the study was to predict the prospects for the development of this sector. As part of this, the following tasks were set: - to analyze the state of oil and gas production in Russia and the world; - to determine the factors affecting the economic efficiency of oil and gas production; - predict the level of production in the medium term. Currently, Russia ranks 2nd in terms of oil and gas production, and in terms of reserves - 7th and 1st respectively. Oil and gas production enterprises play an important social role, providing employment for a significant number of the population, high incomes, and maintenance of social facilities. Industry enterprises have shown high resilience to external influences during the COVID-19 pandemic and the Ukrainian crisis.

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System-level prognosis and health monitoring modeling framework and software implementation for gas pipeline system integrity management

Cited by 19 publications

References 54 publications

Impact of hydrogen blended natural gas on linepack energy for existing high pressure pipelines

Impact of hydrogen blended natural gas on linepack energy for existing high pressure pipelines

An intelligent feature recognition method of natural gas pipelines based on shapelet and blending fusion model

Prospects for the development of the oil and gas sector in the Russian Federation

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